Home | Research | Area C

C | Domain-Specific Machine Learning

shows an immense potential, as both universities have several highly visible scientific domains with internationally renowned experts. This area facilitates translating ML concepts and technologies to many different domains.

MCML @Google Scholar

C1 | Medicine

The research at MCML in Medicine and Healthcare focus on objectives that are necessary to overcome the hurdles for the deployment of ML approaches in clinical environments. In particular, advances are required in interpretable and explainable deep learning, robust and data efficient learning, privacy preserving learning, as well as in trust and safety of autonomous AI and ML systems.

Björn Eskofier

Prof. Dr.

Core PI

Artificial Intelligence in Medicine

Michael Ingrisch

Prof. Dr.

Core PI

Clinical Data Science in Radiology

Carsten Marr

Prof. Dr.

Core PI

Artificial Intelligence in Cell Therapy and Hematology

Martin Menten

Dr.

JRG Leader AI for Vision

Artificial Intelligence in Healthcare and Medicine

Nassir Navab

Prof. Dr.

Core PI

Computer Aided Medical Procedures & Augmented Reality

Daniel Rückert

Prof. Dr.

Director

Artificial Intelligence in Healthcare and Medicine

Julia Schnabel

Prof. Dr.

Core PI

Computational Imaging and AI in Medicine

Peter Schüffler

Prof. Dr.

Core PI

Computational Pathology

Federico Tombari

PD Dr.

Collaborating PI

Computer Aided Medical Procedures & Augmented Reality

Christian Wachinger

Prof. Dr.

Core PI

Artificial Intelligence in Medical Imaging

Benedikt Wiestler

Prof. Dr.

Core PI

AI for Image-Guided Diagnosis and Therapy

©all images: LMU | TUM

Publications in Research Area C1

[470]

M. F. Dasdelen • F. Ozlugedik • A. Litinetskaya • N. Navab • C. Marr • A. Sadafi
Re-mixing Embeddings for Patient Augmentation in Data Scarce Multiple Instance Learning.
MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2026. To be published. Preprint available. arXiv GitHub

[469]

M. F. Dasdelen • F. Ozlugedik • I. Looser • R. M. Umer • C. Pohlkamp • C. Marr
Genetically Aligned Patient Representations Improve Hematological Diagnosis.
MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2026. To be published. Preprint available. arXiv GitHub

[468]

A. Sadafi • M. Deutges • N. Navab • C. Marr
Measuring Prediction Uncertainty in Neural Cellular Automata.
MICCAI 2026 - 29th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2026. To be published. Preprint available. arXiv GitHub

[467]

D. Sens • L. Shilova • A. V. Dalca • J. A. Schnabel • F. P. Casale
GEMCONT: Genetics-based Multimodal Contrastive Learning Enhances Phenotypic embeddings and Boosts Genetic Discovery.
MIDL 2026 - Medical Imaging with Deep Learning. Taipei, Taiwan, Jul 08-10, 2026. To be published. Preprint available. URL

[466]

A. Weers • A. H. Berger • L. Lux • P. J. Schüffler • D. Rückert • J. C. Paetzold
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
MIDL 2026 - Medical Imaging with Deep Learning. Taipei, Taiwan, Jul 08-10, 2026. To be published. Preprint available. GitHub

[465]

A. Weers • D. Rückert • M. J. Menten
Weighting What Matters: Boosting Sample Efficiency in Medical Report Generation via Token Reweighting.
MIDL 2026 - Medical Imaging with Deep Learning. Taipei, Taiwan, Jul 08-10, 2026. To be published. Preprint available. URL

[464]

E. Kavak • T. N. Wolf • C. Wachinger
DISCO: Mitigating Bias in Deep Learning with Conditional Distance Correlation.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. Spotlight Presentation. To be published. Preprint available. URL GitHub

[463]

L. Kreitner • P. Hager • J. Mengedoht • G. Kaissis • D. Rückert • M. J. Menten
Efficient numeracy in language models through single-token number embeddings.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. Spotlight Presentation. To be published. Preprint available. URL

[462]

W. Chen • K. Tateno • H. Matsuki • M. Niemeyer • D. Cremers • F. Tombari
DynaTok: Token-Based 4D Reconstruction from Partial Point Clouds.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[461]

M. Hasny • L. A. Daza • K. Bressem • M. Di Folco • J. A. Schnabel
No Data? No Problem: Robust Vision-Tabular Learning with Missing Values.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[460]

G. Kaissis • D. Mildenberger • J. Gomez • M. J. Menten • E. Triantafillou
Step-resolved data attribution for looped transformers.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[459]

F. Kapl • A. M. K. Mamaghan • M. Seitzer • K. H. Johansson • C. Marr • S. Bauer • A. Dittadi
Are Object-Centric Representations Better at Compositional Generalization?
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[458]

M. Krahn • L. Bastian • V. K. Garg • B. W. Schuller • T. Birdal
Collapsed Effective Operators for Higher-order Structures.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[457]

J. Li • M. Liu • J. Pan • C. Liu • W. Bai • C. I. Bercea • J. A. Schnabel
Dynamic Decision Learning: Test-Time Evolution for Abnormality Grounding in Rare Diseases.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[456]

J. McGinnis • F. A. Hölzl • S. Shit • F. Bieder • P. Friedrich • M. Mühlau • B. Menze • D. Rückert • B. Wiestler
Optimizing Rank for High-Fidelity Implicit Neural Representations.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[455]

N. Morbitzer • J. Evers • A. Savkin • T. Stauner • N. Navab • F. Tombari • S. Gasperini
Future Dynamic 3D Reconstruction: A 3D World Model with Disentangled Ego-Motio.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[454]

A. Riess • J. F. Gomez • F. Calmon • J. A. Schnabel • G. Kaissis
Optimal conversion from Rényi Differential Privacy to f-Differential Privacy.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[453]

T. D. Wang • T. Birdal • N. Navab • L. Bastian
DisPOSE: Projected Polystochastic Diffusion for Self-Supervised Multi-View 3D Human Pose Estimation.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[452]

J. Guo • Z. Duan • M. Neiiendam • D. Huang • N. Navab • Z. Jiang
ConVibNet: Needle Detection during Continuous Insertion via Frequency-Inspired Features.
IPCAI 2026 - 17th International Conference on Information Processing in Computer-Assisted Interventions. Nagoya, Japan, Jul 02-03, 2026. To be published. Preprint available. arXiv

[451]

A. Rota • M. Kiray • M. A. Karaoglu • P. Ruhkamp • E. De Momi • N. Navab • B. Busam
UnReflectAnything: RGB-Only Highlight Removal by Rendering Synthetic Specular Supervision.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. Oral Presentation. To be published. Preprint available. arXiv GitHub

[450]

N. Araslanov • M. Sundermeyer • H. Matsuki • D. J. Tan • F. Tombari
Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. To be published. Preprint available. arXiv GitHub

[449]

V. Ehm • D. Cao • R. Marin • D. Scholz • W. Wang • F. Bernard • D. Cremers
Teaching DINOv3 About Partial 3D Geometry: A Self-Supervised Geometry-Aware Approach.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. To be published. Preprint available. URL

[448]

W. Li • L. Garattoni • F. Despinoy • N. Navab • B. Busam
Object Pose Transformer: Unifying Unseen Object Pose Estimation.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. To be published. Preprint available. arXiv

[447]

K. Yuan • M. Sun • Z. Chen • A. Lozano • X. He • S. Li • N. Navab • X. Sun • N. Padoy • S. Yeung-Levy
From Panel to Pixel: Zoom-In Vision-Language Pretraining from Biomedical Scientific Literature.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. To be published. Preprint available. URL

[446]

T. Dorosti • D. Frey • J. B. Thalhammer • J. F. Hilmer • P. Bleuel • S. Peterhansl • J. McGinnis • D. Pfeiffer • F. Pfeiffer • D. Rückert • F. Schaff
Streak Artifact Reduction in Human-scale Dark-field CT Using 3D Gaussian Splatting.
CT Meeting 2026 - 9th International Conference on Image Formation in X-Ray Computed Tomography. Salt Lake City, USA, Jun 01-03, 2026. To be published. Preprint available. URL

[445]

D. Frey • T. Dorosti • J. B. Thalhammer • J. F. Hilmer • P. Bleuel • T. Hiu • S. Peterhansl • J. McGinnis • T. Koehler • D. Pfeiffer • F. Pfeiffer • D. Rückert • F. Schaff
Structured Loss Amplification for U-Net-based Human-scale Dark-field CT Streak Reduction.
CT Meeting 2026 - 9th International Conference on Image Formation in X-Ray Computed Tomography. Salt Lake City, USA, Jun 01-03, 2026. To be published. Preprint available. PDF

[444]

O. Öcal • A. T. Stüber • G. Abacı • M. Wildgruber • N. Mansour • S. Deniz • D. Puhr-Westerheide • M. P. Fabritius • J. Ricke • M. Ingrisch • M. Seidensticker
Prognostic and predictive value of radiomics-based imaging features in patients with colorectal liver metastasis receiving radioembolisation in first-line setting.
European Journal of Radiology Open 16. Jun. 2026. DOI

[443]

D. Huang • Z. Cong • N. Navab • Z. Jiang
RAG-RUSS: A Retrieval-Augmented Robotic Ultrasound for Autonomous Carotid Examination.
ICRA 2026 - IEEE International Conference on Robotics and Automation. Vienna, Austria, Jun 01-05, 2026. To be published. Preprint available. arXiv

[442]

A. Ramazzina • S. Gasperini • M. Bijelic • F. Heide • F. Tombari
Learning 3D Scene Reconstruction From Nighttime Driving Videos.
IEEE Robotics and Automation Letters Early Access. Jun. 2026. DOI GitHub

[441]

Y. Li • I. Yakushev • D. M. Hedderich • C. Wachinger
Translating MRI to PET through conditional diffusion models with enhanced pathology awareness.
Medical Image Analysis 111.104035. Jun. 2026. DOI GitHub

[440]

H. Li • J. Liu • Z. Huang • Z. Li • X. Ma • P. J. Schüffler • N. Navab • S. K. Zhou
PASS-Tr: PAtch-wise swin slice attention to leverage generalization of 2D large vision model to universal lesion detection.
Medical Image Analysis 111.104036. Jun. 2026. DOI

[439]

Y. Bi • Y. Su • N. Navab • Z. Jiang
Gaze-Guided Robotic Vascular Ultrasound Leveraging Human Intention Estimation.
RASEI @ICRA 2026 - Workshop on Embracing Intelligent Robotic Assistants for Robot-assisted Surgery in the Era of Embodied Intelligence: Trends, Opportunities, and Challenges at the IEEE International Conference on Robotics and Automation. Vienna, Austria, Jun 01-05, 2026. Best Poster Award. DOI

[438]

A. Zhuravlev • L. Bastian • D. Cao • N. E. Amrani • P. Roetzer • V. Ehm • R. Marin • H. Nishizawa • S. Morishima • C. Theobalt • N. Navab • D. Cremers • F. Bernard • Z. Lähner • V. Golyanik
Non-Rigid 3D Shape Correspondences: From Foundations to Open Challenges and Opportunities.
EUROGRAPHICS 2026 - 47th Annual Conference of the European Association for Computer Graphics. Aachen, Germany, May 04-08, 2026. To be published. Preprint available. arXiv GitHub

[437]

M. Schlager • E. Sommer • T. Möllenhoff • D. Rügamer
Guiding Posterior Exploration with Optimizer-Derived Geometry.
OPTIMAL @AISTATS 2026 - Workshop on Optimisation and Post-Bayesian Inference in Machine Learning at the 29th International Conference on Artificial Intelligence and Statistics. Tangier, Morocco, May 02-05, 2026. GitHub

[436]

J. Büssing • M. Schlager • T. Heiß • T. Zehle • M. Feurer
MO-CAPO: Multi-Objective Cost-Aware Prompt Optimization.
Preprint (May. 2026). arXiv

[435]

J. Dexl • K. Jeblick • A. Mittermeier • B. Schachtner • A. T. Stüber • J. Topalis • M. Rokuss • F. Isensee • K. H. Maier-Hein • H. Kalisch • J. Kleesiek • C. M. Seibold • H. Alasmawi • L. Y. L. Chan • Y. Yuan • A. Jaus • R. Stiefelhagen • P. O. M. Choudja • K. Nikolaou • C. La Fougère • S. Gatidis • M. P. Fabritius • M. Heimer • G. Abaci • L. K. S. Sundar • R. A. Werner • J. Ricke • C. C. Cyran • T. Küstner • M. Ingrisch
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT – Multitracer Multicenter Generalization.
Preprint (May. 2026). arXiv GitHub

[434]

K. Li • M. Niemeyer • S. Wang • S. Gasperini • N. Navab • F. Tombari
OpenGaFF: Open-Vocabulary Gaussian Feature Field with Codebook Attention.
Preprint (May. 2026). arXiv

[433]

M. I. Todorov • K. Todorov-Völgy • Minde • S. Kapoor • M. Ali • R. Malik • J. C. Paetzold • J. McGinnis • L. Zhang • A. Nottebrock • L. Liu • M. Simons • H. S. Bhatia • M. K. Georgakis • M. Dichgans • F. Hellal • A. Ertürk
Reversible hypervascularization drives cognitive decline and blood-brain barrier damage during aging.
Preprint (May. 2026). DOI

[432]

C. Wachinger • B. Renger • C. Späth • J. Kirschke • M. Makowski
Whole-body CT attenuation and volume charts from routine clinical scans via evidence-grounded LLM report filtering.
Preprint (May. 2026). arXiv GitHub

[431]

D. Bani-Harouni • C. Pellegrini • E. Özsoy • N. Navab • M. Keicher
Language Agents for Hypothesis-driven Clinical Decision Making with Reinforcement Learning.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. arXiv

[430]

D. Bani-Harouni • C. Pellegrini • P. Stangel • E. Özsoy • K. Zaripova • N. Navab • M. Keicher
Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. URL GitHub

[429]

J. McGinnis • S. Shit • F. A. Hölzl • P. Friedrich • P. Büschl • V. Sideri-Lampretsa • M. Mühlau • P. C. Cattin • B. Menze • D. Rückert • B. Wiestler
Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. URL GitHub

[428]

G. Zhai • Y. Zhou • X. Deng • L. Heckler • N. Navab • B. Busam
Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. arXiv

[427]

R. Al Attrach • R. Fani • D. Restrepo • Y. jia • L. A. Celi • P. J. Schüffler
Cached Foundation Model Summaries for Memory-Efficient Clinical Time Series Inference.
TSALM @ICLR 2026 - Workshop on Time Series in the Age of Large Models at the 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. URL

[426]

J. Brandt • M. Chevli • R. Braren • G. Kaissis • P. Müller • D. Rückert
LungEvaty: A Scalable, Open-Source Transformer-based Deep Learning Model for Lung Cancer Risk Prediction in LDCT Screening.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[425]

L. Felsner • H. Bast • T. Dorosti • F. Schaff • F. Pfeiffer • D. Pfeiffer • J. A. Schnabel
Uncertainty-guided Generation of Dark-field Radiographs.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[424]

D. Frey • T. Dorosti • J. McGinnis • T. Hiu • F. I. Ozlugedik • J. B. Thalhammer • S. Peterhansl • D. Rückert • F. Pfeiffer • F. Schaff
Robust Sparse-View Dark-Field CT with 3D Gaussian Splatting.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. PDF

[423]

D. Hooft • S. M. Fischer • C. I. Bercea • J. C. Peeken • J. A. Schnabel
LocBAM: Advancing 3D Patch-Based Image Segmentation by Integrating Location Contex.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv GitHub

[422]

M. Ikinci • L. Toma • K. U. Loeffler • L. Ussem • D. Süsskind • J. M. Weller • Y. Yeganeh • M. C. Herwig-Carl • S. Albarqouni
INTERACT-CMIL: Multi-Task Shared Learning and Inter-Task Consistency for Conjunctival Melanocytic Intraepithelial Lesion Grading.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[421]

H. Y. Kim • J. Li • A. B. Solana • C. M. Pirkl • B. Wiestler • J. A. Schnabel • C. I. Bercea
Learning to reason about rare diseases through retrieval-augmented agents.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[420]

J. Mayr • A. Reithmeir • M. Di Folco • J. A. Schnabel
Covariance Descriptors Meet General Vision Encoders: Riemannian Deep Learning for Medical Image Classification.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[419]

B. Schaper • M. Di Folco • B. Kainz • J. A. Schnabel • C. I. Bercea
Measuring and Aligning Abstraction in Vision-Language Models with Medical Taxonomies.
ISBI 2026 - IEEE 23rd International Symposium on Biomedical Imaging. London, UK, Apr 08-11, 2026. To be published. Preprint available. arXiv

[418]

M. M. Heimer • J. Dexl • J. Ta • R. Ebner • F. L. Herr • L. Orasanin • K. Jeblick • L. C. Adams • L. K. Shiyam Sundar • A. Tufman • R. A. Werner • G. Sheikh • J. Ricke • M. Ingrisch • M. P. Fabritius • C. C. Cyran
Artificial intelligence for TNM staging in NSCLC: a critical appraisal of segmentation utility in [1⁸F]FDG PET/CT.
European Journal of Nuclear Medicine and Molecular Imaging 53. Apr. 2026. DOI

[417]

C. Pellegrini • E. Özsoy • F. T. Gassert • A. W. Marka • M. Strenzke • M. Keicher • M. R. Makowski • N. Navab
Enhancing radiology workflows through collaborative AI-assisted chest X-ray reporting using large vision-language models: a proof-of-concept study.
Insights into Imaging 17.123. Apr. 2026. DOI

[416]

J. Guo • Z. Duan • M. Neiiendam • D. Huang • N. Navab • Z. Jiang
ConVibNet: Needle Detection during Continuous Insertion via Frequency-Inspired Features.
International Journal of Computer Assisted Radiology and Surgery. Apr. 2026. DOI

[415]

F. Li • Y. Bi • T. Song • Z. Jiang • N. Navab
Ultrasound-Guided Real-Time Spinal Motion Visualization for Spinal Instability Assessment.
International Journal of Computer Assisted Radiology and Surgery. Apr. 2026. DOI

[414]

T. Song • F. Li • F. Pabst • M.-A. Gafencu • Y. Bi • U. Eck • N. Navab
Comparative Study of Ultrasound Shape Completion and CBCT-Based AR Workflows for Spinal Needle Interventions.
International Journal of Computer Assisted Radiology and Surgery. Apr. 2026. DOI

[413]

A. Holz • M. Karmann • S. Deli • V. Neumaier • M. Bonhoeffer • F. Bongratz • B. Schmitz-Koep • P. Rossmueller • B. Zott • B. Wiestler • C. Sorg • C. Zimmer • C. Wachinger • D. M. Hedderich
Artificial intelligence-based segmentation of perisinusoidal tissue along the superior sagittal sinus in human brain magnetic resonance imaging.
Neuroradiology. Apr. 2026. DOI

[412]

M. Ingrisch
The architectural gap in clinical artificial intelligence.
The Lancet Digital Healths 8.2. Apr. 2026. DOI

[411]

M. Szep • D. Rückert • R. von Eisenhart-Rothe • F. Hinterwimmer
Fine-tuning Large Language Models with Limited Data: A Survey and Practical Guide.
Transactions of the Association for Computational Linguistics 14. Apr. 2026. DOI

[410]

P. Spitzer • D. Hendriks • J. Rudolph • S. Schläger • J. Ricke • N. Kühl • B. F. Hoppe • S. Feuerriegel
The effect of medical explanations from large language models on diagnostic accuracy in radiology.
npj Digital Medicine 9.333. Apr. 2026. DOI

[409]

E. Özsoy • C. Pellegrini • D. Bani-Harouni • K. Yuan • M. Keicher • N. Navab
Specialized foundation models for intelligent operating rooms.
npj Digital Medicine. Apr. 2026. DOI

[408]

E. Çetinkaya • S. Lee • J. U. Kim • H. J. Lee • N. Navab
From Adaptation to Generalization: Adaptive Visual Prompting for Medical Image Segmentation.
Preprint (Apr. 2026). arXiv GitHub

[407]

A. C. Erdur • D. Scholz • J. Pan • B. Wiestler • D. Rückert • J. C. Peeken
Agentic Large Language Models for Training-Free Neuro-Radiological Image Analysis.
Preprint (Apr. 2026). arXiv

[406]

M. Fehrentz • N. Stellwag • R. Wiebe • N. Thorisch • F. Grob • P. Remerscheid • K.-J. Simmoteit • B. D. Killeen • C. Heiliger • N. Navab
A 4D Representation for Training-Free Agentic Reasoning from Monocular Laparoscopic Video.
Preprint (Apr. 2026). arXiv GitHub

[405]

D. Frey • T. Hiu • J. McGinnis • T. Dorosti • J. Thalhammer • S. Peterhansl • Z. Huang • F. Pfeiffer • D. Rückert • F. Schaff
SONAR: A Physics-constrained Neural Representation for X-ray Dark-field CT.
Preprint (Apr. 2026). URL

[404]

J. Moll • J. Lübberstedt • C. Nuernbergk • J. Stroh • L. Mertens • A. Purcarea • C. Zirn • Z. Benchaaben • F. Drexel • H. Häntze • A. Narayanan • F. Puttkammer • A. Zhukov • J. Lammert • S. Ziegelmayer • M. Graf • M. Högner • M. Makowski • F. Bassermann • L. C. Adams • J. Pan • D. Rückert • K. Braitsch • K. K. Bressem
Agentic clinical reasoning over longitudinal myeloma records: a retrospective evaluation against expert consensus.
Preprint (Apr. 2026). arXiv

[403]

M. Pires • S. Gutschmayer • E. Bergalla • S. Chauvie • D. Amereller • E. Abenavoli • A. Lazarevic • N. Wegrzyn • P. Richter • I. Tibu • K. Miller • D. Kersting • M.-S. Kim • J. Dexl • M. Ingrisch • C. C. Cyran • M. Heimer • M. Kazazi • J. Callahan • R. Hicks • E. Ochoa • J. Benecke • F. Schmidt • R. Sciagra • J. Auriac • R. Seban-David • F. Orlhac • I. Buvat • S. C. Siegmund • L. Widjaja • R. A. Werner • G. Santo • A. Kronthaler • I. J. Virgolini • Y. G. Abdelhafez • H. Nalbant • M. Cheon • R. D. Badawi • A. Li • A. Vehmanen • J. Kemppainen • R. Klén • T. Beyer • L. K. S. Sundar
Fully automated segmentation of [18F]FDG- and PSMA-PET/CT images via data-centric Deep-Learning.
Preprint (Apr. 2026). DOI GitHub

[402]

K. Schwethelm • D. Rückert • G. Kaissis
How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models.
Preprint (Apr. 2026). arXiv

[401]

W. Shen • B. Jian • J. Li • C. Liu • J. Moll • X. Hu • D. Rückert • H. Li • J. Pan
Evo-MedAgent: Beyond One-Shot Diagnosis with Agents That Remember, Reflect, and Improve.
Preprint (Apr. 2026). arXiv

[400]

L. Stoffl • B. Wiestler • J. C. Paetzold
VERITAS: Verifiable Epistemic Reasoning for Image-Derived Hypothesis Testing via Agentic Systems.
Preprint (Apr. 2026). arXiv GitHub

[399]

P. Valera • M. Wysocki • F. Dülmer • M. F. Azampour • S. Herz • S. Wörz • N. Navab
Multivariate Gaussian NeRF for Wide Field-of-View Ultrasound Reconstruction.
Preprint (Apr. 2026). arXiv

[398]

Y. Xie • L. Bastian • C. Deng • T. W. Mitchel • M. Gao • D. Cremers
DeepShapeMatchingKit: Accelerated Functional Map Solver and Shape Matching Pipelines Revisited.
Preprint (Apr. 2026). arXiv GitHub

[397]

T. Zehle • T. Heiß • M. Schlager • M. Aßenmacher • M. Feurer
promptolution: A Unified, Modular Framework for Prompt Optimization.
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PLOS One 20.11. Nov. 2025. DOI

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S. S. Boushehri • S. Kazeminia • A. Gruber • C. Matek • K. Spiekermann • C. Pohlkamp • T. Haferlach • C. Marr
A large expert-annotated single-cell peripheral blood dataset for hematological disease diagnostics.
Scientific Data 12.1773. Nov. 2025. DOI

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F. Dülmer • J. Klaushofer • M. Wysocki • N. Navab • M. F. Azampour
UltraG-Ray: Physics-Based Gaussian Ray Casting for Novel Ultrasound View Synthesis.
Preprint (Nov. 2025). URL

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C. Grashei • C. Brechenmacher • R. M. Umer • J. Liu • C. Marr • E. Szczurek • P. J. Schüffler
Pathryoshka: Compressing Pathology Foundation Models via Multi-Teacher Knowledge Distillation with Nested Embeddings.
Preprint (Nov. 2025). arXiv

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A. Kazemi • J. Slotta-Huspenina • C. Saueressig • J. Liu • J. Horstmann • J. Shakhtour • N. Navab • S. Eslami • M. Quante • P. J. Schüffler
A Clinical Benchmark of Foundation Models: Towards Reliable Morphological Subtyping and Cancer Detection on Real-World Barrett’s Esophagus Data.
Preprint (Nov. 2025). DOI

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J. Kiechle • S. M. Fischer • D. M. Lang • C. I. Bercea • M. J. Nyflot • L. Felsner • J. A. Schnabel • J. C. Peeken
TomoGraphView: 3D Medical Image Classification with Omnidirectional Slice Representations and Graph Neural Networks.
Preprint (Nov. 2025). arXiv GitHub

[307]

H. Li • J. Liu • Z. Xu • P. J. Schüffler • N. Navab • S. K. Zhou
AlignedFusion: Handling Missing Information in Reports and Inter-Modality Information Imbalance.
Preprint (Nov. 2025). URL

[306]

K. Li • M. Niemeyer • Z. Chen • N. Navab • F. Tombari
MonoGSDF: Exploring Monocular Geometric Cues for Gaussian Splatting-Guided Implicit Surface Reconstruction.
Preprint (Nov. 2025). arXiv

[305]

N. Li • M. Ghahremani • B. Jian • P. T. Cervera • B. Wiestler • M. Makowski • C. Wachinger
Cross-Domain Semi-Supervised Organ Detection.
Preprint (Nov. 2025). URL

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J. Liu • H. Li • N. Navab • P. J. Schüffler
From Linear Probing to Joint-Weighted Token Hierarchy: A Foundation Model Bridging Global and Cellular Representations in Biomarker Detection.
Preprint (Nov. 2025). arXiv

[303]

L. Lux • A. H. Berger • M. R. Tricas • R. Rosen • A. E. Fayed • S. Sivaprasada • L. Kreitner • J. Weidner • M. J. Menten • D. Rückert • J. C. Paetzold
Interpretable Retinal Disease Prediction Using Biology-Informed Heterogeneous Graph Representations.
Preprint (Nov. 2025). arXiv

[302]

L. Shilova • D. Sens • A. Aliyeva • S. Xu • E. Salin • J. Schiefelbein • B. Asani • O. V. Amarie • E. Schneltzer • A. V. Segrè • J. A. Schnabel • N. Cai • B. M. Eskofier • F. P. Casale
REECAP: Contrastive learning of retinal aging reveals genetic loci linking morphology to eye disease.
Preprint (Nov. 2025). DOI

[301]

N. Stolt-Ansó • M. Dannecker • S. Jia • J. McGinnis • D. Rückert
NISF++: Geometrically-grounded implicit representations of 3D+time cardiac function from 2D short- and long-axis MR views.
Preprint (Nov. 2025). URL

[300]

A. Varma • J. Weidner • L. Lux • C. I. Bercea • M. Mühlau • J. Kirschke • B. Wiestler • D. Rückert
SegMaST: Mamba-based Spatio-Temporal Modeling to Improve Longitudinal Detection and Segmentation.
Preprint (Nov. 2025). URL

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Y. Wally • J. Liu • E. Wetzer • P. J. Schüffler
CLEAR-WSI: Foundation Model Empowered Whole Slide Image Retrieval.
Preprint (Nov. 2025). URL GitHub

[298]

J. Weidner • L. Zimmer • I. Ezhov • M. Balcerak • B. Menze • D. Rückert • B. Wiestler
Brain Tumor Growth Inversion via Differentiable Neural Surrogates.
Preprint (Nov. 2025). URL

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M. Wohlrapp • N. Bubeck • D. Rückert • W. Lotter
Evaluating the Impact of Medical Image Reconstruction on Downstream AI Fairness and Performance.
Preprint (Nov. 2025). URL

[296]

P. Zhao • H. Li • R. Jin • S. K. Zhou
LoCo: Training-Free Layout-to-Image Synthesis with Localized Constraints.
MM 2025 - 33rd ACM International Conference on Multimedia. Dublin, Ireland, Oct 27-31, 2025. DOI

[295]

V. B. Yesilkaynak • V. G. Duque • M. Wysocki • M. F. Azampour • N. Navab • D. Mateus
UltraNBA Neural Bundle Adjustment for Pose Refinement in 3D Freehand Ultrasound.
APAH @ICCV 2025 - 1st Workshop on Advanced Perception for Autonomous Healthcare at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI GitHub

[294]

J. Huang • S. R. Vutukur • P. K. Yu • N. Navab • S. Ilic • B. Busam
RayPose: Ray Bundling Diffusion for Template Views in Unseen 6D Object Pose Estimation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI GitHub

[293]

S. Schmidt • J. Koerner • D. Fuchsgruber • S. Gasperini • F. Tombari • S. Günnemann
Prior2Former - Evidential Modeling of Mask Transformers for Assumption-Free Open-World Panoptic Segmentation.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI

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T. N. Wolf • E. Kavak • F. Bongratz • C. Wachinger
SIC: Similarity-Based Interpretable Image Classification with Neural Networks.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI GitHub

[291]

X. You • R. Yang • C. Zhang • Z. Jiang • J. Yang • N. Navab
FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging.
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI

[290]

L. Bastian • M. Rashed • N. Navab • T. Birdal
Forecasting Continuous Non-Conservative Dynamical Systems in SO(3).
ICCV 2025 - IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. Oral Presentation. DOI

[289]

Z. Chen • C. Li • X. Li • D. Huang • Z. Jiang • S. Speidel • X. Chu • K. W. S. Au
Vibration-Based Energy Metric for Restoring Needle Alignment in Autonomous Robotic Ultrasound.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI

[288]

M.-A. Gafencu • R. Shaban • Y. Velikova • M. F. Azampour • N. Navab
Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI

[287]

S. Wang • Q. Cheng • Q. Cheng • W. Zhang • S.-C. Wu • N. Zeller • D. Cremers • N. Navab
VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI

[286]

Y. Zhang • D. Huang • N. Navab • Z. Jiang
Tactile-Guided Robotic Ultrasound: Mapping Preplanned Scan Paths for Intercostal Imaging.
IROS 2025 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Hangzhou, China, Oct 19-25, 2025. DOI

[285]

W. Li • J. Huang • H. Jung • G. Zhai • P. Z. Ramirez • A. Costanzino • F. Tosi • M. Poggi • L. Di Stefano • J.-B. Weibel • D. Antensteiner • M. Vincze • J. He • Y. Wang • K. Zhang • L. Jiao • L. Li • F. Liu • W. Ma • B. Busam
TRICKY 2025 HouseCat6D Object Pose Estimation Challenge with Specular and Transparent Surfaces.
TRICKY @ICCV 2025 - Transparent & Reflective objects In the wild Challenges at the IEEE/CVF International Conference on Computer Vision. Honolulu, Hawai’i, Oct 19-23, 2025. DOI GitHub

[284]

S. Schluessel • B. Mueller • M. Drey • O. Tausendfreund • M. Rippl • L. Deissler • S. Martini • R. Schmidmaier • S. Stoecklein • M. Ingrisch
3D deep learning-based muscle volume quantification from thoracic CT as a surrogate for DXA-Derived appendicular muscle mass in older adults.
Aging Clinical and Experimental Research 37.296. Oct. 2025. DOI

[283]

E. O. Riedel • F. Bongratz • P. T. Zebhauser • M. Mühlau • C. Wachinger • D. M. Hedderich
Febrile Infection-Related Epilepsy Syndrome (FIRES) in a Young Adult: A Case Report Highlighting Advanced Neuroimaging.
Clinical Neuroradiology . Oct. 2025. DOI

[282]

C. Saueressig • C. Delbridge • D. Scholz • A. Kazemi • M. Z. Khan • M. Metz • B. Meyer • M. Mitsdoerffer • P. J. Schüffler • B. Wiestler
From histology to diagnosis: Leveraging pathology foundation models for glioma classification.
Computers in Biology and Medicine 197.Part A. Oct. 2025. DOI

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Y. Bi • L. Huang • R. Clarenbach • R. Ghotbi • A. Karlas • N. Navab • Z. Jiang
Synomaly noise and multi-stage diffusion: A novel approach for unsupervised anomaly detection in medical images.
Medical Image Analysis 105.103737. Oct. 2025. DOI GitHub

[280]

P. Cara • K. Zaripova • D. Bani-Harouni • N. Navab • A. Farshad
Knowledge Graph Sparsification for GNN-based Rare Disease Diagnosis.
Preprint (Oct. 2025). arXiv

[279]

A. C. Erdur • D. Scholz • J. A. Buchner • D. Bernhardt • S. E. Combs • B. Wiestler • D. Rückert • J. C. Peeken
Independent Benchmarking of Prompt-Based Medical Segmentation Models.
Preprint (Oct. 2025). DOI

[278]

S. M. Fischer • J. Kiechle • L. Daza • L. Felsner • R. Osuala • D. M. Lang • K. Lekadir • J. C. Peeken • J. A. Schnabel
Progressive Growing of Patch Size: Curriculum Learning for Accelerated and Improved Medical Image Segmentation.
Preprint (Oct. 2025). arXiv

[277]

K. Li • M. Niemeyer • S. Wang • S. Gasperini • N. Navab • F. Tombari
SING3R-SLAM: Submap-based Indoor Monocular Gaussian SLAM with 3D Reconstruction Priors.
Preprint (Oct. 2025). arXiv

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Y. Li • R. Buchert • B. Schmitz-Koep • T. Grimmer • B. Ommer • D. M. Hedderich • I. Yakushev • C. Wachinger
Diffusion Bridge Networks Simulate Clinical-grade PET from MRI for Dementia Diagnostics.
Preprint (Oct. 2025). arXiv GitHub

[275]

V. Sideri-Lampretsa • D. Rückert • H. Qiu
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off.
BRIDGE @MICCAI 2025 - Workshop on Bridging Regulatory Science and Medical AI at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[274]

V. Biller • L. Zimmer • A. C. Erdur • S. Nagar • D. Rückert • N. Bubeck • J. Weidner
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
BraTS-Lighthouse @MICCAI 2025 - BraTS-Lighthouse Challenge at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[273]

J. Weidner • I. Ezhov • M. Balcerak • A. Datchev • L. Zimmer • D. Rückert • B. Menze • B. Wiestler
From Fiber Tracts to Tumor Spread: Biophysical Modeling of Butterfly Glioma Growth Using Diffusion Tensor Imaging.
CDMRI @MICCAI 2025 - Workshop on Computational Diffusion MRI at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[272]

B. Zhang • A. Saad • H. Schunkert • N. Navab
Automated Constraint-Aware X-ray View Planning for Vascular Interventions Using Preoperative CTA.
CLIP @MICCAI 2025 - 14th International Workshop on Clinical Image-Based Procedures at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[271]

M. Hartenberger • H. Ayaz • F. Ozlugedik • C. Caredda • L. Giannoni • F. Lange • L. Lux • J. Weidner • A. Berger • F. Kofler • M. J. Menten • B. Montcel • I. Tachtsidis • D. Rückert • I. Ezhov
Redefining spectral unmixing for in-vivo brain tissue analysis from hyperspectral imaging.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[270]

J. Weidner • M. Balcerak • I. Ezhov • A. Datchev • L. Lux • L. Zimmer • D. Rückert • B. Menze • B. Wiestler
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[269]

Ç. Köksal • Y. Yeganeh • N. Navab • A. Farshad
Semantic Scene Editing for Cholecystectomy Surgery.
COLAS @MICCAI 2025 - Workshop on Collaborative Intelligence and Autonomy in Image-guided Surgery at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[268]

T. D. Wang • T. Czempiel • N. Navab • L. Bastian
Mitigating Biases in Surgical Operating Rooms with Geometry.
COLAS @MICCAI 2025 - Workshop on Collaborative Intelligence and Autonomy in Image-guided Surgery at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. arXiv URL

[267]

T. D. Wang • C. Heiliger • N. Navab • L. Bastian
TrackOR: Towards Personalized Intelligent Operating Rooms Through Robust Tracking.
COLAS @MICCAI 2025 - Workshop on Collaborative Intelligence and Autonomy in Image-guided Surgery at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[266]

Y. Yeganeh • N. Navab • A. Farshad
MoViS: Motion-guided Video Generation for Laparoscopic Surgery.
CREATE @MICCAI 2025 - Workshop on Clinical-Driven Robotics and Embodied AI Technology at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI URL

[265]

N. Bubeck • Y. Zhang • S. Shit • D. Rückert • J. Pan
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
DGM4 @MICCAI 2025 - 5th Deep Generative Models Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[264]

J. Janelidze • L. Folle • N. Navab • M. F. Azampour
Tubular Anatomy-Aware 3D Semantically Conditioned Image Synthesis.
DGM4 @MICCAI 2025 - 5th Deep Generative Models Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[263]

J. Dexl • M. Ingrisch
Multi-Task Deep Learning for Head and Neck Cancer: Segmentation, Survival Prediction, and HPV Classification in the HECKTOR 2025 Challenge.
HECKTOR @MICCAI 2025 - 4th Head and Neck Cancer Tumor Lesion Segmentation, Diagnosis and Prognosis Challenge at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. URL GitHub

[262]

M. Knolle • M. J. Menten • D. Rückert • G. Kaissis • B.
Memorisation Bias: AI Predictions for Data Contributors Are Biased Towards Their Health States in the Training Data.
LMID @MICCAI 2025 - Workshop on Learning with Longitudinal Medical Images and Data at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[261]

D. Biagini • N. Navab • A. Farshad
HieraSurg: Hierarchy-Aware Diffusion Model for Surgical Video Generation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[260]

F. Bongratz • T. N. Wolf • J. G. Ramon • C. Wachinger
X-SiT: Inherently Interpretable Surface Vision Transformers for Dementia Diagnosis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[259]

M. Dannecker • D. Rückert
Predicting Longitudinal Brain Development via Implicit Neural Representations.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[258]

F. Dülmer • M. F. Azampour • M. Wysocki • N. Navab
UltraRay: Introducing Full-Path Ray Tracing in Physics-Based Ultrasound Simulation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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S. Herz • M. Wysocki • F. Tristram • J. Hickler • L. Neary-Zajiczek • C. Hennersperger • N. Navab • S. Wörz
ICE-PoGO: Improving Dynamic Panoramic Reconstruction of 4D ICE Imaging through Pose Graph Optimization.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[256]

F. Holm • G. Ünver • G. Ghazaei • N. Navab
CAT-SG: A Large Dynamic Scene Graph Dataset for Fine-Grained Understanding of Cataract Surgery.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[255]

J. Jang • H. J. Lee • N. Navab • S. T. Kim
PRADA: Protecting and Detecting Dataset Abuse for Open-Source Medical Dataset.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[254]

S. Joutard • M. Stollenga • M. B. Sanchez • M. F. Azampour • R. Prevost
HyperSORT: Self-Organising Robust Training with hyper-networks.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[253]

D. M. Lang • R. Osuala • V. Spieker • K. Lekadir • R. Braren • J. A. Schnabel
Temporal Neural Cellular Automata: Application to modeling of contrast enhancement in breast MRI.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[252]

X. Li • D. Huang • Y. Zhang • N. Navab • Z. Jiang
Semantic Scene Graph for Ultrasound Image Explanation and Scanning Guidance.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[251]

J. Liu • H. Li • C. Yang • M. Deutges • A. Sadafi • X. You • K. Breininger • N. Navab • P. J. Schüffler
HASD: Hierarchical Adaption for pathology Slide-level Domain-shift.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[250]

D. Scholz • A. C. Erdur • V. Ehm • A. Meyer-Baese • J. C. Peeken • D. Rückert • B. Wiestler
MM-DINOv2: Adapting Foundation Models for Multi-Modal Medical Image Analysis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[249]

D. Scholz • A. C. Erdur • R. Holland • V. Ehm • J. C. Peeken • B. Wiestler • D. Rückert
Contrastive Anatomy-Contrast Disentanglement: A Domain-General MRI Harmonization Method.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[248]

A. Selivanov • P. Müller • Ö. Turgut • N. Stolt-Ansó • D. Rückert
Global and Local Contrastive Learning for Joint Representations from Cardiac MRI and ECG.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[247]

T. Song • F. Li • Y. Bi • A. Karlas • A. Yousefi • D. Branzan • Z. Jiang • U. Eck • N. Navab
Intelligent Virtual Sonographer (IVS): Enhancing Physician-Robot-Patient Communication.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[246]

T. Susetzky • H. Qiu1 • R. Braren • D. Rückert
A Holistic Time-Aware Classification Model for Multimodal Longitudinal Patient Data.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[245]

C. K. Wong • A. N. Christensen • C. I. Bercea • J. A. Schnabel • M. G. Tolsgaard • A. Feragen
Influence of Classification Task and Distribution Shift Type on OOD Detection in Fetal Ultrasound.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[244]

M. Wysocki • F. Dülmer • A. Bal • N. Navab • M. F. Azampour
UltrON: Ultrasound Occupancy Networks.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[243]

Z. Xu • H. Li • D. Sun • Z. Li • Y. Li • Q. Kong • Z. Cheng • N. Navab • S. K. Zhou
NeRF-based CBCT Reconstruction needs Normalization and Initialization.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[242]

Y. Yeganeh • M. Frantzen • M. Lee • K. Hsing-Yu • N. Navab • A. Farshad
DeepAf: One-Shot Spatiospectral Auto-Focus Model for Digital Pathology.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[241]

X. You • M. Zhang • H. Zhang • J. Yang • N. Navab
Temporal Differential Fields for 4D Motion Modeling via Image-to-Video Synthesis.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[240]

K. Yuan • T. Chen • S. Li • J. L. Lavanchy • C. Heiliger • E. Özsoy • Y. Huang • L. Bai • N. Navab • V. Srivastav • H. Ren • N. Padoy
Recognizing Surgical Phases Anywhere: Few-Shot Test-time Adaptation and Task-graph Guided Refinement.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

[239]

B. Zhang • C. Jia • S. Liu • H. Schunkert • N. Navab
Semantic-Aware Chest X-ray Report Generation with Domain-Specific Lexicon and Diversity-Controlled Retrieval.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[238]

Y. Zhou • Y. Bi • W. Tong • W. Wang • N. Navab • Z. Jiang
UltraAD: Fine-Grained Ultrasound Anomaly Classification via Few-Shot CLIP Adaptation.
MICCAI 2025 - 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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A. C. Erdur • C. Beischl • D. Scholz • J. Pan • B. Wiestler • D. Rückert • J. C. Peeken
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
MLMI @MICCAI 2025 - 16th International Workshop on Machine Learning in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub

[236]

C. Yang • M. Deutges • J. Liu • H. Li • N. Navab • C. Marr • A. Sadafi
Attention Pooling Enhances NCA-based Classification of Microscopy Images.
MLMI @MICCAI 2025 - 16th International Workshop on Machine Learning in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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H. Maier • S. Faghihroohi • P. Steininger • F. Wirth • A. Karlas • N. Navab
A Study in Scatter: Investigating Low-Contrast Image Contents Outside the X-Ray Collimation.
MSB EMERGE @MICCAI 2025 - 2nd MICCAI Student Board Emerge Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. URL

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S. J. Roughley • J. P. Müller • S. Gao • Z. Gao • M. Ligero • R. Blums • M. Crispin-Ortuzar • J. A. Schnabel • B. Kainz • C. I. Bercea • I. P. Machado
GroundingDINO for Open-Set Lesion Detection in Medical Imaging.
MSB EMERGE @MICCAI 2025 - 2nd MICCAI Student Board Emerge Workshop at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. URL

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B. Bulut • M. Dannecker • T. Sanchez • S. N. Silva • V. Zalevskyi • S. Jia • J.-B. Ledoux • G. Auzias • F. Rousseau • J. Hutter • D. Rückert • M. Bach Cuadra
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
PIPPI @MICCAI 2025 - 10th Workshop on Perinatal, Preterm and Paediatric Image Analysis at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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N. Niessen • C. M. Pirkl • A. B. Solana • H. Eichhorn • V. Spieker • W. Huang • T. Sprenger • M. I. Menzel • J. A. Schnabel
INR meets Multi-Contrast MRI Reconstruction.
RIME @MICCAI 2025 - 1st Workshop on Reconstruction and Imaging Motion Estimation at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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A. F. Dima • S. Shit • H. Qiu • R. Holland • T. T. Mueller • F. Musio • K. Yang • B. Menze • R. Braren • M. R. Makowski • D. Rückert
Parametric shape models for vessels learned from segmentations via differentiable voxelization.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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M.-A. Gafencu • Y. Velikova • N. Navab • M. F. Azampour
US-X Complete: A Multi-Modal Approach to Anatomical 3D Shape Recovery.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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P. Madlindl • F. Bongratz • C. Wachinger
Template-Based Cortical Surface Reconstruction with Minimal Energy Deformation.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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I. Stoyanov • F. Bongratz • C. Wachinger
Spherical Brownian Bridge Diffusion Models for Conditional Cortical Thickness Forecasting.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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J. Suk • J. J. Wentzel • P. Rygiel • J. Daemen • D. Rückert • J. M. Wolterink
GReAT: leveraging geometric artery data to improve wall shear stress assessment.
ShapeMI @MICCAI 2025 - Workshop on Shape in Medical Imaging at the 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI

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F. Dülmer • M. F. Azampour • N. Navab
UltraScatter: Ray-Based Simulation of Ultrasound Scattering.
IUS 2025 - 62nd IEEE International Ultrasonics Symposium. Utrecht, Netherlands, Sep 15-18, 2025. DOI

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CAPO: Cost-Aware Prompt Optimization.
Methods Track @AutoML 2025 - Methods Track at the International Conference on Automated Machine Learning. New York City, NY, USA, Sep 08-11, 2025. URL

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IEEE Transactions on Multimedia Early Access. Sep. 2025. DOI

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Medical Image Analysis In press.Journal Pre-proof. Sep. 2025. DOI

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NeuroImage 318.121395. Sep. 2025. DOI

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Does DINOv3 Set a New Medical Vision Standard?
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IEEE Access. Aug. 2025. DOI

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IEEE Transactions on Medical Imaging Early Access. Aug. 2025. DOI

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Magnetic Resonance in Medicine 95.1. Aug. 2025. DOI

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Medical Physics 52.8. Aug. 2025. DOI

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npj Digital Medicine 8.532. Aug. 2025. DOI

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GALA: Guided Attention with Language Alignment for Open Vocabulary Gaussian Splatting.
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Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
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MIDL 2025 - Medical Imaging with Deep Learning. Salt Lake City, UT, USA, Jul 09-11, 2025. URL

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RaDialog: Large Vision-Language Models for X-Ray Reporting and Dialog-Driven Assistance.
MIDL 2025 - Medical Imaging with Deep Learning. Salt Lake City, UT, USA, Jul 09-11, 2025. URL GitHub

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ICVSS 2025 - International Computer Vision Summer School: Computer Vision for Spatial Intelligence. Sicily, Italy, Jul 06-12, 2025. arXiv GitHub

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SGP 2025 - Symposium on Geometry Processing. Bilbao, Spain, Jun 30-Jul 04, 2025. DOI GitHub

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Robotic CBCT Meets Robotic Ultrasound.
IPCAI 2025 - 16th International Conference on Information Processing in Computer-Assisted Interventions. Berlin, Germany, Jun 17-18, 2025. DOI

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L. Bastian • M. Rashed • N. Navab • T. Birdal
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4DVision @CVPR 2025 - Workshop on 4D Vision: Modeling the Dynamic World at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. arXiv

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MM-OR: A Large Multimodal Operating Room Dataset for Semantic Understanding of High-Intensity Surgical Environments.
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CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. Highlight Paper. DOI

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MULA @CVPR 2025 - 8th Multimodal Learning and Applications Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI

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PAKDD 2025 - 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Sydney, Australia, Jun 10-13, 2025. DOI GitHub

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J. Kaiser • J. Eigenmann • D. Rückert • G. Kaissis
User-Level Differential Privacy in Medical Machine Learning.
TPDP 2025 - Workshop on Theory and Practice of Differential Privacy. Google, Mountain View, CA, USA, Jun 02-03, 2025. PDF

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Frontiers in Psychiatry 16. Jun. 2025. DOI

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VoxNeRF: Bridging Voxel Representation and Neural Radiance Fields for Enhanced Indoor View Synthesis.
IEEE Robotics and Automation Letters 10.6. Jun. 2025. DOI

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Journal of Imaging Informatics in Medicine. Jun. 2025. DOI

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XYZ-IBD: High-precision Bin-picking Dataset for Object 6D Pose Estimation Capturing Real-world Industrial Complexity.
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IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

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IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI GitHub

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IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

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IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI

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ICRA 2025 - IEEE International Conference on Robotics and Automation. Atlanta, GA, USA, May 19-23, 2025. DOI

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ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub

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ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

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ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

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ISBI 2025 - IEEE 22nd International Symposium on Biomedical Imaging. Houston, TX, USA, Apr 14-17, 2025. DOI

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Differentially Private Active Learning: Balancing Effective Data Selection and Privacy.
SaTML 2025 - IEEE Conference on Secure and Trustworthy Machine Learning. Copenhagen, Denmark, Apr 09-11, 2025. DOI

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European Journal of Radiology 185.112009. Apr. 2025. DOI

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IEEE Robotics and Automation Letters 10.4. Apr. 2025. DOI

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TTAPose: Test-time Adaptation for Unseen Object Pose Estimation.
IEEE Robotics and Automation Letters 10.6. Apr. 2025. DOI

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IEEE Transactions on Medical Imaging Early Access. Apr. 2025. DOI

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Medical Image Analysis 101.103478. Apr. 2025. DOI GitHub

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Surgical Flow Masked Autoencoder for Event Recognition.
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IROS 2024 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Abu Dhabi, United Arab Emirates, Oct 14-18, 2024. DOI

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CLIP @MICCAI 2024 - 13th International Workshop on Clinical Image-Based Procedures at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. CLIP @MICCAI 2024 Best Paper Award. DOI

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Deep-Breath @MICCAI 2024 - 1st Deep Breast Workshop on AI and Imaging for Diagnostic and Treatment Challenges in Breast Care at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub

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GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

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Exploring Graphs as Data Representation for Disease Classification in Ophthalmology.
GRAIL @MICCAI 2024 - 6th Workshop on GRaphs in biomedicAl Image anaLysis at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL

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SANGRIA: Surgical Video Scene Graph Optimization for Surgical Workflow Prediction.
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MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI

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ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

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MIDL 2024 - Medical Imaging with Deep Learning. Paris, France, Jul 03-05, 2024. URL

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CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

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M. Ghahremani • M. Khateri • B. Jian • B. Wiestler • E. Adeli • C. Wachinger
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[79]

J. Huang • H. Yu • K.-T. Yu • N. Navab • S. Ilic • B. Busam
MatchU: Matching Unseen Objects for 6D Pose Estimation from RGB-D Images.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[78]

H. Jung • S.-C. Wu • P. Ruhkamp • G. Zhai • H. Schieber • G. Rizzoli • P. Wang • H. Zhao • L. Garattoni • D. Roth • S. Meier • N. Navab • B. Busam
HouseCat6D -- A Large-Scale Multi-Modal Category Level 6D Object Perception Dataset with Household Objects in Realistic Scenarios.
CVPR 2024 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[77]

S. M. Fischer • J. Kiechle • D. M. Lang • J. C. Peeken • J. A. Schnabel
Mask the Unknown: Assessing Different Strategies to Handle Weak Annotations in the MICCAI2023 Mediastinal Lymph Node Quantification Challenge.
Machine Learning for Biomedical Imaging 2. Jun. 2024. DOI GitHub

[76]

R. Wicklein • L. Kreitner • A. Wild • L. Aly • D. Rückert • B. Hemmer • T. Korn • M. J. Menten • B. Knier
Retinal small vessel pathology is associated with disease burden in multiple sclerosis.
Multiple Sclerosis Journal 30.7. Jun. 2024. DOI

[75]

A. Ziller • T. T. Mueller • S. Stieger • L. F. Feiner • J. Brandt • R. Braren • D. Rückert • G. Kaissis
Reconciling privacy and accuracy in AI for medical imaging.
Nature Machine Intelligence 6. Jun. 2024. DOI

[74]

J. Kiechle • S. M. Fischer • D. M. Lang • M. Folco • S. C. Foreman • V. K. N. Rösner • A.-K. Lohse • C. Mogler • C. Knebel • M. R. Makowski • K. Woertler • S. E. Combs • A. S. Gersing • J. C. Peeken • J. A. Schnabel
Unifying local and global shape descriptors to grade soft-tissue sarcomas using graph convolutional networks.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[73]

N. Stolt-Ansó • V. Sideri-Lampretsa • M. Dannecker • D. Rückert
Intensity-based 3D motion correction for cardiac MR images.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[72]

Y. Zhang • N. Stolt-Ansó • J. Pan • W. Huang • K. Hammernik • D. Rückert
Direct Cardiac Segmentation from Undersampled K-Space using Transformers.
ISBI 2024 - IEEE 21st International Symposium on Biomedical Imaging. Athens, Greece, May 27-30, 2024. DOI

[71]

Y. Velikova • M. F. Azampour • W. Simson • M. Esposito • N. Navab
Implicit Neural Representations for Breathing-compensated Volume Reconstruction in Robotic Ultrasound Aorta Screening.
ICRA 2024 - IEEE International Conference on Robotics and Automation. Yokohoma, Japan, May 13-17, 2024. DOI

[70]

R. Klaar • M. Rabe • A. T. Stüber • S. Corradini • C. Eze • C. Belka • G. Landry • C. Kurz • J. Dinkel
Using Ventilation and Perfusion MRI at a 0.35 T MR-Linac to Predict Radiation-Induced Pneumonitis in Lung Cancer Patients.
ISMRM 2024 - International Society for Magnetic Resonance in Medicine Annual Meeting. Singapore, May 04-09, 2024. URL

[69]

Y. Zhang • N. Stolt-Ansó • J. Pan • W. Huang • K. Hammernik • D. Rückert
Reconstruction-free segmentation from undersampled k-space using transformers.
ISMRM 2024 - International Society for Magnetic Resonance in Medicine Annual Meeting. Singapore, May 04-09, 2024. URL

[68]

J. Kiechle • S. C. Foreman • S. M. Fischer • D. Rusche • V. Rösner • A.-K. Lohse • C. Mogler • S. E. Combs • M. R. Makowski • K. Woertler • D. M. Lang • J. A. Schnabel • A. S. Gersing • J. C. Peeken
Investigating the role of morphology in deep learning-based liposarcoma grading.
ESTRO 2024 - Annual Meeting of the European Society for Radiotherapy and Oncology. Glasgow, UK, May 03-07, 2024. URL

[67]

A. Kazemi • A. Rasouli-Saravani • M. Gharib • T. Albuquerque • S. Eslami • P. J. Schüffler
A systematic review of machine learning-based tumor-infiltrating lymphocytes analysis in colorectal cancer: Overview of techniques, performance metrics, and clinical outcomes.
Computers in Biology and Medicine 173. May. 2024. DOI

[66]

K. Jeblick • B. Schachtner • J. Dexl • A. Mittermeier • A. T. Stüber • J. Topalis • T. Weber • P. Wesp • B. O. Sabel • J. Ricke • M. Ingrisch
ChatGPT makes medicine easy to swallow: an exploratory case study on simplified radiology reports.
European Radiology 34. May. 2024. DOI

[65]

V. G. Duque • A. Marquardt • Y. Velikova • L. Lacourpaille • A. Nordez • M. Crouzier • H. J. Lee • D. Mateus • N. Navab
Ultrasound segmentation analysis via distinct and completed anatomical bordersd.
International Journal of Computer Assisted Radiology and Surgery 19. May. 2024. DOI

[64]

M.-A. Gafencu • Y. Velikova • M. Saleh • T. Ungi • N. Navab • T. Wendler • M. F. Azampour
Shape completion in the dark: completing vertebrae morphology from 3D ultrasound.
International Journal of Computer Assisted Radiology and Surgery 19. May. 2024. DOI

[63]

P. Wesp
Application of machine learning in CT colonography and radiological age assessment: enhancing traditional diagnostics in radiology.
Dissertation LMU München. Mar. 2024. DOI

[62]

S. T. Arasteh • A. Ziller • C. Kuhl • M. Makowski • S. Nebelung • R. Braren • D. Rückert • D. Truhn • G. Kaissis
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging.
Communications Medicine 4.46. Mar. 2024. DOI

[61]

P. J. Schüffler • K. Steiger • C. Mogler
Künstliche Intelligenz in der Pathologie – wie, wo und warum?
Die Pathologie. Mar. 2024. DOI

[60]

C. Wachinger • D. M. Hedderich • F. Bongratz
Stochastic Cortical Self-Reconstruction.
Preprint (Mar. 2024). arXiv

[59]

T. N. Wolf • F. Bongratz • A.-M. Rickmann • S. Pölsterl • C. Wachinger
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning.
AAAI 2024 - 38th Conference on Artificial Intelligence. Vancouver, Canada, Feb 20-27, 2024. DOI

[58]

A. Portafaix • P. Reidler • B. Sabel • J. Dexl • K. Jeblick • A. Mittermeier • M. Ingrisch • T. Fevens
Computer vision-based guidance tool for correct radiographic hand positioning.
SPIE 2024 - SPIE Medical Imaging: Image Perception, Observer Performance, and Technology Assessment. San Diego, CA, USA, Feb 18-22, 2024. DOI

[57]

K. Geißler • A. Ambroladze • N. Papenberg • T. L. Koller • H. Amer • E. M. Fallenberg • S. A. Kurt • M. Ingrisch • H. K. Hahn
Deformable current-prior registration of DCE breast MR images on multi-site data.
SPIE 2024 - SPIE Medical Imaging: Image Processing. San Diego, CA, USA, Feb 18-22, 2024. DOI

[56]

A. Reithmeir • J. A. Schnabel • V. A. Zimmer
Learning physics-inspired regularization for medical image registration with hypernetworks.
SPIE 2024 - SPIE Medical Imaging: Image Processing. San Diego, CA, USA, Feb 18-22, 2024. DOI GitHub

[55]

A. Farshad
Learning to Learn Neural Representations with Limited Data and Supervision.
Dissertation TU München. Feb. 2024. URL

[54]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction.
WACV 2024 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2024. DOI

[53]

L. Kreitner • J. C. Paetzold • N. Rauch • C. Chen • A. M. Hagag • A. E. Fayed • S. Sivaprasad • S. Rausch • J. Weichsel • B. H. Menze • M. Harders • B. Knier • D. Rückert • M. J. Menten
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Transactions on Medical Imaging 43.6. Jan. 2024. DOI

[52]

P. Wesp • B. Schachtner • K. Jeblick • J. Topalis • M. Weber • F. Fischer • R. Penning • J. Ricke • M. Ingrisch • B. O. Sabel
Radiological age assessment based on clavicle ossification in CT: enhanced accuracy through deep learning.
International Journal of Legal Medicine. Jan. 2024. DOI

[51]

F. Bongratz • A.-M. Rickmann • C. Wachinger
Neural deformation fields for template-based reconstruction of cortical surfaces from MRI.
Medical Image Analysis 93. Jan. 2024. DOI

[50]

D. Zhu • Q. Khan • D. Cremers
Multi-vehicle trajectory prediction and control at intersections using state and intention information.
Neurocomputing 574. Jan. 2024. DOI GitHub

[49]

M. Ghahremani • C. Wachinger
RegBN: Batch Normalization of Multimodal Data with Regularization.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. DOI GitHub

[48]

G. Kaissis • A. Ziller • S. Kolek • A. Riess • D. Rückert
Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. DOI

[47]

G. Zhai • E. P. Örnek • S.-C. Wu • Y. Di • F. Tombari • N. Navab • B. Busam
CommonScenes: Generating Commonsense 3D Indoor Scenes with Scene Graph Diffusion.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. DOI

[46]

M. F. Azampour • Y. Velikova • E. Fatemizadeh • S. P. Dakua • N. Navab
Self-supervised Probe Pose Regression via Optimized Ultrasound Representations for US-CT Fusion.
MICAD 2023 - International Conference on Medical Imaging and Computer-Aided Diagnosis. Cambridge, UK, Dec 09-10, 2023. DOI GitHub

[45]

A. T. Stüber • S. Coors • B. Schachtner • T. Weber • D. Rügamer • A. Bender • A. Mittermeier • O. Öcal • M. Seidensticker • J. Ricke • B. Bischl • M. Ingrisch
A comprehensive machine learning benchmark study for radiomics-based survival analysis of CT imaging data in patients with hepatic metastases of CRC.
Investigative Radiology 58.12. Dec. 2023. DOI

[44]

C. Wachinger • T. N. Wolf • S. Pölsterl
Deep learning for the prediction of type 2 diabetes mellitus from neck-to-knee Dixon MRI in the UK biobank.
Heliyon 9.11. Nov. 2023. DOI

[43]

R. Raab • A. Küderle • A. Zakreuskaya • A. D. Stern • J. Klucken • G. Kaissis • D. Rückert • S. Boll • R. Eils • H. Wagener • B. M. Eskofier
Federated electronic health records for the European Health Data Space.
The Lancet Digital Healths 5.11. Nov. 2023. DOI

[42]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings.
Preprint (Nov. 2023). arXiv

[41]

D. Scholz • B. Wiestler • D. Rückert • M. J. Menten
Metrics to Quantify Global Consistency in Synthetic Medical Images.
DGM4 @MICCAI 2023 - 3rd International Workshop on Deep Generative Models at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[40]

V. A. Zimmer • K. Hammernik • V. Sideri-Lampretsa • W. Huang • A. Reithmeir • D. Rückert • J. A. Schnabel
Towards Generalised Neural Implicit Representations for Image Registration.
DGM4 @MICCAI 2023 - 3rd International Workshop on Deep Generative Models at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[39]

Y. Yeganeh • A. Farshad • G. Guevercin • A. Abu-zer • R. Xiao • Y. Tang • E. Adeli • N. Navab
SCOPE: Structural Continuity Preservation for Medical Image Segmentation.
GRAIL @MICCAI 2023 - 5th Workshop on GRaphs in biomedicAl Image anaLysis at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[38]

Y. Yeganeh • G. Güvercin • R. Xiao • A. Abuzer • E. Adeli • A. Farshad • N. Navab
SCOPE: Structural Continuity Preservation for Retinal Vessel Segmentation.
GRAIL @MICCAI 2023 - 5th Workshop on GRaphs in biomedicAl Image anaLysis at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[37]

R. Holland • O. Leingang • C. Holmes • P. Anders • R. Kaye • S. Riedl • J. C. Paetzold • I. Ezhov • H. Bogunović • U. Schmidt-Erfurth • H. P. N. Scholl • S. Sivaprasad • A. J. Lotery • D. Rückert • M. J. Menten
Clustering Disease Trajectories in Contrastive Feature Space for Biomarker Proposal in Age-Related Macular Degeneration.
MICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[36]

N. Stolt-Ansó • J. McGinnis • J. Pan • K. Hammernik • D. Rückert
NISF: Neural implicit segmentation functions.
MICCAI 2023 - 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI

[35]

Y. Yeganeh • A. Farshad • N. Navab
Anatomy-Aware Masking for Inpainting in Medical Imaging.
ShapeMI @MICCAI 2023 - 3rd Workshop on Shape in Medical Imaging at the 26th International Conference on Medical Image Computing and Computer Assisted Intervention. Vancouver, Canada, Oct 08-12, 2023. DOI GitHub

[34]

M. J. Menten • J. C. Paetzold • V. A. Zimmer • S. Shit • I. Ezhov • R. Holland • M. Probst • J. A. Schnabel • D. Rückert
A Skeletonization Algorithm for Gradient-Based Optimization.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[33]

A. Farshad • Y. Yeganeh • Y. Chi • C. Shen • B. Ommer • N. Navab
Scenegenie: Scene graph guided diffusion models for image synthesis.
Workshop @ICCV 2023 - Workshop at the IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[32]

Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
Transformers pay attention to convolutions leveraging emerging properties of vits by dual attention-image network.
Workshop @ICCV 2023 - Workshop at the IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI

[31]

F. Bongratz • A.-M. Rickmann • C. Wachinger
Abdominal organ segmentation via deep diffeomorphic mesh deformations.
Scientific Reports 13.1. Oct. 2023. DOI

[30]

A. Khakzar
Rethinking Feature Attribution for Neural Network Explanation.
Dissertation TU München. Aug. 2023. URL

[29]

A. T. Stüber • S. Coors • M. Ingrisch
Revitalize the Potential of Radiomics: Interpretation and Feature Stability in Medical Imaging Analyses through Groupwise Feature Importance.
LB-D-DC 2023 @xAI 2023 - Late-breaking Work, Demos and Doctoral Consortium at the 1st World Conference on eXplainable Artificial Intelligence. Lisbon, Portugal, Jul 26-28, 2023. PDF

[28]

A. Farshad
Representation learning for semantic scene understanding.
HHAI 2023 - 2nd International Conference on Hybrid Human-Artificial Intelligence. Munich, Germany, Jun 26-30, 2023. DOI

[27]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Cascaded Latent Diffusion Models for High-Resolution Chest X-ray Synthesis.
PAKDD 2023 - 27th Pacific-Asia Conference on Knowledge Discovery and Data Mining. Osaka, Japan, May 25-28, 2023. DOI

[26]

A. Mittermeier
Robust evaluation of contrast-enhanced imaging for perfusion quantification.
Dissertation LMU München. May. 2023. DOI

[25]

Y. Yeganeh • A. Farshad • P. Weinberger • S.-A. Ahmadi • E. Adeli • N. Navab
DIAMANT: Dual Image-Attention Map Encoders For Medical Image Segmentation.
Preprint (Apr. 2023). arXiv

[24]

W. Simson
Physics-Informed Deep Learning for Advanced Medical Ultrasound.
Dissertation TU München. Nov. 2022. URL

[23]

A. Farshad • Y. Yeganeh • H. Dhamo • F. Tombari • N. Navab
DisPositioNet: Disentangled Pose and Identity in Semantic Image Manipulation.
BMVC 2022 - 33rd British Machine Vision Conference. London, UK, Nov 21-24, 2022. URL GitHub

[22]

S. Shit • R. Koner • B. Wittmann • J. C. Paetzold • I. Ezhov • H. Li • J. Pan • S. Sharifzadeh • G. Kaissis • V. Tresp • B. Menze
Relationformer: A Unified Framework for Image-to-Graph Generation.
ECCV 2022 - 17th European Conference on Computer Vision. Tel Aviv, Israel, Oct 23-27, 2022. DOI GitHub

[21]

A. Farshad • A. Makarevich • V. Belagiannis • N. Navab
MetaMedSeg: Volumetric Meta-learning for Few-Shot Organ Segmentation.
DART @MICCAI 2022 - 4th Workshop on Domain Adaptation and Representation Transfer at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[20]

Y. Yeganeh • A. Farshad • J. Boschmann • R. Gaus • M. Frantzen • N. Navab
FedAP: Adaptive Personalization in Federated Learning for Non-IID Data.
DeCaF FAIR @MICCAI 2022 - 3rd Workshop on Distributed, Collaborative, and Federated Learning, and Affordable AI and Healthcare for Resource Diverse Global Health at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI

[19]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Implicit Embeddings via GAN Inversion for High Resolution Chest Radiographs.
MAD @MICCAI 2022 - 1st Workshop on Medical Applications with Disentanglements at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI

[18]

A. Farshad • Y. Yeganeh • P. Gehlbach • N. Navab
Y-Net: A Spatiospectral Dual-Encoder Network for Medical Image Segmentation.
MICCAI 2022 - 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[17]

P. Engstler • M. Keicher • D. Schinz • K. Mach • A. S. Gersing • S. C. Foreman • S. S. Goller • J. Weissinger • J. Rischewski • A.-S. Dietrich • B. Wiestler • J. S. Kirschke • A. Khakzar • N. Navab
Interpretable Vertebral Fracture Diagnosis.
iMIMIC @MICCAI 2022 - Workshop on Interpretability of Machine Intelligence in Medical Image Computing at the 25th International Conference on Medical Image Computing and Computer Assisted Intervention. Singapore, Sep 18-22, 2022. DOI GitHub

[16]

A. Khakzar • Y. Li • Y. Zhang • M. Sanisoglu • S. T. Kim • M. Rezaei • B. Bischl • N. Navab
Analyzing the Effects of Handling Data Imbalance on Learned Features from Medical Images by Looking Into the Models.
IMLH @ICML 2022 - 2nd Workshop on Interpretable Machine Learning in Healthcare at the 39th International Conference on Machine Learning. Baltimore, MD, USA, Jul 17-23, 2022. arXiv

[15]

Y. Yeganeh • A. Farshad • N. Navab
Shape-Aware Masking for Inpainting in Medical Imaging.
Preprint (Jul. 2022). arXiv

[14]

A. Khakzar • P. Khorsandi • R. Nobahari • N. Navab
Do Explanations Explain? Model Knows Best.
CVPR 2022 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. New Orleans, LA, USA, Jun 19-24, 2022. DOI GitHub

[13]

M. Keicher • K. Zaripova • T. Czempiel • K. Mach • A. Khakzar • N. Navab
Few-shot Structured Radiology Report Generation Using Natural Language Prompts.
Preprint (Mar. 2022). arXiv

[12]

T. Weber • M. Ingrisch • M. Fabritius • B. Bischl • D. Rügamer
Survival-oriented embeddings for improving accessibility to complex data structures.
Bridging the Gap: from ML Research to Clinical Practice @NeurIPS 2021 - Workshop on Bridging the Gap: from Machine Learning Research to Clinical Practice at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. arXiv

[11]

T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Towards modelling hazard factors in unstructured data spaces using gradient-based latent interpolation.
Deep Generative Models and Downstream Applications @NeurIPS 2021 - Workshop on Deep Generative Models and Downstream Applications at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

[10]

Y. Zhang • A. Khakzar • Y. Li • A. Farshad • S. T. Kim • N. Navab
Fine-Grained Neural Network Explanation by Identifying Input Features with Predictive Information.
NeurIPS 2021 - Track on Datasets and Benchmarks at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. URL

[9]

A. Farshad • S. Musatian • H. Dhamo • N. Navab
MIGS: Meta Image Generation from Scene Graphs.
BMVC 2021 - 32nd British Machine Vision Conference. Virtual, Nov 22-25, 2021. URL GitHub

[8]

S. Garg • H. Dhamo • A. Farshad • S. Musatian • N. Navab • F. Tombari
Unconditional Scene Graph Generation.
ICCV 2021 - IEEE/CVF International Conference on Computer Vision. Virtual, Oct 11-17, 2021. DOI

[7]

A. Khakzar • S. Musatian • J. Buchberger • I. V. Quiroz • N. Pinger • S. Baselizadeh • S. T. Kim • N. Navab
Towards Semantic Interpretation of Thoracic Disease and COVID-19 Diagnosis Models.
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2021. DOI GitHub

[6]

A. Khakzar • Y. Zhang • W. Mansour • Y. Cai • Y. Li • Y. Zhang • S. T. Kim • N. Navab
Explaining COVID-19 and Thoracic Pathology Model Predictions by Identifying Informative Input Features.
MICCAI 2021 - 24th International Conference on Medical Image Computing and Computer Assisted Intervention. Strasbourg, France, Sep 27-Oct 01, 2021. DOI GitHub

[5]

M. P. Fabritius • M. Seidensticker • J. Rueckel • C. Heinze • M. Pech • K. J. Paprottka • P. M. Paprottka • J. Topalis • A. Bender • J. Ricke • A. Mittermeier • M. Ingrisch
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer.
Journal of Clinical Medicine 10.16. Aug. 2021. DOI

[4]

A. Khakzar • S. Baselizadeh • S. Khanduja • C. Rupprecht • S. T. Kim • N. Navab
Neural Response Interpretation through the Lens of Critical Pathways.
CVPR 2021 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Virtual, Jun 19-25, 2021. DOI

[3]

P. Kopper • S. Pölsterl • C. Wachinger • B. Bischl • A. Bender • D. Rügamer
Semi-Structured Deep Piecewise Exponential Models.
AAAI-SPACA 2021 - AAAI Spring Symposium Series on Survival Prediction: Algorithms, Challenges and Applications. Palo Alto, California, USA, Mar 21-24, 2021. PDF

[2]

S. Denner • A. Khakzar • M. Sajid • M. Saleh • Z. Spiclin • S. T. Kim • N. Navab
Spatio-temporal learning from longitudinal data for multiple sclerosis lesion segmentation.
BrainLes @MICCAI 2020 - Workshop on Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI GitHub

[1]

Y. Yeganeh • A. Farshad • N. Navab • S. Albarqouni
Inverse Distance Aggregation for Federated Learning with Non-IID Data.
DART DCL @MICCAI 2020 - Workshop on Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning at the 23rd International Conference on Medical Image Computing and Computer Assisted Intervention. Virtual, Oct 04-08, 2020. DOI

C2 | Biology

MCML focuses on crucial issues in Biology and Biomedicine, addressing AI challenges such as liability, black-box behavior, and privacy. The goals include advancing personalized healthcare and fostering collaboration between algorithms and human experts. Additionally, MCML aims to be a key training hub for the next generation of AI-empowered professionals in medical and biological fields.

Karsten Borgwardt

Prof. Dr.

Core PI

Machine Learning and Systems Biology

Julien Gagneur

Prof. Dr.

Core PI

Computational Molecular Medicine

Christian Müller

Prof. Dr.

Core PI

Biomedical Statistics and Data Science

Fabian Theis

Prof. Dr.

Core PI

Mathematical Modelling of Biological Systems

Ralf Zimmer

Prof. Dr.

Core PI

Bioinformatics

©all images: LMU | TUM

Publications in Research Area C2

[79]

E. Antipov • A. Palma • L. Consoli • S. Günnemann • A. Dittadi • F. J. Theis
Flow-Based Density Ratio Estimation for Intractable Distributions with Applications in Genomics.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[78]

C. Kolb • C. L. Müller • B. Bischl • D. Rügamer
Smoothing the Edges: Smooth Optimization for Sparse Regularization Using Hadamard Overparametrization.
Machine Learning 115.87. Apr. 2026. DOI

[77]

I. Gold • F. Fischer • L. Arnoldt • F. A. Wolf • F. J. Theis
annbatch unlocks terabyte-scale training of biological data in anndata.
Preprint (Apr. 2026). arXiv GitHub

[76]

R. A. McDonald • H. M. Byrne • H. A. Harrington • T. Thorne • B. J. Stolz
Topological model selection: a case-study in tumour-induced angiogenesis.
Bioinformatics 42.3. Mar. 2026. DOI GitHub

[75]

T. Richter • W. Wang • A. Palma • F. J. Theis
Generative models of cell dynamics: from Neural ODEs to flow matching.
Communications Biology. Jan. 2026. DOI

[74]

F. Drummer • N. Dorosti • C. Hurler • E. Beltrán • L. B. Kümmerle • F. J. Theis • S. Jäkel
Brain Region-Specific Oligodendrocyte States Highlight Mitochondrial Gene Upregulation and Loss of Canonical Identity Signatures in Alzheimer’s Disease.
Preprint (Jan. 2026). DOI

[73]

M. V. Tran • C. L. Müller
Causal Inference Framework for Ocean Microbial Community Responses to Warmer Temperature.
Climate Change AI @NeurIPS 2025 - Workshop on Tackling Climate Change with Machine Learning at the 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. URL

[72]

K. Sakalyan • A. Palma • F. Guerranti • F. J. Theis • S. Günnemann
Modeling Microenvironment Trajectories on Spatial Transcriptomics with NicheFlow.
NeurIPS 2025 - 39th Conference on Neural Information Processing Systems. San Diego, CA, USA, Nov 30-Dec 07, 2025. URL

[71]

Y. Gao • W. Wang • Y. Zhao • K. Dong • C. Shan • W. Zheng • T. Richter • Z. Li • S. Chen • F. J. Theis • Q. Liu
Language may be all omics needs: Harmonizing multimodal data for omics understanding with CellHermes.
Preprint (Nov. 2025). DOI

[70]

P. T. da Silva • A. Karollus • J. Hingerl • G. S. T. Galindez • N. Wagner • X. Hernandez-Alias • D. Incarnato • J. Gagneur
Nucleotide dependency analysis of genomic language models detects functional elements.
Nature Genetics 57. Oct. 2025. DOI

[69]

J. Hingerl • L. D. Martens • A. Karollus • T. Manz • J. D. Buenrostro • F. J. Theis • J. Gagneur
scooby: Modeling multi-modal genomic profiles from DNA sequence at single-cell resolution.
Nature Methods. Oct. 2025. DOI

[68]

M. Bahrami • A. Tejada-Lapuerta • S. Becker • F. S. Hashemi G. • F. J. Theis
scConcept: Contrastive pretraining for technology-agnostic single-cell representations beyond reconstruction.
Preprint (Oct. 2025). DOI

[67]

J. Hingerl • A. Karollus • J. Gagneur
Flashzoi: An enhanced Borzoi for accelerated genomic analysis.
Bioinformatics 41.9. Sep. 2025. DOI

[66]

B. Szathmári • B. Balint • B. Hegedüs • M. Viragh • Z. Hou • X.-B. Liu • H. Wu • C. Földi • J. Gagneur • J. Promeuschel • Á. Csernetics • L. Nagy
Orthrus: a Pumilio-family gene involved in fruiting body and dark stipe development in Coprinopsis cinerea.
Frontiers in Fungal Biology 6. Jul. 2025. DOI

[65]

D. Di Fraia • A. Marino • J. H. Lee • E. Kelmer Sacramento • M. Baumgart • S. Bagnoli • T. Balla • F. Schalk • S. Kamrad • R. Guan • C. Caterino • C. Giannuzzi • P. T. da Silva • A. K. Sahu • H. Gut • G. Siano • M. • E. Terzibasi-Tozzini • E. F. Fornasiero • J. Gagneur • C. Englert • K. R. Patil • C. Correia-Melo • D. D. Nedialkova • J. Frydman • A. Cellerino • A. Ori
Altered translation elongation contributes to key hallmarks of aging in the killifish brain.
Science 389.6759. Jul. 2025. DOI

[64]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning with the Gromov-Monge Gap.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL

[63]

P. T. da Silva • A. Karollus • J. Hingerl • G. Galindez • N. Wagner • X. Hernandez-Alias • D. Incarnato • J. Gagneur
Nucleotide dependency analysis of DNA language models reveals genomic functional elements.
CSHL 2025 - 5th Cold Spring Harbor conference on Probabilistic Modeling in Genomics. Cold Spring Harbor Laboratory, New York, USA, Mar 05-08, 2025. DOI URL

[62]

M. E. Consens • C. Dufault • M. Wainberg • D. Forster • M. Karimzadeh • H. Goodarzi • F. J. Theis • A. Moses • B. Wang
Transformers and genome language models.
Nature Machine Intelligence 7.3. Mar. 2025. DOI

[61]

P. Bertin • J. D. Viviano • A. Tejada-Lapuerta • W. Wang • S. Bauer • F. J. Theis • Y. Bengio
A scalable gene network model of regulatory dynamics in single cells.
Preprint (Mar. 2025). arXiv

[60]

E. Ailer • C. L. Müller • N. Kilbertus
Instrumental variable estimation for compositional treatments.
Scientific Reports 15.5158. Feb. 2025. DOI

[59]

P. Weiler
Deep generative modeling of transcriptional dynamics and data-view agnostic inference of cellular state changes with single-cell omics data.
Dissertation TU München. Jan. 2025. URL

[58]

L. B. Kuemmerle • M. D. Luecken • A. B. Firsova • L. Barros de Andrade e Sousa • L. Straßer • I. I. Mekki • F. Campi • L. Heumos • M. Shulman • V. Beliaeva • S. Hediyeh-Zadeh • A. C. Schaar • K. T. Mahbubani • A. Sountoulidis • T. Balassa • F. Kovacs • P. Horvath • M. Piraud • A. Ertürk • C. Samakovlis • F. J. Theis
Probe set selection for targeted spatial transcriptomics.
Nature Methods 21. Dec. 2024. DOI

[57]

J. Hingerl • A. Karollus • J. Gagneur
Flashzoi: An enhanced Borzoi model for accelerated genomic analysis.
Preprint (Dec. 2024). DOI

[56]

B. Clarke • E. Holtkamp • H. Öztürk • M. Mück • M. Wahlberg • K. Meyer • F. Munzlinger • F. Brechtmann • F. R. Hölzlwimmer • J. Lindner • Z. Chen • J. Gagneur • O. Stegle
Integration of variant annotations using deep set networks boosts rare variant association testing.
Nature Genetics 56. Sep. 2024. DOI

[55]

A. Szałata • K. Hrovatin • S. Becker • A. Tejada-Lapuerta • H. Cui • B. Wang • F. J. Theis
Transformers in single-cell omics: a review and new perspectives.
Nature Methods 21. Aug. 2024. DOI

[54]

T. Uscidda • L. Eyring • K. Roth • F. J. Theis • Z. Akata • M. Cuturi
Disentangled Representation Learning through Geometry Preservation with the Gromov-Monge Gap.
SPIGM @ICML 2024 - Workshop on Structured Probabilistic Inference & Generative Modeling at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv

[53]

M. Ali • M. Kuijs • S. Hediyeh-zadeh • T. Treis • K. Hrovatin • G. Palla • A. C. Schaar • F. J. Theis
GraphCompass: spatial metrics for differential analyses of cell organization across conditions.
Bioinformatics 40.Supplement 1. Jul. 2024. DOI

[52]

T. Wollschläger • N. Kemper • L. Hetzel • J. Sommer • S. Günnemann
Expressivity and Generalization: Fragment-Biases for Molecular GNNs.
Preprint (Jun. 2024). arXiv

[51]

L. Eyring • D. Klein • T. Uscidda • G. Palla • N. Kilbertus • Z. Akata • F. J. Theis
Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation.
ICLR 2024 - 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. URL

[50]

A. Karollus • J. Hingerl • D. Gankin • M. Grosshauser • K. Klemon • J. Gagneur
Species-aware DNA language models capture regulatory elements and their evolution.
Genome Biology 35.83. Apr. 2024. DOI

[49]

P. T. da Silva • Y. Zhang • E. Theodorakis • L. D. Martens • V. A. Yépez • V. Pelechano • J. Gagneur
Cellular energy regulates mRNA translation and degradation in a codon-specific manner.
Molecular Systems Biology 20.5. Mar. 2024. DOI

[48]

A. Gayoso • P. Weiler • M. Lotfollahi • D. Klein • J. Hong • A. Streets • F. J. Theis • N. Yosef
Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells.
Nature Methods 21. Jan. 2024. DOI

[47]

D. Di Fraia • A. Marino • J. H. Lee • E. Kelmer Sacramento • M. Baumgart • S. Bagnoli • P. T. da Silva • A. K. Sahu • G. Siano • M. Tiessen • E. Terzibasi-Tozzini • J. Gagneur • J. Frydman • A. Cellerino • A. Ori
Impaired biogenesis of basic proteins impacts multiple hallmarks of the aging brain.
Preprint (Jan. 2024). DOI

[46]

F. Brechtmann • T. Bechtler • S. Londhe • C. Mertes • J. Gagneur
Evaluation of input data modality choices on functional gene embeddings.
NAR Genomics and Bioinformatics 5.4. Dec. 2023. DOI

[45]

C. Kolb • B. Bischl • C. L. Müller • D. Rügamer
Sparse Modality Regression.
IWSM 2023 - 37th International Workshop on Statistical Modelling. Dortmund, Germany, Jul 17-21, 2023. Best Paper Award. PDF

[44]

C. Kolb • C. L. Müller • B. Bischl • D. Rügamer
Smoothing the Edges: Smooth Optimization for Sparse Regularization using Hadamard Overparametrization.
Preprint (Jul. 2023). arXiv

[43]

M. Lotfollahi • A. K. Susmelj • C. De Donno • L. Hetzel • Y. Ji • I. L. Ibarra • S. R. Srivatsan • M. Naghipourfar • R. M. Daza • B. Martin • J. Shendure • J. L. McFaline‐Figueroa • P. Boyeau • F. A. Wolf • N. Yakubova • S. Günnemann • C. Trapnell • D. Lopez‐Paz • F. J. Theis
Predicting cellular responses to complex perturbations in high-throughput screens.
Molecular Systems Biology 19.e11517. Jun. 2023. DOI

[42]

J. Sommer • L. Hetzel • D. Lüdke • F. J. Theis • S. Günnemann
The power of motifs as inductive bias for learning molecular distributions.
Preprint (Jun. 2023). arXiv

[41]

D. S. Fischer • A. C. Schaar • F. J. Theis
Modeling intercellular communication in tissues using spatial graphs of cell.
Nature Biotechnology 41. Mar. 2023. DOI

[40]

L. Heumos • A. C. Schaar • C. Lance • A. Litinetskaya • F. Drost • L. Zappia • M. D. Lücken • D. C. Strobl • J. Henao • F. Curion • S.-c. Best Practices Consortium • H. B. Schiller • F. J. Theis
Best practices for single-cell analysis across modalities.
Nature Reviews Genetics 24. Mar. 2023. DOI

[39]

T. Ullmann • S. Peschel • P. Finger • C. L. Müller • A.-L. Boulesteix
Over-optimism in unsupervised microbiome analysis: Insights from network learning and clustering.
PLOS Computational Biology 19.1. Jan. 2023. DOI

[38]

H. Aliee • T. Richter • M. Solonin • I. Ibarra • F. J. Theis • N. Kilbertus
Sparsity in Continuous-Depth Neural Networks.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. DOI

[37]

L. Hetzel • S. Boehm • N. Kilbertus • S. Günnemann • M. Lotfollahi • F. J. Theis
Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution.
NeurIPS 2022 - 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. DOI

[36]

D. S. Fischer • M. Ali • S. Richter • A. Ertürk • F. J. Theis
Graph neural networks learn emergent tissue properties from spatial molecular profiles.
Preprint (Nov. 2022). DOI

[35]

M. Lange
Modeling dynamical biological processes through the lens of single-cell genomics.
Dissertation TU München. Oct. 2022. URL

[34]

D. Rügamer • A. Bender • S. Wiegrebe • D. Racek • B. Bischl • C. L. Müller • C. Stachl
Factorized Structured Regression for Large-Scale Varying Coefficient Models.
ECML-PKDD 2022 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Grenoble, France, Sep 19-23, 2022. DOI

[33]

B. A. Hersbach • D. S. Fischer • G. Masserdotti • D. Deeksha • K. Mojžišová • T. Waltzhöni • D. Rodriguez‐Terrones • M. Heinig • F. J. Theis • M. Götz • S. H. Stricker
Probing cell identity hierarchies by fate titration and collision during direct reprogramming.
Molecular Systems Biology 18.e11129. Sep. 2022. DOI

[32]

E. M. A. Slob • A. Faiz • J. van Nijnatten • S. J. H. Vijverberg • C. Longo • M. Kutlu • F. T. Chew • Y. Y. Sio • E. Herrera-Luis • A. Espuela-Ortiz • J. Perez-Garcia • M. Pino-Yanes • E. G. Burchard • U. Potočnik • M. Gorenjak • C. Palmer • C. Maroteau • S. Turner • K. Verhamme • L. Karimi • S. Mukhopadhyay • W. Timens • P. S. Hiemstra • M. W. Pijnenburg • M. Neighbors • M. A. Grimbaldeston • G. W. Tew • C. A. Brandsma • V. Berce • H. Aliee • F. J. Theis • D. D. Sin • X. Li • M. van den Berge • A. H. Zee • G. H. Koppelman
Association of bronchial steroid inducible methylation quantitative trait loci with asthma and chronic obstructive pulmonary disease treatment response.
Clinical and Translational Allergy 12.8. Aug. 2022. DOI

[31]

M. Lotfollahi • M. Naghipourfar • M. D. Luecken • M. Khajavi • M. Büttner • M. Wagenstetter • Z. Avsec • A. Gayoso • N. Yosef • M. Interlandi • S. Rybakov • A. V. Misharin • F. J. Theis
Mapping single-cell data to reference atlases by transfer learning.
Nature Biotechnology 40. Aug. 2022. DOI

[30]

L. Hetzel • S. Boehm • N. Kilbertus • S. Günnemann • M. Lotfollahi • F. J. Theis
Predicting single-cell perturbation responses for unseen drugs.
MLDD @ICML 2022 - Workshop on Machine Learning for Drug Discovery at the 39th International Conference on Machine Learning. Baltimore, MD, USA, Jul 17-23, 2022. URL

[29]

K. Baßler • W. Fujii • T. S. Kapellos • E. Dudkin • N. Reusch • A. Horne • B. Reiz • M. D. Luecken • C. Osei-Sarpong • S. Warnat-Herresthal • L. Bonaguro • J. Schulte-Schrepping • A. Wagner • P. Günther • C. Pizarro • T. Schreiber • R. Knoll • L. Holsten • C. Kröger • E. De Domenico • M. Becker • K. Händler • C. T. Wohnhaas • F. Baumgartner • M. Köhler • H. Theis • M. Kraut • M. H. Wadsworth • T. K. Hughes • H. J. Ferreira • E. Hinkley • I. H. Kaltheuner • M. Geyer • C. Thiele • A. K. Shalek • A. Feißt • D. Thomas • H. Dickten • M. Beyer • P. Baum • N. Yosef • A. C. Aschenbrenner • T. Ulas • J. Hasenauer • F. J. Theis • D. Skowasch • J. L. Schultze
Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation.
Frontiers in Immunology 13. Jul. 2022. DOI

[28]

G. Palla • H. Spitzer • M. Klein • D. S. Fischer • A. C. Schaar • L. B. Kuemmerle • S. Rybakov • I. L. Ibarra • O. Holmberg • I. Virshup • M. Lotfollahi • S. Richter • F. J. Theis
Squidpy: a scalable framework for spatial omics analysis.
Nature Methods 19. Jan. 2022. DOI

[27]

M. Lange • V. Bergen • M. Klein • M. Setty • B. Reuter • M. Bakhti • H. Lickert • M. Ansari • J. Schniering • H. B. Schiller • D. Pe’er • F. J. Theis
CellRank for directed single-cell fate mapping.
Nature Methods 19.2. Jan. 2022. DOI

[26]

L. Hetzel • D. S. Fischer • S. Günnemann • F. J. Theis
Graph representation learning for single-cell biology.
Current Opinion in Systems Biology 28.100347. Dec. 2021. DOI

[25]

K. T. Schmid • B. Höllbacher • C. Cruceanu • A. Böttcher • H. Lickert • E. B. Binder • F. J. Theis • M. Heinig
scPower accelerates and optimizes the design of multi-sample single cell transcriptomic studies.
Nature Communications 12.6625. Nov. 2021. DOI

[24]

C. M. Verdun • T. Fuchs • P. Harar • D. Elbrächter • D. S. Fischer • J. Berner • P. Grohs • F. J. Theis • F. Krahmer
Group Testing for SARS-CoV-2 Allows for Up to 10-Fold Efficiency Increase Across Realistic Scenarios and Testing Strategies.
Frontiers in Public Health 9. Aug. 2021. DOI

[23]

D. S. Fischer • L. Dony • M. König • A. Moeed • L. Zappia • L. Heumos • S. Tritschler • O. Holmberg • H. Aliee • F. J. Theis
Sfaira accelerates data and model reuse in single cell genomics.
Genome Biology 22.248. Aug. 2021. DOI

[22]

V. Bergen • R. A. Soldatov • P. V. Kharchenko • F. J. Theis
RNA velocity—current challenges and future perspectives.
Molecular Systems Biology 17.e10282. Aug. 2021. DOI

[21]

D. S. Fischer • M. Ansari • K. I. Wagner • S. Jarosch • Y. • C. H. Mayr • M. Lang • E. D’Ippolito • M. Hammel • L. Mateyka • S. Weber • L. S. Wolff • K. Witter • I. E. Fernandez • G. Leuschner • K. Milger • M. Frankenberger • L. Nowak • K. Heinig-Menhard • I. Koch • M. G. Stoleriu • A. Hilgendorff • J. Behr • A. Pichlmair • B. Schubert • F. J. Theis • D. H. Busch • H. B. Schiller • K. Schober
Single-cell RNA sequencing reveals ex vivo signatures of SARS-CoV-2-reactive T cells through ‘reverse phenotyping’.
Nature Communications 12.1. Jul. 2021. DOI

[20]

Y. Ji • M. Lotfollahi • F. A. Wolf • F. J. Theis
Machine learning for perturbational single-cell omics.
Cell Systems 12.6. Jun. 2021. DOI GitHub

[19]

H. Seibold • S. Czerny • S. Decke • R. Dieterle • T. Eder • S. Fohr • N. Hahn • R. Hartmann • C. Heindl • P. Kopper • D. Lepke • V. Loidl • M. M. Mandl • S. Musiol • J. Peter • A. Piehler • E. Rojas • S. Schmid • H. Schmidt • M. Schmoll • L. Schneider • X.-Y. To • V. Tran • A. Völker • M. Wagner • J. Wagner • M. Waize • H. Wecker • R. Yang • S. Zellner • M. Nalenz
A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses.
PLOS One 16.6. Jun. 2021. DOI

[18]

D. S. Fischer • A. C. Schaar • F. J. Theis
Learning cell communication from spatial graphs of cells.
Preprint (Jun. 2021). DOI

[17]

M. Lotfollahi • A. K. Susmelj • C. De Donno • Y. Ji • I. L. Ibarra • F. A. Wolf • N. Yakubova • F. J. Theis • D. Lopez-Paz
Compositional perturbation autoencoder for single-cell response modeling.
Preprint (May. 2021). DOI

[16]

[15]

F. Meier • N. D. Köhler • A.-D. Brunner • J.-M. H. Wanka • E. Voytik • M. T. Strauss • F. J. Theis • M. Mann
Deep learning the collisional cross sections of the peptide universe from a million experimental values.
Nature Communications 12.1185. Feb. 2021. DOI

[14]

J. P. Lopez • E. Brivio • A. Santambrogio • C. De Donno • A. Kos • M. Peters • N. Rost • D. Czamara • T. M. Brückl • S. Roeh • M. L. Pöhlmann • C. Engelhardt • A. Ressle • R. Stoffel • A. Tontsch • J. M. Villamizar • M. Reincke • A. Riester • S. Sbiera • M. Fassnacht • H. S. Mayberg • W. E. Craighead • B. W. Dunlop • C. B. Nemeroff • M. V. Schmidt • E. B. Binder • F. J. Theis • F. Beuschlein • C. L. Andoniadou • A. Chen
Single-cell molecular profiling of all three components of the HPA axis reveals adrenal ABCB1 as a regulator of stress adaptation.
Science Advances 7.5. Jan. 2021. DOI

[13]

M. Lotfollahi • M. Naghipourfar • F. J. Theis • F. A. Wolf
Conditional out-of-distribution generation for unpaired data using transfer VAE.
Bioinformatics 36.Supplement 2. Dec. 2020. DOI

[12]

N.-K. Chlis • A. Karlas • N.-A. Fasoula • M. Kallmayer • H.-H. Eckstein • F. J. Theis • V. Ntziachristos • C. Marr
A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography.
Photoacoustics 20.100203. Dec. 2020. DOI

[11]

N.-K. Chlis • L. Rausch • T. Brocker • J. Kranich • F. J. Theis
Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning.
Nucleic Acids Research 48.20. Nov. 2020. DOI

[10]

D. S. Fischer • Y. Wu • B. Schubert • F. J. Theis
Predicting antigen specificity of single T cells based on TCR CDR3 regions.
Molecular Systems Biology 16.8. Aug. 2020. DOI

[9]

V. Bergen • M. Lange • S. Peidli • F. A. Wolf • F. J. Theis
Generalizing RNA velocity to transient cell states through dynamical modeling.
Nature Biotechnology 38. Aug. 2020. DOI

[8]

J. Kranich • N.-K. Chlis • L. Rausch • A. Latha • M. Schifferer • T. Kurz • A. F.-A. Kia • M. Simons • F. J. Theis • T. Brocker
In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning.
Journal of Extracellular Vesicles 9.1. Jul. 2020. DOI

[7]

M. Lotfollahi • M. Naghipourfar • M. D. Luecken • M. Khajavi • M. Büttner • Z. Avsec • A. V. Misharin • F. J. Theis
Query to reference single-cell integration with transfer learning.
Preprint (Jul. 2020). DOI

[6]

K. Baßler • W. Fujii • T. S. Kapellos • A. Horne • B. Reiz • E. Dudkin • M. Lücken • N. Reusch • C. Osei-Sarpong • S. Warnat-Herresthal • A. Wagner • L. Bonaguro • P. Günther • C. Pizarro • T. Schreiber • M. Becker • K. Händler • C. T. Wohnhaas • F. Baumgartner • M. Köhler • H. Theis • M. Kraut • M. H. Wadsworth • T. K. Hughes • H. J. G. Ferreira • J. Schulte-Schrepping • E. Hinkley • I. H. Kaltheuner • M. Geyer • C. Thiele • A. K. Shalek • A. Feißt • D. Thomas • H. Dickten • M. Beyer • P. Baum • N. Yosef • A. C. Aschenbrenner • T. Ulas • J. Hasenauer • F. J. Theis • D. Skowasch • J. L. Schultze
Alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease.
Preprint (May. 2020). DOI

[5]

S. Sachs • A. Bastidas-Ponce • S. Tritschler • M. Bakhti • A. Böttcher • M. A. Sánchez-Garrido • M. Tarquis-Medina • M. Kleinert • K. Fischer • S. Jall • A. Harger • E. Bader • S. Roscioni • S. Ussar • A. Feuchtinger • B. Yesildag • A. Neelakandhan • C. B. Jensen • M. Cornu • B. Yang • B. Finan • R. D. DiMarchi • M. H. Tschöp • F. J. Theis • S. M. Hofmann • T. D. Müller • H. Lickert
Targeted pharmacological therapy restores β-cell function for diabetes remission.
Nature Metabolism 2. Feb. 2020. DOI

[4]

D. Davletshina • V. Melnychuk • V. Tran • H. Singla • M. Berrendorf • E. Faerman • M. Fromm • M. Schubert
Unsupervised Anomaly Detection for X-Ray Images.
Preprint (Jan. 2020). arXiv GitHub

[3]

M. Lotfollahi • F. A. Wolf • F. J. Theis
scGen predicts single-cell perturbation responses.
Nature Methods 16.8. Jul. 2019. DOI GitHub

[2]

F. Erhard • M. A. P. Baptista • T. Krammer • T. Hennig • M. Lange • P. Arampatzi • C. S. Jürges • F. J. Theis • A.-E. Saliba • L. Dölken
scSLAM-seq reveals core features of transcription dynamics in single cells.
Nature 571. Jul. 2019. DOI

[1]

M. D. Luecken • F. J. Theis
Current best practices in single‐cell RNA‐seq analysis: a tutorial.
Molecular Systems Biology 15.e8746. Jun. 2019. DOI GitHub

C3 | Physics and Geo Sciences

Geoinformation from Earth Observation satellite data is vital for addressing societal challenges. The research focus at MCML in this area is on tailoring data science and ML for geo-relevant applications. This includes physics-aware ML, uncertainty quantification, explainable geoinformation retrieval, Quantum ML for a digital twin of the Earth, and ethical considerations in ML for Earth Observation.

David Egger

Prof. Dr.

Collaborating PI

Theory of Functional Energy Materials

Daniel Grün

Prof. Dr.

Collaborating PI

Astrophysics, Cosmology and Artificial Intelligence

Lukas Heinrich

Prof. Dr.

Collaborating PI

Data Science in Physics

Patrick Rinke

Prof. Dr.

Core PI

AI-based Material Science

Helge Stein

Prof. Dr.

Collaborating PI

Digital Catalysis

Xiaoxiang Zhu

Prof. Dr.

Core PI

Data Science in Earth Observation

©all images: LMU | TUM

Publications in Research Area C3

[166]

Z. Chen • Y. Wang • X. Zhu
Unified Primitive Proxies for Structured Shape Completion.
CVPR 2026 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Denver, CO, USA, Jun 03-07, 2026. To be published. Preprint available. arXiv GitHub

[165]

N. Lehmann • A. Shah • J. Bamber • X. Zhu
OceanBottle: Sea Surface State Data Assimilation and Downscaling.
EGU 2026 - General Assembly of the European Geosciences Union. Vienna, Austria, May 03-08, 2026. DOI

[164]

X. Zhu • P. Rinke • D. A. Egger
Predicting temperature-dependent optoelectronic properties of semiconductor defects with equivariant neural networks.
npj Computational Materials 12.176. May. 2026. DOI

[163]

N. A. A. Braham • A. Banze • C. M. Albrecht • J. Mairal • J. Chanussot • X. Zhu
SpectralEarth-FM: Bringing Hyperspectral Imagery into Multimodal Earth Observation Pretraining.
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EAC 2025 - European Aerosol Conference. Lecce, Italy, Aug 31-Sep 05, 2025. URL

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Y. Wang • Q. Song • D. Wasif • M. Shahzad • C. Koller • J. Bamber • X. Zhu
How Certain are Uncertainty Estimates? Three Novel Earth Observation Datasets for Benchmarking Uncertainty Quantification in Machine Learning.
Preprint (Dec. 2024). arXiv GitHub

[51]

X. Xue • G. Wei • H. Chen • H. Zhang • F. Lin • C. Shen • X. Zhu
REO-VLM: Transforming VLM to Meet Regression Challenges in Earth Observation.
Preprint (Dec. 2024). arXiv

[50]

Q. Li • S. Krapf • L. Mou • Y. Shi • X. Zhu
Deep learning-based framework for city-scale rooftop solar potential estimation by considering roof superstructures.
Applied Energy 374.123839. Nov. 2024. DOI

[49]

Y. Wang • H. Hernández Hernández • C. M. Albrecht • X. Zhu
Feature Guided Masked Autoencoder for Self-Supervised Learning in Remote Sensing.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Nov. 2024. DOI

[48]

Y. Yang • X. Sun • J. Dong • K.-M. Lam • X. Zhu
Attention-ConvNet Network for Ocean-Front Prediction via Remote Sensing SST Images.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI GitHub

[47]

W. Yu • X. Zhang • R. Gloaguen • X. Zhu • P. Ghamisi
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery.
IEEE Transactions on Geoscience and Remote Sensing 62. Nov. 2024. DOI

[46]

Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering artificial intelligence for Earth observation.
IEEE Geoscience and Remote Sensing Magazine Early Access. Oct. 2024. DOI GitHub

[45]

Y. Wang • C. M. Albrecht • X. Zhu
Multilabel-Guided Soft Contrastive Learning for Efficient Earth Observation Pretraining.
IEEE Transactions on Geoscience and Remote Sensing 62. Oct. 2024. DOI GitHub

[44]

Q. Xu • Y. Shi • J. Bamber • C. Ouyang • X. Zhu
Large-scale flood modeling and forecasting with FloodCast.
Water Research 264. Oct. 2024. DOI

[43]

W. Huang • Y. Shi • Z. Xiong • X. Zhu
Representation Enhancement-Stabilization: Reducing Bias-Variance of Domain Generalization.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[42]

Y. Wang • C. M. Albrecht • N. A. A. Braham • C. Liu • Z. Xiong • X. Zhu
Decoupling Common and Unique Representations for Multimodal Self-supervised Learning.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub

[41]

K. Heidler • I. Nitze • G. Grosse • X. Zhu
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic.
IEEE Transactions on Geoscience and Remote Sensing 62. Aug. 2024. DOI

[40]

F. Xu • Y. • W. Yang • G.-S. Xia • X. Zhu
CloudSeg: A multi-modal learning framework for robust land cover mapping under cloudy conditions.
ISPRS Journal of Photogrammetry and Remote Sensing 214. Aug. 2024. DOI GitHub

[39]

J. Eudaric • H. Kreibich • A. Camero • K. R. Shahi • S. Martinis • X. Zhu
A satellite imagery-driven framework for rapid resource allocation in flood scenarios to enhance loss and damage fund effectiveness.
Scientific Reports 14.19290. Aug. 2024. DOI

[38]

F. Fan • Y. Shi • X. Zhu
Land Cover Classification From Sentinel-2 Images With Quantum-Classical Convolutional Neural Networks.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17. Jul. 2024. DOI

[37]

Z. Xiong • S. Chen • Y. Shi • X. Zhu
Self-Supervised Pretraining With Monocular Height Estimation for Semantic Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI

[36]

W. Yu • X. Zhang • S. Das • X. Zhu • P. Ghamisi
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification.
IEEE Transactions on Geoscience and Remote Sensing 62. Jul. 2024. DOI GitHub

[35]

F. Fan • Y. Shi • X. Zhu
Urban Land Cover Classification with Efficient Hybrid Quantum Machine Learning Model.
CEC 2024 - IEEE Congress on Evolutionary Computation. Yokohama, Japan, Jun 30-Jul 05, 2024. DOI

[34]

A. Höhl • I. Obadic • M.-Á. Fernández-Torres • D. Oliveira • X. Zhu;
Recent Trends Challenges and Limitations of Explainable AI in Remote Sensing.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. PDF

[33]

I. Obadic • A. Levering • L. Pennig • D. Oliveira • D. Marcos • X. Zhu
Contrastive Pretraining for Visual Concept Explanations of Socioeconomic Outcomes.
Workshop @CVPR 2024 - Workshop at the IEEE/CVF Conference on Computer Vision and Pattern Recognition. Seattle, WA, USA, Jun 17-21, 2024. DOI

[32]

C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
Task Specific Pretraining with Noisy Labels for Remote sensing Image Segmentation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[31]

Z. Yuan • L. Mou; • Y. Hua • X. Zhu
Referring Image Segmentation for Remote Sensing Data.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[30]

Q. Zhang • Y. Wang • X. Zhu
Deep-Learning-Based Large-Scale Forest Height Generation.
IGARSS 2024 - IEEE International Geoscience and Remote Sensing Symposium. Athens, Greece, Jun 07, 2024-12, 2023. DOI

[29]

X. Li • C. Wen • Y. Hu • Z. Yuan • X. Zhu
Vision-Language Models in Remote Sensing: Current progress and future trends.
IEEE Geoscience and Remote Sensing Magazine 12.2. Jun. 2024. DOI

[28]

J. Guo • D. Hong • Z. Liu • X. Zhu
Continent-wide urban tree canopy fine-scale mapping and coverage assessment in South America with high-resolution satellite images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI

[27]

W. Huang • Y. Shi • Z. Xiong • X. Zhu
Decouple and weight semi-supervised semantic segmentation of remote sensing images.
ISPRS Journal of Photogrammetry and Remote Sensing 212. Jun. 2024. DOI GitHub

[26]

C. Liu • C. M. Albrecht • Y. Wang • X. Zhu
CromSS: Cross-modal pre-training with noisy labels for remote sensing image segmentation.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF

[25]

S. Zhao • I. Prapas • I. Karasante • Z. Xiong • I. Papoutsis • G. Camps-Valls • X. Zhu
Causal Graph Neural Networks for Wildfire Danger Prediction.
ML4RS @ICLR 2024 - 2nd Workshop Machine Learning for Remote Sensing at the 12th International Conference on Learning Representations. Vienna, Austria, May 07-11, 2024. PDF

[24]

K. Hechinger • C. Koller • X. Zhu • G. Kauermann
Human-in-the-loop: Towards Label Embeddings for Measuring Classification Difficulty.
Preprint (May. 2024). arXiv

[23]

X. Zhu • Z. Xiong • Y. Wang • A. J. Stewart • K. Heidler • Y. Wang • Z. Yuan • T. Dujardin • Q. Xu • Y. Shi
On the Foundations of Earth and Climate Foundation Models.
Preprint (May. 2024). arXiv

[22]

J. Eudaric • A. Camero • K. Rafiezadeh Shahi • H. Kreibich • S. Martinis • X. Zhu
Rapid unsupervised economic assessment of urban flood damage using SAR images.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI

[21]

Y. Mu • M. Shahzad • X. Zhu
A spectral-spatial-temporal attention network for tree species mapping using DESIS hyperspectral imagery.
EGU 2024 - General Assembly of the European Geosciences Union. Vienna, Austria, Apr 14-19, 2024. DOI

[20]

C. Koller • P. Jung • X. Zhu
Can Land Cover Classification Models Benefit From Distance-Aware Architectures?
IEEE Geoscience and Remote Sensing Magazine 21. Apr. 2024. DOI GitHub

[19]

K. Qian • Y. Wang • P. Jung • Y. Shi • X. Zhu
HyperLISTA-ABT: An Ultralight Unfolded Network for Accurate Multicomponent Differential Tomographic SAR Inversion.
IEEE Transactions on Geoscience and Remote Sensing 62. Apr. 2024. DOI

[18]

S. Doda • M. Kahl • K. Ouan • I. Obadic • Y. Wang • H. Taubenböck • X. Zhu
Interpretable deep learning for consistent large-scale urban population estimation using Earth observation data.
International Journal of Applied Earth Observation and Geoinformation 128. Apr. 2024. DOI

[17]

J. Guo • D. Hong • X. Zhu
High-resolution satellite images reveal the prevalent positive indirect impact of urbanization on urban tree canopy coverage in South America.
Landscape and Urban Planning 247. Apr. 2024. DOI

[16]

Y. Mu • J. Guo • M. Shahzad • X. Zhu
Nationwide Tree Species Mapping in Germany with Forestformer: Assessing Forest Resilience and Unveiling Distribution Patterns.
Preprint (Apr. 2024). DOI

[15]

Z. Xiong • F. Zhang • Y. Wang • Y. Shi • X. Zhu
EarthNets: Empowering AI in Earth Observation.
Preprint (Apr. 2024). arXiv GitHub

[14]

Q. Li • L. Mou • Y. Sun • Y. Hua • Y. Shi • X. Zhu
A Review of Building Extraction From Remote Sensing Imagery: Geometrical Structures and Semantic Attributes.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI

[13]

Z. Yuan • L. Mou • Y. Hua • X. Zhu
RRSIS: Referring Remote Sensing Image Segmentation.
IEEE Transactions on Geoscience and Remote Sensing 62. Mar. 2024. DOI GitHub

[12]

Z. Xiong • Y. Wang • F. Zhang • A. J. Stewart • J. Hanna • D. Borth • I. Papoutsis • B. Le Saux • G. Camps-Valls • X. Zhu
Neural Plasticity-Inspired Multimodal Foundation Model for Earth Observation.
Preprint (Mar. 2024). arXiv

[11]

T. Li • K. Heidler • L. Mou • Á. Ignéczi • X. Zhu • J. L. Bamber
A high-resolution calving front data product for marine-terminating glaciers in Svalbard.
Earth System Science Data 16.2. Feb. 2024. DOI

[10]

Y. Xie • X. Yuan • X. Zhu • J. Tian
Multimodal Co-Learning for Building Change Detection: A Domain Adaptation Framework Using VHR Images and Digital Surface Models.
IEEE Transactions on Geoscience and Remote Sensing 62. Feb. 2024. DOI

[9]

F. Zhang • Y. Shi • Z. Xiong • X. Zhu
Few-Shot Object Detection in Remote Sensing: Lifting the Curse of Incompletely Annotated Novel Objects.
IEEE Transactions on Geoscience and Remote Sensing 62. Jan. 2024. DOI GitHub

[8]

S. Šćepanović • I. Obadic • S. Joglekar • L. Giustarini • C. Nattero • D. Quercia • X. Zhu
MedSat: A Public Health Dataset for England Featuring Medical Prescriptions and Satellite Imagery.
NeurIPS 2023 - 37th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Dec 10-16, 2023. DOI

[7]

F. Xu • Y. Shi • P. Ebel • W. Yang • X. Zhu
Multimodal and Multiresolution Data Fusion for High-Resolution Cloud Removal: A Novel Baseline and Benchmark.
IEEE Transactions on Geoscience and Remote Sensing 62. Dec. 2023. DOI GitHub

[6]

F. Fan • Y. Shi • T. Guggemos • X. Zhu
Hybrid Quantum-Classical Convolutional Neural Network Model for Image Classification.
IEEE Transactions on Neural Networks and Learning Systems 35.12. Dec. 2023. DOI URL

[5]

T. Beker • H. Ansari • S. Montazeri • Q. Song • X. Zhu
Deep Learning for Subtle Volcanic Deformation Detection With InSAR Data in Central Volcanic Zone.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI

[4]

S. Chen • Y. Shi • Z. Xiong • X. Zhu
HTC-DC Net: Monocular Height Estimation From Single Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub

[3]

F. Zhou • X. Sun • C. Sun • J. Dong • X. Zhu
Adaptive Morphology Filter: A Lightweight Module for Deep Hyperspectral Image Classification.
IEEE Transactions on Geoscience and Remote Sensing 61. Oct. 2023. DOI GitHub

[2]

Q. Xu • Y. Shi • J. Bamber • Y. Tuo • R. Ludwig • X. Zhu
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology.
Preprint (Oct. 2023). arXiv GitHub

[1]

I. Obadic • R. Roscher • D. A. B. Oliveira • X. Zhu
Exploring Self-Attention for Crop-type Classification Explainability.
Preprint (Oct. 2022). arXiv

The landscape for empirical social scientists has transformed with the rise of computational social science. Our researchers focus on aligning research goals with available digital trace data, evaluating data quality in relation to research objectives, and ensuring reproducibility through thorough documentation. They emphasize the critical need to assess and evaluate data feeding into AI systems to prevent biases, unfair operations, and the exacerbation of social inequalities.

Jana Diesner

Prof. Dr.

Collaborating PI

Human-Centered Computing

Christoph Kern

Prof. Dr.

Core PI

Social Data Science and AI

Frauke Kreuter

Prof. Dr.

Core PI

Social Data Science and AI

Helmut Küchenhoff

Prof. Dr.

Core PI

Statistical Consulting Unit (StaBLab)

Publications in Research Area C4

[145]

S. Kolli • T. Cavelius • N. Nikeghbal • S. Dalal • J. Diesner
StylisticBias: A Few Human Visual Cues Drive Most Social Bias in MLLMs.
AI4GOOD @ICML 2026 - Workshop on Trustworthy AI for Good at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL GitHub

[144]

N. Nikeghbal • A. H. Kargaran • S. Kolli • J. Diesner
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs.
AI4GOOD @ICML 2026 - Workshop on Trustworthy AI for Good at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[143]

N. Nikeghbal • A. H. Kargaran • S. Kolli • J. Diesner
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs.
AIWILD @ICML 2026 - 2nd Workshop on Agents in the Wild: Safety, Security, and Beyond at the 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[142]

S. Ball • P. Hackemann
Position: The Alignment Community is Unintentionally Building a Censor’s Toolkit.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. Oral Presentation. To be published. Preprint available. GitHub

[141]

S. Ball • S. Allmendinger • N. Kühl • F. Kreuter
Reading Between the Tokens: Improving Preference Predictions through Mechanistic Forecasting.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. URL

[140]

S. Ball • A. Haupt
Don't Walk the Line: Boundary Guidance for Filtered Generation.
ICML 2026 - 43rd International Conference on Machine Learning. Seoul, South Korea, Jul 06-11, 2026. To be published. Preprint available. arXiv

[139]

G. Ahnert • A.-C. Haensch • B. Plank • M. Strohmaier
Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models.
ACL 2026 - 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. DOI

[138]

B. Ma • Y. Miyao
The Imperfective Paradox in Large Language Models.
ACL 2026 - 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. DOI

[137]

C. Wu • B. Ma • N. Deng • Y. He • Y. Xue • X. Liu
MSMO-ABSA: Multi-Scale and Multi-Objective Optimization for Cross-Lingual Aspect-Based Sentiment Analysis.
ACL 2026 - 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. DOI

[136]

W. Zhou • B. Ma • A. Friedrich • M. Mesgar
Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation.
ACL 2026 - 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. DOI

[135]

B. Ma • Y. Yao • A.-C. Haensch
Capabilities and Evaluation Biases of Large Language Models in Classical Chinese Poetry Generation: A Case Study on Tang Poetry.
Findings @ACL 2026 - Findings at the 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. DOI

[134]

X. Dong • C. Wu • Y. Wen • Y. Chen • Y. Xue • J. Zhang • W. Xu • B. Ma
FAITH: Factuality Alignment through Integrating Trustworthiness and Honestness.
Findings @ACL 2026 - Findings at the 64th Annual Meeting of the Association for Computational Linguistics. San Diego, CA, USA, Jul 02-07, 2026. To be published. Preprint available. DOI

[133]

S. Ball • N. Hasrati • A. Robey • A. Schwarzschild • F. Kreuter • Z. Kolter • A. Risteski
Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models.
Transactions on Machine Learning Research. Jun. 2026. URL

[132]

B. Xue • Y. Xu • B. Ma • Y. Song • J. Ding • L. Fu • X. Wang
FLAME: Empowering Frozen LLMS for Knowledge Graph Completion.
ICASSP 2026 - IEEE International Conference on Acoustics, Speech and Signal Processing. Barcelona, Spain, May 04-08, 2026. DOI

[131]

Y. Cai • C. Wu • B. Ma • B. Chen • Y. Xue • J. Hirschberg • Z. Gong
SURE: Synergistic Uncertainty-Aware Reasoning for Multimodal Emotion Recognition in Conversations.
ICASSP 2026 - IEEE International Conference on Acoustics, Speech and Signal Processing. Barcelona, Spain, May 04-08, 2026. To be published. Preprint available. DOI

[130]

H. Funk • C. Gruber • G. Kauermann • H. Küchenhoff • R. Ludwig • M. Mittermeier
Uncertainty-Aware AI Forecasting of European Droughts: The Role of Internal Climate Variability.
EGU 2026 - General Assembly of the European Geosciences Union. Vienna, Austria, May 03-08, 2026. DOI

[129]

S. Ball • G. Gluch • S. Goldwasser • F. Kreuter • O. Reingold • G. N. Rothblum
On the Impossibility of Separating Intelligence from Judgment: The Computational Intractability of Filtering for AI Alignment.
ICLR 2026 - 14th International Conference on Learning Representations. Rio de Janeiro, Brazil, Apr 23-27, 2026. To be published. Preprint available. arXiv

[128]

L. B. Andersen • M. Herklotz • A. Liu • M. Goeke • M. Juelich • C. Kern • F. Kreuter
From Awareness to Action? The Impact of CO2 Emission Feedback on Student LLM Usage.
CHI 2026 - ACM CHI Conference on Human Factors in Computing Systems. Barcelona, Spain, Apr 13-17, 2026. DOI

[127]

A. Liu • Y. Karoui • F. Draxler • F. Kreuter • F. Chiossi
Sensing What Surveys Miss: Understanding and Personalizing Proactive LLM Support by User Modeling.
CHI 2026 - ACM CHI Conference on Human Factors in Computing Systems. Barcelona, Spain, Apr 13-17, 2026. DOI

[126]

J. Beck • S. Eckman • C. Kern • F. Kreuter
Bias in the Loop: How Humans Evaluate AI-Generated Suggestions.
Harvard Data Science Review 8.2. Apr. 2026. DOI

[125]

R. Chew • S. Eckman • C. Kern • F. Kreuter
From Ground Truth to Measurement: A Statistical Framework for Human Labeling.
Preprint (Apr. 2026). arXiv

[124]

S. Dudy • J. Simson • Y. Long
'Taking Stock at FAccT': Using Participatory Design to Co-Create a Vision for the Fairness, Accountability and Transparency Community.
Preprint (Apr. 2026). arXiv

[123]

C. Gruber • H. Funk • M. Mittermeier • H. Küchenhoff • G. Kauerman
Capturing Aleatoric Uncertainty in Climate Models.
Preprint (Apr. 2026). arXiv

[122]

A. H. Kargaran • N. Nikeghbal • J. Diesner • F. Yvon • H. Schütze
GlotOCR Bench: OCR Models Still Struggle Beyond a Handful of Unicode Scripts.
Preprint (Apr. 2026). arXiv GitHub

[121]

S. Ball • F. Kreuter • N. Panickssery
Understanding Jailbreak Success: A Study of Latent Space Dynamics in Large Language Models.
EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics. Rabat, Morocco, Mar 24-29, 2026. DOI

[120]

B. Ma • Y. Cao • I. Sen • A.-C. Haensch • F. Kreuter • B. Plank • D. Hershcovich
Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social Simulation.
EACL 2026 - 19th Conference of the European Chapter of the Association for Computational Linguistics. Rabat, Morocco, Mar 24-29, 2026. DOI

[119]

W. H. Hartl • C. Stoppe • Y. Kotani • G. Landoni • A. G. Day • J. Piller • M. Neuberger • A. Bender
Study protocol for the use of propofol in adult intensive care unit patients: a secondary analysis of an extensive international database.
Critical Care Science 38. Mar. 2026. DOI

[118]

X. Heilmann • C. Manganini • M. Cerrato • L. Kestel • V. Belle
A Neurosymbolic Approach to Counterfactual Fairness.
Neurosymbolic Artificial Intelligence 2. Mar. 2026. DOI

[117]

I. D. Jimenez • C. Kern
Dialect and Gender Bias in YouTube's Spanish Captioning System.
Preprint (Feb. 2026). arXiv

[116]

J. Rodemann • U. Fischer Abaigar • J. Bailie • K. Muandet
Performative Learning Theory.
Preprint (Feb. 2026). arXiv

[115]

Y. Lei • X. Ge • Y. Zhang • Y. Yang • B. Ma
Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI.
AAAI 2026 - 40th Conference on Artificial Intelligence. Singapore, Jan 20-27, 2026. DOI

[114]

J. Simson
Re-evaluating the machine learning pipeline to improve fairness and reliability.
Dissertation LMU München. Jan. 2026. DOI

[113]

L. Bondo Andersen • T. Wistuba • F. Henninger • A. Liu • S. Greven • F. Kreuter
Clustering Mouse Movement Behavior in Surveys Using ResNet Embeddings.
NLDL 2026 - Northern Lights Deep Learning Conference. Tromsø, Norway, Jan 06-08, 2026. To be published. Preprint available. URL

[112]

T. Wistuba • L. Bondo Andersen • A. Liu • F. Henninger • F. Kreuter • S. Greven
Comparison of Neural Networks and Gradient Boosting Models on Ordinal Age Class Prediction using Mouse Trajectories.
NLDL 2026 - Northern Lights Deep Learning Conference. Tromsø, Norway, Jan 06-08, 2026. To be published. Preprint available. URL

[111]

J. Lonardi • S. Halimeh • S. von Mackensen • L. Kleinlein • J. Fleischer • H. Funk • J. Hölz • J. Holzapfel • S. Juranek • V. Lieftüchter • C. Bidlingmaier • M. Olivieri
HAEMFIX: Impact of Switching From SHL‐FIX to EHL‐FIX in Patients With Haemophilia B.
Haemophilia 32.1. Jan. 2026. DOI

[110]

Z. Gong • C. Dai • B. Ma • M. Ma • M. Sharma • T. Q. On • M. Morparia • B. Enos • Y. Yu • P. Resnik • S. Levitan • J. Hirschberg
A Survey on Mental Health Datasets and Resources.
Preprint (Jan. 2026). DOI

[109]

C. Yuan • B. Ma • Z. Zhang • B. Prenkaj • F. Kreuter • G. Kasneci
Moral Lenses, Political Coordinates: Towards Ideological Positioning of Morally Conditioned LLMs.
Preprint (Jan. 2026). arXiv

[108]

E. Nie • S. Yuan • B. Ma • H. Schmid • M. Färber • F. Kreuter • H. Schütze
Decomposed Prompting: Probing Multilingual Linguistic Structure Knowledge in Large Language Models.
Findings @IJCNLP 2025 - Findings of the 14th International Joint Conference on Natural Language Processing. Mumbai, India, Dec 20-24, 2025. URL

[107]

I. Ziegler • B. Ma • B. Bischl • B. Schubert • E. Dorigatti
Enhancing Multi-Epitope Vaccine Effectiveness Through State-of-the-Art Proteasomal Cleavage Prediction With Deep Learning.
BIPM 2025 - IEEE International Conference on Bioinformatics and Biomedicine. Wuhan, China, Dec 15-18, 2025. DOI GitHub

[106]

P. O. Schenk • C. Kern • F. Kreuter
Fairness in Machine Learning for National Statistical Organizations.
Foundations and Advances of Machine Learning in Official Statistics. Dec. 2025. DOI

[105]

A. Fuchs • E. Noltenius • C. Weinzierl • B. Ma • A.-C. Haensch
Measuring Sexism in US Elections: A Comparative Analysis of X Discourse from 2020 to 2024.
CODI @EMNLP 2025 - 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[104]

C. Wu • B. Ma • Y. Liu • Z. Zhang • N. Deng • Y. Li • B. Chen • Y. Zhang • Y. Xue • B. Plank
M-ABSA: A Multilingual Dataset for Aspect-Based Sentiment Analysis.
EMNLP 2025 - Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[103]

C. Wu • Y. Cai • Y. Liu • P. Zhu • Y. Xue • Z. Gong • J. Hirschberg • B. Ma
Multimodal Emotion Recognition in Conversations: A Survey of Methods, Trends, Challenges and Prospects.
Findings @EMNLP 2025 - Findings of the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[102]

S. Eckman • B. Ma • C. Kern • R. Chew • B. Plank • F. Kreuter
Aligning NLP Models with Target Population Perspectives using PAIR: Population-Aligned Instance Replication.
NLPerspectives @EMNLP 2025 - 4th Workshop on Perspectivist Approaches to NLP at the Conference on Empirical Methods in Natural Language Processing. Suzhou, China, Nov 04-09, 2025. DOI

[101]

F. Kreuter
AAPOR Presidential Address 'That Ain’t the Way I Heard It!' On the Role of Surveys in Shaping (and Being Shaped by) Generative AI.
Public Opinion Quarterly 89.3. Nov. 2025. DOI

[100]

S. F. Fischer • J. Zobolas • R. Sonabend • M. Becker • M. Lang • M. Binder • L. Schneider • L. Burk • P. Schratz • B. C. Jaeger • S. A. Lauer • L. A. Kapsner • M. Mücke • Z. Wang • D. Pulatov • K. Ganz • H. Funk • L. Harutyunyan • P. Camilleri • P. Kopper • A. Bender • B. Zhou • N. German • L. Koers • A. Nazarova • B. Bischl
mlr3extralearners: Expanding the mlr3 Ecosystem with Community-Driven Learner Integration.
The Journal of Open Source Software 10.115. Nov. 2025. DOI

[99]

J. Kappenberger • C. Strasser Ceballos • F. Gerdon • D. Szafran • F. Rupp • K. Eckert • H. Stuckenschmidt • R. Bach • F. Kreuter • C. Kern
Unintended Impacts of Automation for Integration? Simulating Integration Outcomes of Algorithm-Based Refugee Allocation in Germany.
AIES 2025 - AAAI/ACM Conference on AI, Ethics, and Society. Madrid, Spain, Oct 20-25, 2025. DOI

[98]

C. Strasser Ceballos • M. Novotny • C. Kern
Beyond Proxy Variables: Extending Refugee Allocation Algorithms for Equitable Predictions.
AIES 2025 - AAAI/ACM Conference on AI, Ethics, and Society. Madrid, Spain, Oct 20-25, 2025. DOI

[97]

L. von der Heyde
Who Counts? The Potentials and Pitfalls of Using LLMs in Survey Research.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL

[96]

L. von der Heyde • A.-C. Haensch • B. Weiß • J. Daikeler
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
NLPOR @COLM 2025 - 1st Workshop on Bridging NLP and Public Opinion Research at the Conference on Language Modeling. Montreal, Canada, Oct 07-09, 2025. URL

[95]

J. Beck
Improving annotation quality: empirical insights into bias, human-AI collaboration, and workflow design.
Dissertation LMU München. Oct. 2025. DOI

[94]

Á. F. Junquera • C. Kern
From rules to forests: rule-based versus statistical models for jobseeker profiling.
Journal for Labour Market Research 59.26. Oct. 2025. Preprint. DOI

[93]

C. Hobelsberger • T. Winner • A. Nawroth • O. Mitevski • A.-C. Haensch
Systematic Evaluation of Uncertainty Estimation Methods in Large Language Models.
Preprint (Oct. 2025). arXiv

[92]

J. Simson • A. Fabris • C. Fröhner • F. Kreuter • C. Kern
Bias Begins with Data: The FairGround Corpus for Robust and Reproducible Research on Algorithmic Fairness.
Preprint (Oct. 2025). arXiv

[91]

S. Dutta • T. Kaufmann • G. Glavaš • I. Habernal • K. Kersting • F. Kreuter • M. Mezini • I. Gurevych • E. Hüllermeier • H. Schütze
Problem Solving Through Human-AI Preference-Based Cooperation.
Computational Linguistics 51.4. Sep. 2025. DOI

[90]

F. Kreuter
Modernizing Data Collection.
Journal of Official Statistics 41.3. Sep. 2025. DOI

[89]

S. Wiegrebe • J. Piller • M. Gorski • M. Behr • H. Küchenhoff • I. M. Heid • A. Bender
Multi-state Models For Modeling Disease Histories Based On Longitudinal Data.
Preprint (Sep. 2025). arXiv

[88]

L. von der Heyde • A.-C. Haensch • B. Weiß • J. Daikeler
AIn't Nothing But a Survey? Using Large Language Models for Coding German Open-Ended Survey Responses on Survey Motivation.
JSM 2025 - Joint Statistical Meetings. Nashville, TN, USA, Aug 02-07, 2025. arXiv

[87]

H. Funk • R. Ludwig • H. Küchenhoff • T. Nagler
Towards more realistic climate model outputs: A multivariate bias correction based on zero-inflated vine copulas.
Journal of the Royal Statistical Society. Series C (Applied Statistics).qlaf044. Aug. 2025. DOI

[86]

J. Beck • A. Steinberg • A. Dimmelmeier • L. D. Burin • E. Kormanyos • M. Fehr • M. Schierholz
Addressing data gaps in sustainability reporting: A benchmark dataset for greenhouse gas emission extraction.
Scientific Data 12.1497. Aug. 2025. DOI

[85]

J. Collins • C. Kern
Pre-Trained Nonresponse Prediction in Panel Surveys with Machine Learning.
Survey Research Methods 19.2. Aug. 2025. DOI

[84]

J. Simson
Decoupling Data and Tooling in Interactive Visualization.
Preprint (Aug. 2025). arXiv

[83]

B. Ma • Y. Li • W. Zhou • Z. Gong • Y. J. Liu • K. Jasinskaja • A. Friedrich • J. Hirschberg • F. Kreuter • B. Plank
Pragmatics in the Era of Large Language Models: A Survey on Datasets, Evaluation, Opportunities and Challenges.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[82]

B. Ma • B. Yoztyurk • A.-C. Haensch • X. Wang • M. Herklotz • F. Kreuter • B. Plank • M. Aßenmacher
Algorithmic Fidelity of Large Language Models in Generating Synthetic German Public Opinions: A Case Study.
ACL 2025 - 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[81]

O. Kononykhina • A.-C. Haensch • F. Kreuter
Mind the Gap: Gender-based Differences in Occupational Embeddings.
GeBNLP @ACL 2025 - 6th Workshop on Gender Bias in Natural Language Processing at the 63rd Annual Meeting of the Association for Computational Linguistics. Vienna, Austria, Jul 27-Aug 01, 2025. DOI

[80]

O. Kononykhina • M. Schierholz
Can Large Language Models Advance Occupational Coding? Evidence and Methodological Insights.
ESRA 2025 - 11th Conference of the European Survey Research Association. Utrecht, The Netherlands, Jul 14-18, 2025. URL

[79]

U. Fischer Abaigar • C. Kern • J. Perdomo
The Value of Prediction in Identifying the Worst-Off.
ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Spotlight Presentation. Outstanding Paper Award. URL

[78]

F. Kreuter
Adaptive Alignment: Designing AI for a Changing World - Frauke Kreuter.
Invited Talk @ICML 2025 - 42nd International Conference on Machine Learning. Vancouver, Canada, Jul 13-19, 2025. Invited Talk. URL

[77]

M. Novotny • W. Weber • C. Kern • F. Kreuter
Measuring public opinion towards artificial intelligence: development and validation of a general AI attitude short scale.
AI and Society. Jul. 2025. DOI

[76]

L. von der Heyde
Who counts? Survey data quality in the age of AI.
Dissertation Universität Mannheim. Jul. 2025. Co-Supervised. URL

[75]

U. Fischer Abaigar • C. Kern • F. Kreuter
Adjusting survey estimates with multi-accuracy post-processing.
Invited Talk @ITACOSM 2025 - Italian Conference on Survey Methodology. Bologna, Italy, Jul 01-04, 2025. Invited Talk. PDF

[74]

P. O. Schenk • C. Kern • T. D. Buskirk
Fares on Fairness: Using a Total Error Framework to Examine the Role of Measurement and Representation in Training Data on Model Fairness and Bias.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[73]

C. Strasser Ceballos • M. Novotny • C. Kern
Re-evaluating the role of refugee integration factors for building more equitable allocation algorithms.
EWAF 2025 - 4th European Workshop on Algorithmic Fairness. Eindhoven, The Netherlands, Jun 30-Jul 02, 2025. URL

[72]

S. Yuan • E. Nie • B. Ma • M. Färber
Why Lift so Heavy? Slimming Large Language Models by Cutting Off the Layers.
IJCNN 2025 - International Joint Conference on Neural Networks. Rome, Italy, Jun 30-Jul 05, 2025. DOI

[71]

C. Strasser Ceballos • C. Kern
Location matching on shaky grounds: Re-evaluating algorithms for refugee allocation.
ACM FAccT 2025 - 8th ACM Conference on Fairness, Accountability, and Transparency. Athens, Greece, Jun 23-26, 2025. DOI

[70]

C. Wu • B. Ma • Z. Zhang • N. Deng • Y. He • Y. Xue
Evaluating Zero-Shot Multilingual Aspect-Based Sentiment Analysis with Large Language Models.
International Journal of Machine Learning and Cybernetics 16.10. Jun. 2025. DOI

[69]

S. Ball • S. Allmendinger • F. Kreuter • N. Kühl
Human Preferences in Large Language Model Latent Space: A Technical Analysis on the Reliability of Synthetic Data in Voting Outcome Prediction.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. arXiv PDF

[68]

O. Kononykhina
How ML-Filtered Answer Options Shape Responses and Interactions in CATI Surveys.
AAPOR 2025 - AAPOR 80th Annual Conference on Reshaping Democracy’s Oracle: TransForming Polls, Surveys, and the Measurement of Public Opinion in the Age of Al. St. Louis, MO, USA, May 14-16, 2025. URL

[67]

C. Kern • U. Fischer-Abaigar • J. Schweisthal • D. Frauen • R. Ghani • S. Feuerriegel • M. van der Schaar • F. Kreuter
Algorithms for reliable decision-making need causal reasoning.
Nature Computational Science 5. May. 2025. DOI

[66]

R. L. Bach • C. Kern
Fairness, Justice, and Social Inequality in Machine Learning.
Preprint (May. 2025). DOI

[65]

I. Sen • B. Ma • G. Ahnert • A.-C. Haensch • T. Holtdirk • F. Kreuter • M. Strohmaier
Connecting Natural Language Processing and Survey Methodology: Potentials, Challenges, and Open Questions.
Preprint (May. 2025). DOI

[64]

A. Wuttke • M. Aßenmacher • C. Klamm • M. M. Lang • Q. Würschinger • F. Kreuter
AI Conversational Interviewing: Transforming Surveys with LLMs as Adaptive Interviewers.
LaTeCH-CLfL @NAACL 2025 - 9th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[63]

B. Ma • C. A. Huang • A.-C. Haensch
Can Large Language Models Advance Crosswalks? The Case of Danish Occupation Codes.
SRW @NAACL 2025 - Student Research Workshop at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Albuquerque, NM, USA, Apr 29-May 04, 2025. DOI

[62]

J. Simson • F. Draxler • S. Mehr • C. Kern
Preventing Harmful Data Practices by Using Participatory Input to Navigate the Machine Learning Multiverse.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[61]

C. Kern • M. P. Kim • A. Zhou
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. Journal Track. URL URL

[60]

L. von der Heyde • A.-C. Haensch • A. Wenz
Vox Populi, Vox AI? Using Language Models to Estimate German Public Opinion.
Social Science Computer Review Online First. Apr. 2025. DOI

[59]

H. Funk • R. Ludwig • H. Küchenhoff • T. Nagler
Modelling Climate Variables at High Temporal Resolution.
Preprint (Feb. 2025). DOI

[58]

J. Beck • L. M. Kemeter • K. Dürrbeck • M. H. I. Abdalla • F. Kreuter
Toward Integrating ChatGPT Into Satellite Image Annotation Workflows: A Comparison of Label Quality and Costs of Human and Automated Annotators.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 18. Jan. 2025. DOI

[57]

E. Achterhold • M. Mühlböck • N. Steiber • C. Kern
Fairness in Algorithmic Profiling: The AMAS Case.
Minds and Machines 35.9. Jan. 2025. DOI

[56]

M. Gorski • S. Wiegrebe • R. Burkhardt • M. Behr • H. Küchenhoff • K. J. Stark • C. A. Böger • I. M. Heid
Bias-corrected serum creatinine from UK Biobank electronic medical records generates an important data resource for kidney function trajectories.
Scientific Reports 15.3540. Jan. 2025. DOI

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M. Aleksic • T. Ehring • A. Kunze • Y. Han • H. Funk • L. Wolkenstein
Selective Effects of Eye Movement Desensitization and Reprocessing, Imagery Rescripting and Imaginal Exposure on Voluntary and Involuntary Memory of an Aversive Autobiographical Event.
Preprint (Jan. 2025). DOI

[54]

O. Kononykhina • M. Schierholz • F. Kreuter
The Impact of Question Framing on the Precision of Automatic Occupation Coding.
Preprint (Jan. 2025). arXiv

[53]

U. Fischer Abaigar • C. Kern • N. Barda • F. Kreuter
Bridging the gap: Towards an expanded toolkit for AI-driven decision-making in the public sector.
Government Information Quarterly 41.4. Dec. 2024. DOI

[52]

B. Ma • X. Wang • T. Hu • A.-C. Haensch • M. A. Hedderich • B. Plank • F. Kreuter
The Potential and Challenges of Evaluating Attitudes, Opinions, and Values in Large Language Models.
Findings @EMNLP 2024 - Findings of the Conference on Empirical Methods in Natural Language Processing. Miami, FL, USA, Nov 12-16, 2024. DOI

[51]

C. Kern • R. Bach • H. Mautner • F. Kreuter
When Small Decisions Have Big Impact: Fairness Implications of Algorithmic Profiling Schemes.
ACM Journal on Responsible Computing. Nov. 2024. DOI

[50]

A. Beyerlein • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Changes in Vaccination Protection Against Severe Courses of COVID-19 by Non-adapted MRNA-Based Vaccines.
Deutsches Ärzteblatt 121.24. Nov. 2024. DOI

[49]

X. Wang • C. Hu • B. Ma • P. Rottger • B. Plank
Look at the Text: Instruction-Tuned Language Models are More Robust Multiple Choice Selectors than You Think.
COLM 2024 - Conference on Language Modeling. Philadelphia, PA, USA, Oct 07-09, 2024. PDF

[48]

P. O. Schenk • C. Kern
Connecting algorithmic fairness to quality dimensions in machine learning in official statistics and survey production.
AStA Wirtschafts- und Sozialstatistisches Archiv 18. Oct. 2024. DOI

[47]

C. Kern • M. P. Kim • A. Zhou
Multi-Accurate CATE is Robust to Unknown Covariate Shifts.
Transactions on Machine Learning Research. Oct. 2024. Certifications: Featured. URL

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C. Janke • R. Rubio-Acero • M. Weigert • C. Reinkemeyer • Y. Khazaei • L. Kleinlein • R. Le Gleut • K. Radon • M. Hannes • F. Picasso • A. E. Lucke • M. Plank • I. C. Kotta • I. Paunovic • A. Zhelyazkova • I. Noreña • S. Winter • M. Hoelscher • A. Wieser • H. Küchenhoff • N. Castelletti • o. b. o. t. ORCHESTRA Working Group
Understanding the Omicron Variant Impact in Healthcare Workers: Insights from the Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf) on Risk Factors for Breakthrough and Reinfections.
Viruses 16.10. Sep. 2024. DOI

[45]

L. von der Heyde • A.-C. Haensch • A. Wenz • B. Ma
United in Diversity? Contextual Biases in LLM-Based Predictions of the 2024 European Parliament Elections.
Preprint (Sep. 2024). arXiv

[44]

B. Ma
Evaluating Lexical Aspect with Large Language Models.
CMCL @ACL 2024 - Workshop on Cognitive Modeling and Computational Linguistics at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[43]

A. Dimmelmeier • H. Doll • M. Schierholz • E. Kormanyos • M. Fehr • B. Ma • J. Beck • A. Fraser • F. Kreuter
Informing climate risk analysis using textual information - A research agenda.
ClimateNLP @ACL 2024 - 1st Workshop on Natural Language Processing Meets Climate Change at the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[42]

X. Wang • B. Ma • C. Hu • L. Weber-Genzel • P. Röttger • F. Kreuter • D. Hovy • B. Plank
My Answer is C: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models.
Findings @ACL 2024 - Findings of the 62nd Annual Meeting of the Association for Computational Linguistics. Bangkok, Thailand, Aug 11-16, 2024. DOI

[41]

S. Eckman • B. Plank • F. Kreuter
Position: Insights from Survey Methodology can Improve Training Data.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL

[40]

U. Fischer Abaigar • C. Kern • F. Kreuter
The Missing Link: Allocation Performance in Causal Machine Learning.
Workshop Humans, Algorithmic Decision-Making and Society @ICML 2024 - Workshop Humans, Algorithmic Decision-Making and Society: Modeling Interactions and Impact at the 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. arXiv URL

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C. A. Scholbeck • H. Funk • G. Casalicchio
Algorithm-Agnostic Feature Attributions for Clustering.
xAI 2024 - 2nd World Conference on Explainable Artificial Intelligence. Valletta, Malta, Jul 17-19, 2024. DOI

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J. Piller • H. Küchenhoff • A. Bender
Flexible additive models for multi-event survival analysis.
IWSM 2024 - 38th International Workshop on Statistical Modelling. Durham, UK, Jul 14-19, 2024. PDF

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E. Kraus • C. Kern
Measurement Modeling of Predictors and Outcomes in Algorithmic Fairness.
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

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J. Simson • A. Fabris • C. Kern
Unveiling the Blindspots: Examining Availability and Usage of Protected Attributes in Fairness Datasets.
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

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C. Strasser Ceballos • C. Kern
Deciding the Future of Refugees: Rolling the Dice or Algorithmic Location Assignment?
EWAF 2024 - 3rd European Workshop on Algorithmic Fairness. Mainz, Germany, Jul 01-03, 2024. PDF

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P. Resnik • B. Ma • A. Hoyle • P. Goel • R. Sarkar • M. Gearing • A.-C. Haensch • F. Kreuter
TOPCAT: Topic-Oriented Protocol for Content Analysis of Text – A Preliminary Study.
NLP+CSS @NAACL 2024 - 6th Workshop on Natural Language Processing and Computational Social Science at the Annual Conference of the North American Chapter of the Association for Computational Linguistics. Mexico City, Mexico, Jun 16-21, 2024. URL

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S. Jaime • C. Kern
Ethnic Classifications in Algorithmic Fairness: Concepts, Measures and Implications in Practice.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

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J. Simson • A. Fabris • C. Kern
Lazy Data Practices Harm Fairness Research.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[31]

J. Simson • F. Pfisterer • C. Kern
One Model Many Scores: Using Multiverse Analysis to Prevent Fairness Hacking and Evaluate the Influence of Model Design Decisions.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

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C. Kern • M. Kim • A. Zhou
Multi-CATE: Multi-Accurate Conditional Average Treatment Effect Estimation Robust to Unknown Covariate Shifts.
Preprint (May. 2024). arXiv

[29]

B. Ma • E. Nie • S. Yuan • H. Schmid • M. Färber • F. Kreuter • H. Schütze
ToPro: Token-Level Prompt Decomposition for Cross-Lingual Sequence Labeling Tasks.
EACL 2024 - 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. DOI

[28]

J. Beck • S. Eckman • B. Ma • R. Chew • F. Kreuter
Order Effects in Annotation Tasks: Further Evidence of Annotation Sensitivity.
UncertaiNLP @EACL 2024 - 1st Workshop on Uncertainty-Aware NLP at the 18th Conference of the European Chapter of the Association for Computational Linguistics. St. Julians, Malta, Mar 17-22, 2024. URL

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W. H. Hartl • P. Kopper • L. Xu • L. Heller • M. Mironov • R. Wang • A. G. Day • G. Elke • H. Küchenhoff • A. Bender
Relevance of Protein Intake for Weaning in the Mechanically Ventilated Critically Ill: Analysis of a Large International Database.
Critical Care Medicine 50.3. Mar. 2024. DOI

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Z. Zhang • H. Yang • B. Ma • D. Rügamer • E. Nie
Baby’s CoThought: Leveraging Large Language Models for Enhanced Reasoning in Compact Models.
BabyLM Challenge @CoNLL 2023) - 1st BabyLM Challenge at the 27th Conference on Computational Natural Language Learning. Singapore, Dec 06-10, 2023. DOI GitHub

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A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Langzeitveränderungen des Impfschutzes vor schweren COVID-19-Verläufen.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

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A. Beyerlein • M. Weigert • K. Katz • H. Küchenhoff • W. Hartl
Long-Term Trends in the Protection Against Severe Courses of COVID-19 by Vaccination.
Deutsches Ärzteblatt 120.51-52. Nov. 2023. DOI

[23]

I. Ziegler • B. Ma • B. Bischl • E. Dorigatti • B. Schubert
Proteasomal cleavage prediction: state-of-the-art and future directions.
Preprint (Oct. 2023). DOI GitHub

[22]

T. Kaufmann • S. Ball • J. Beck • E. Hüllermeier • F. Kreuter
On the challenges and practices of reinforcement learning from real human feedback.
HLDM @ECML-PKDD 2023 - 1st Workshop on Hybrid Human-Machine Learning and Decision Making at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Turin, Italy, Sep 18-22, 2023. DOI

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B. Ma • E. Nie • H. Schmid • H. Schütze
Is Prompt-Based Finetuning Always Better than Vanilla Finetuning? Insights from Cross-Lingual Language Understanding.
KONVENS 2023 - 19th Conference on Natural Language Processing. Ingolstadt, Germany, Sep 18-22, 2023. URL

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D. Wolffram • S. Abbott • M. an der Heiden • S. Funk • F. Günther • D. Hailer • S. Heyder • T. Hotz • J. van de Kassteele • H. Küchenhoff • S. Müller-Hansen • D. Syliqi • A. Ullrich • M. Weigert • M. Schienle • J. Bracher
Collaborative nowcasting of COVID-19 hospitalization incidences in Germany.
PLOS Computational Biology 19.8. Aug. 2023. DOI

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C. Reinkemeyer • Y. Khazaei • M. Weigert • M. Hannes • R. Le Gleut • M. Plank • S. Winter • I. Norena • T. Meier • L. Xu • R. Rubio-Acero • S. Wiegrebe • T. G. Le Thi • C. Fuchs • K. Radon • I. Paunovic • C. Janke • A. Wieser • H. Küchenhoff • M. Hoelscher • N. Castelletti • K. I. O. Working Grp
The Prospective COVID-19 Post-Immunization Serological Cohort in Munich (KoCo-Impf): Risk Factors and Determinants of Immune Response in Healthcare Workers.
Viruses 15.7. Jul. 2023. DOI

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M. Trappmann • G.-C. Haas • S. Malich • F. Keusch • S. Bähr • F. Kreuter • S. Schwarz
Augmenting survey data with digital trace data: Is there a threat to panel retention?
Journal of Survey Statistics and Methodology 11.3. Jun. 2023. DOI

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L. Zumeta-Olaskoaga • M. Weigert • J. Larruskain • E. Bikandi • I. Setuain • J. Lekue • H. Küchenhoff • D.-J. Lee
Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models.
Advances in Statistical Analysis 107. Mar. 2023. DOI

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C. Fritz • G. De Nicola • F. Günther • D. Rügamer • M. Rave • M. Schneble • A. Bender • M. Weigert • R. Brinks • A. Hoyer • U. Berger • H. Küchenhoff • G. Kauermann
Challenges in Interpreting Epidemiological Surveillance Data – Experiences from Germany.
Journal of Computational and Graphical Statistics 32.3. Dec. 2022. DOI

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I. Ziegler • B. Ma • E. Nie • B. Bischl • D. Rügamer • B. Schubert • E. Dorigatti
What cleaves? Is proteasomal cleavage prediction reaching a ceiling?
LMRL @NeurIPS 2022 - Workshop on Learning Meaningful Representations of Life at the 36th Conference on Neural Information Processing Systems. New Orleans, LA, USA, Nov 28-Dec 09, 2022. URL

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E. Pretzsch • V. Heinemann • S. Stintzing • A. Bender • S. Chen • J. W. Holch • F. O. Hofmann • H. Ren • F. Böschand • H. Küchenhoff • J. Werner • M. K. Angele
EMT-Related Genes Have No Prognostic Relevance in Metastatic Colorectal Cancer as Opposed to Stage II/III: Analysis of the Randomised, Phase III Trial FIRE-3 (AIO KRK 0306; FIRE-3).
Cancers 14.22. Nov. 2022. DOI

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C. A. Scholbeck • H. Funk • G. Casalicchio
Algorithm-Agnostic Interpretations for Clustering.
Preprint (Sep. 2022). arXiv

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C. Fritz • G. De Nicola • M. Rave • M. Weigert • Y. Khazaei • U. Berger • H. Küchenhoff • G. Kauermann
Statistical modelling of COVID-19 data: Putting generalized additive models to work.
Statistical Modelling 24.4. Aug. 2022. DOI

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M. Mittermeier • M. Weigert • D. Rügamer • H. Küchenhoff • R. Ludwig
A deep learning based classification of atmospheric circulation types over Europe: projection of future changes in a CMIP6 large ensemble.
Environmental Research Letters 17.8. Jul. 2022. DOI

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A. Bauer
Flexible approaches in functional data and age-period-cohort analysis with application on complex geoscience data.
Dissertation LMU München. Jun. 2022. DOI

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A. Bauer • M. Weigert • H. Jalal
APCtools: Descriptive and Model-based Age-Period-Cohort Analysis.
The Journal of Open Source Software 7.73. May. 2022. DOI

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K. E. Riehm • E. Badillo Goicoechea • F. M. Wang • E. Kim • L. R. Aldridge • C. P. Lupton-Smith • R. Presskreischer • T.-H. Chang • S. LaRocca • F. Kreuter • E. A. Stuart
Association of Non-Pharmaceutical Interventions to Reduce the Spread of SARS-CoV-2 With Anxiety and Depressive Symptoms: A Multi-National Study of 43 Countries.
International Journal of Public Health 67. Mar. 2022. DOI

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R. Valliant • J. A. Dever • F. Kreuter • G. Zipf
Package ‘PracTools’.
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W. Hartl • P. Kopper • A. Bender • F. Scheipl • A. G. Day • G. Elke • H. Küchenhoff
Protein intake and outcome of critically ill patients: analysis of a large international database using piece-wise exponential additive mixed models.
Critical Care 26.7. Jan. 2022. DOI

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M. Mittermeier • M. Weigert • D. Rügamer
Identifying the atmospheric drivers of drought and heat using a smoothed deep learning approach.
Tackling Climate Change with ML @NeurIPS 2021 - Workshop on Tackling Climate Change with Machine Learning at the 35th Conference on Neural Information Processing Systems. Virtual, Dec 06-14, 2021. PDF

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A. Bauer • F. Scheipl • H. Küchenhoff
Registration for Incomplete Non-Gaussian Functional Data.
Preprint (Aug. 2021). arXiv

[3]

A. M. Keppler • K. Küßner • A.-L. Schulze • E. M. Suero • C. Neuerburg • M. Weigert • C. Braun • W. Böcker • C. Kammerlander • C. Zeckey
Radiographic cortical thickness parameters as predictors of rotational alignment in proximal tibial shaft fractures: a cadaveric study.
BMC Musculoskeletal Disorders 22.590. Jun. 2021. DOI

[2]

M. Weigert • A. Bauer • J. Karl • A. Nalmpatian • H. Küchenhoff • J. Schmude
Semiparametric APC analysis of destination choice patterns: Using generalized additive models to quantify the impact of age, period, and cohort on travel distances.
Tourism Economics 28.5. Jan. 2021. DOI

[1]

J. Wrobel • A. Bauer • J. McDonnel • F. Scheipl
registr: Curve Registration for Exponential Family Functional Data. R package.
2020. GitHub

C5 | Humane AI

MCML emphasizes ML and data science research for human benefit, improving actions, automating tasks, and revealing insights. Basic ML research, though generic, offers wide applicability. In human-centered ML, we prioritize efficient human-algorithm-data interaction, expanding beyond traditional human-computer interaction to include intelligent systems and data, all within a framework of ethical considerations in AI development and deployment.

Alena Buyx

Prof. Dr.

Core PI

Ethics in Medicine and Health Technologies

Benjamin Lange

Dr.

JRG Leader Ethics of AI

Ethics of Artificial Intelligence

Sven Nyholm

Prof. Dr.

Core PI

Ethics of Artificial Intelligence

Albrecht Schmidt

Prof. Dr.

Core PI

Human-Centered Ubiquitous Media

Publications in Research Area C5

[77]

B. Lange
Calibrated Epistemic Deference to Conversational AI in Mental Healthcare.
American Journal of Bioethics. May. 2026. To be published. Preprint available. URL

[76]

B. Lange
Beziehungen mit KI.
KI und Demokratie. Apr. 2026. To be published. Preprint available. URL

[75]

B. Lange • G. Keeling • K. Pedersen • C. Heringer • S. B. Rubin • B. Zevenbergen • A. McCroskery
Epistemic Trust as a Mechanism for Ethics Integration: Failure Modes and Design Principles from 70 Moral Imagination Workshops.
Preprint (Apr. 2026). arXiv

[74]

S. Nyholm
The Ethics of Artificial Intelligence: A Philosophical Introduction.
Hackett Publishing Company. Mar. 2026. URL

[73]

B. Lange
Unilateral Relationship Revision Power in Human-AI Companion Interaction.
Preprint (Mar. 2026). arXiv

[72]

S. Nyholm • A. Kasirzadeh • J. Zerilli
Contemporary Debates in the Ethics of Artificial Intelligence.
Contemporary Debates in Philosophy. Jan. 2026. URL

[71]

R. Hakli • S. Nyholm • M. Nørskov
Introduction: Culturally Sustainable Social Robotics?
Social Robots and Cultural Sustainability. Jan. 2026. DOI

[70]

S. Nyholm
Social Robots: Culturally Sustainable or Socially Disruptive? The Case of Humanoid Robots.
Social Robots and Cultural Sustainability. Jan. 2026. DOI

[69]

M. Kiener • J. Bozenhard • G. Kutyniok • S. Nyholm
The ethics of analog AI.
AI and Ethics 6.27. Dec. 2025. DOI

[68]

D. Gong
Closing the responsibility gap: allocating responsibility according to prerequisite control and expectations for personal benefits.
Ethics and Information Technology 28.8. Dec. 2025. DOI

[67]

J. W. Grootjen • Y. Weiss • T. Daniel • F. Kahman • S. Mayer
Effects of Cataracts Severities on Eye Movements and Task Performance During a Visual Search Task Through Virtual Reality Simulations.
MUM 2025 - 24th International Conference on Mobile and Ubiquitous Multimedia. Enna, Italy, Dec 01-04, 2025. DOI

[66]

B. Lange • G. Keeling • A. Manzini • A. McCroskery
We Need Accountability in Human-AI Agent Relationships.
npj Artificial Intelligence 1.38. Nov. 2025. DOI

[65]

J. W. Grootjen
Analyzing and predicting gaze behavior of people with visual impairments.
Dissertation LMU München. Oct. 2025. DOI

[64]

M. Windl
Human-centered privacy in intelligent environments.
Dissertation LMU München. Oct. 2025. DOI

[63]

S. Nyholm
Control, personal autonomy and behaviour change technologies.
Ethics of Behaviour Change Technologies: Beyond Nudging and Persuasion. Sep. 2025. DOI

[62]

J. W. Grootjen • S. N. R. Yadla • S. Mayer
The Effects of AMD Severities on Eye Movements in Virtual Environments.
MuC 2025 - Mensch und Computer. Darmstadt, Germany, Aug 31-Sep 03, 2025. DOI

[61]

J. W. Grootjen • S. N. R. Yadla • S. Mayer
Understanding the Impact of Glaucoma Severities Through Virtual Reality Simulations.
MuC 2025 - Mensch und Computer. Darmstadt, Germany, Aug 31-Sep 03, 2025. DOI

[60]

M. Windl • O. Akgul • N. Malkin • L. F. Cranor
Privacy Solution or Menace? Investigating Perceptions of Radio-Frequency Sensing.
USENIX-Security 2025 - 34th USENIX Security Symposium. Seattle, WA, USA, Aug 13-15, 2025. URL

[59]

B. Lange • J. Brandt
The Enmity Relationship as Justified Negative Partiality.
The Ethics of Relationships: Broadening the Scope. Aug. 2025. DOI

[58]

S. Nyholm
The Future of Human Responsibility.
A Companion to Applied Philosophy of AI. Jun. 2025. DOI

[57]

S. Campell • P. Liu • S. Nyholm
Can Chatbots Preserve Our Relationships with the Dead?
Journal of the American Philosophical Association 11.2. Jun. 2025. DOI

[56]

J. W. Grootjen • F. Prummer • M. Bâce • C. Jiao • S. Jindal • A. Bulling
PETMEI: 10th Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction.
PETMEI @ETRA 2025 - 10th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Tokyo, Japan, May 26-29, 2025. DOI

[55]

N. Broestl • B. Lange • C. Voinea • G. Keeling • R. Lam
Evaluating Intra-firm LLM Alignment Strategies in Business Contexts.
Preprint (May. 2025). arXiv

[54]

S. Delgado Rodriguez • M. Windl • F. Alt • K. Marky
The TaPSI Research Framework - A Systematization of Knowledge on Tangible Privacy and Security Interfaces.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[53]

J. Leusmann • A. Belardinelli • L. Haliburton • S. Hasler • A. Schmidt • S. Mayer • M. Gienger • C. Wang
Investigating LLM-Driven Curiosity in Human-Robot Interaction.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[52]

T. Mitrevska • F. Chiossi • S. Mayer
ERP Markers of Visual and Semantic Processing in AI-Generated Images: From Perception to Meaning.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[51]

M. Windl • R. Amberg • T. Kosch
The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking Protection.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[50]

M. Windl • P. Z. Laboda • S. Mayer
Designing Effective Consent Mechanisms for Spontaneous Interactions in Augmented Reality.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[49]

M. Windl • P. Thalhammer • D. Müller • A. Schmidt • S. S. Feger
PrivacyHub: A Functional Tangible and Digital Ecosystem for Interoperable Smart Home Privacy Awareness and Control.
CHI 2025 - ACM CHI Conference on Human Factors in Computing Systems. Yokohama, Japan, Apr 26-May 01, 2025. DOI

[48]

B. Lange
Beyond the Ivory Tower? The Practical Role of Ethicists in Business.
Artificial Intelligence, Entrepreneurship and Risk. Technikzukünfte, Wissenschaft und Gesellschaft / Futures of Technology, Science and Society. Apr. 2025. DOI

[47]

C. Hurshman • C. Voinea • W. Constantinescu • F. Feroz • S. Hongladarom • P. Jurcys • A. Kozlovski • B. Lange • P. Liu • J. Menikoff • S. Nyholm • A. Puzio • P. Sweeney • B. G. Sharma • E. Schwitzgebel • C. Vica • D. E. Weissglass • A. Zahiu • J. Savulescu • W. Sinnott-Armstrong • S. P. Mann • B. D. Earp
Beyond Deepfakes: 'Digital duplicates' or AI Simulations of Real People-An International Ethical Consensus.
Preprint (Mar. 2025). DOI

[46]

B. D. Earp • S. P. Mann • M. Aboy • E. Awad • M. Betzler • M. Botes • R. Calcott • M. Caraccio • N. Chater • M. Coeckelbergh • M. Constantinescu • H. Dabbagh • K. Devlin • X. Ding • V. Dranseika • J. A. C. Everett • R. Fan • F. Feroz • K. B. Francis • C. Friedman • O. Friedrich • I. Gabriel • I. Hannikainen • J. Hellmann • A. K. Jahrome • N. S. Janardhanan • P. Jurcys • A. Kappes • M. A. Khan • G. Kraft-Todd • M. Kroner Dale • S. M. Laham • B. Lange • M. Leuenberger • J. Lewis • P. Liu • D. M. Lyreskog • M. Maas • J. McMillan • E. Mihailov • T. Minssen • J. Teperowski Monrad • K. Muyskens • S. Myers • S. Nyholm • A. M. Owen • A. Puzio • C. Register • M. G. Reinecke • A. Safron • H. Shevlin • H. Shimizu • P. V. Treit • C. Voinea • K. Yan • A. Zahiu • R. Zhang • H. Zohny • W. Sinnott-Armstrong • I. Singh • J. Savulescu • M. S. Clark
Relational Norms for Human-AI Cooperation.
Preprint (Feb. 2025). arXiv

[45]

B. Lange
Moral parenthood and gestation: replies to Cordeiro, Murphy, Robinson and Baron.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[44]

B. Lange
Moral parenthood: not gestational.
Journal of Medical Ethics 51.2. Jan. 2025. DOI

[43]

B. Lange
Digital Duplicates and Collective Scarcity.
Philosophy and Technology 38.7. Jan. 2025. DOI

[42]

H. Weingärtner • M. Windl • L. L. Chuang • F. Draxler
Useful but Distracting: Viewer Experience with Keyword Highlights and Time-Synchronization in Captions for Language Learning.
MUM 2024 - 23rd International Conference on Mobile and Ubiquitous Multimedia. Stockholm, Sweden, Dec 01-04, 2024. DOI

[41]

S. Nyholm
Digital Duplicates and Personal Scarcity: Reply to Voinea et al and Lundgren.
Philosophy and Technology 37.132. Nov. 2024. DOI

[40]

B. Lange
Epistemic Deference to AI.
AISoLA 2024 - 2nd International Conference on Bridging the Gap Between AI and Reality. Crete, Greece, Oct 30-Nov 03, 2024. DOI

[39]

G. Keeling • B. Lange • A. McCroskery • K. Pedersen • D. Weinberger • B. Zevenbergen
Moral Imagination for Engineering Teams: The Technomoral Scenario.
The International Review of Information Ethics 34.1. Oct. 2024. DOI

[38]

F. Chiossi • U. Gruenefeld • B. J. Hou • J. Newn • C. Ou • R. Liao • R. Welsch • S. Mayer
Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[37]

J. W. Grootjen • P. Thallhammer • T. Kosch
Your Eyes on Speed: Using Pupil Dilation to Adaptively Select Speed-Reading Parameters in Virtual Reality.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI GitHub

[36]

Y. Weiss • S. Villa • J. W. Grootjen • M. Hoppe • Y. Kale • F. Müller
Exploring Redirection and Shifting Techniques to Mask Hand Movements from Shoulder-Surfing Attacks during PIN Authentication in Virtual Reality.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[35]

M. Windl • M. Schlegel • S. Mayer
Exploring Users’ Mental Models and Privacy Concerns During Interconnected Interactions.
MobileHCI 2024 - ACM International Conference on Mobile Human-Computer Interaction. Melbourne, Australia, Sep 30-Oct 03, 2024. DOI

[34]

L. Haliburton • J. Leusmann • R. Welsch • S. Ghebremedhin • P. Isaakidis • A. Schmidt • S. Mayer
Uncovering labeler bias in machine learning annotation tasks.
AI and Ethics 5.3. Sep. 2024. DOI

[33]

W. Jiang • M. Windl • B. Tag • Z. Sarsenbayeva • S. Mayer
An Immersive and Interactive VR Dataset to Elicit Emotions.
IEEE Transactions on Visualization and Computer Graphics 30.11. Sep. 2024. DOI

[32]

M. Windl • J. Leusmann • A. Schmidt • S. S. Feger • S. Mayer
Privacy Communication Patterns for Domestic Robots.
SOUPS 2024 - 20th Symposium on Usable Privacy and Security. Philadelphia, PA, USA, Aug 11-13, 2024. IAPP SOUPS Privacy Award. URL

[31]

L. Haliburton
Designing behavior change technologies for workplace wellbeing.
Dissertation LMU München. Jul. 2024. DOI

[30]

M. Windl • S. S. Feger
Designing Interactive Privacy Labels for Advanced Smart Home Device Configuration Options.
DIS 2024 - ACM Conference on Designing Interactive Systems. Copenhagen, Denmark, Jul 01-05, 2024. DOI

[29]

S. Milano • S. Nyholm
Advanced AI assistants that act on our behalf may not be ethically or legally feasible.
Nature Machine Intelligence 6. Jul. 2024. DOI

[28]

F. Poszler • B. Lange
The impact of intelligent decision-support systems on humans' ethical decision-making: A systematic literature review and an integrated framework.
Technological Forecasting and Social Change 204.123403. Jul. 2024. DOI

[27]

L. Haliburton • S. Ghebremedhin • R. Welsch • A. Schmidt • S. Mayer
Investigating Labeler Bias in Face Annotation for Machine Learning.
HHAI 2024 - 3rd International Conference on Hybrid Human-Artificial Intelligence. Malmö, Sweden, Jun 10-14, 2024. DOI

[26]

J. W. Grootjen • H. Weingärtner • S. Mayer
Investigating the Effects of Eye-Tracking Interpolation Methods on Model Performance of LSTM.
PETMEI @ETRA 2024 - 9th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Glasgow, Scotland, Jun 04-07, 2024. DOI

[25]

K. Lam • B. Lange • B. Blili-Hamelin • J. Davidovic • S. Brown • A. Hasan
A Framework for Assurance Audits of Algorithmic Systems.
ACM FAccT 2024 - 7th ACM Conference on Fairness, Accountability, and Transparency. Rio de Janeiro, Brazil, Jun 03-06, 2024. DOI

[24]

J. W. Grootjen • H. Weingärtner • S. Mayer
Uncovering and Addressing Blink-Related Challenges in Using Eye Tracking for Interactive Systems.
CHI 2024 - ACM CHI Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[23]

L. Haliburton • I. Damen • C. Lallemand • A. Ahtinen • J. Niess • P. W. Woźniak
Office Wellbeing by Design: Don’t Stand for Anything Less.
CHI 2024 - ACM CHI Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[22]

L. Haliburton • D. J. Grüning • F. Riedel • A. Schmidt • N. Terzimehić
A Longitudinal In-the-Wild Investigation of Design Frictions to Prevent Smartphone Overuse.
CHI 2024 - ACM CHI Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[21]

S. Sakel • T. Blenk • A. Schmidt • L. Haliburton
The Social Journal: Investigating Technology to Support and Reflect on Meaningful Social Interactions.
CHI 2024 - ACM CHI Conference on Human Factors in Computing Systems. Honolulu, Hawaii, May 11-16, 2024. DOI

[20]

R. van Koningsbruggen • L. Haliburton • B. Rossmy • C. George • E. Hornecker • B. Hengeveld
Metaphors and `Tacit' Data: the Role of Metaphors in Data and Physical Data Representations.
TEI 2024 - 18th International Conference on Tangible, Embedded, and Embodied Interaction. Cork, Ireland, Feb 11-14, 2024. DOI

[19]

L. Haliburton • B. Rossmy • A. Schmidt • C. George
An Exploration of Hidden Data: Identifying and Physicalizing Personal Virtual Data to Extend Co-located Communication.
MUM 2023 - 22nd International Conference on Mobile and Ubiquitous Multimedia. Vienna, Austria, Dec 03-06, 2023. DOI

[18]

B. H. Lang • S. Nyholm • J. Blumenthal-Barby
Responsibility Gaps and Black Box Healthcare Ai: Shared Responsibilization as a Solution.
Digital Society 2.52. Nov. 2023. DOI

[17]

J. Smids • H. Berkers • P. Le Blanc • S. Rispens • S. Nyholm
Employers Have a Duty of Beneficence to Design for Meaningful Work: A General Argument and Logistics Warehouses as a Case Study.
The Journal of Ethics. Oct. 2023. DOI

[16]

L. Haliburton • B. Pirker • P. Holinski • A. Schmidt • P. W. Wozniak • M. Hoppe
VR-Hiking: Physical Exertion Benefits Mindfulness and Positive Emotions in Virtual Reality.
MobileHCI 2023 - ACM International Conference on Mobile Human-Computer Interaction. Athens, Greece, Sep 26-29, 2023. DOI

[15]

S. Nyholm
Is Academic Enhancement Possible by Means of Generative Ai-Based Digital Twins?
American Journal of Bioethics 23.10. Sep. 2023. DOI

[14]

M. Windl • A. Scheidle • C. George • S. Mayer
Investigating Security Indicators for Hyperlinking Within the Metaverse.
SOUPS 2023 - 19th Symposium on Usable Privacy and Security. Anaheim, CA, USA, Aug 06-08, 2023. URL

[13]

F. Draxler • A. Schmidt • L. L. Chuang
Relevance, Effort, and Perceived Quality: Language Learners’ Experiences with AI-Generated Contextually Personalized Learning Material.
DIS 2023 - ACM Conference on Designing Interactive Systems. Pittsburgh, PA, USA, Jul 10-14, 2023. DOI

[12]

L. Haliburton • S. Kheirinejad • A. Schmidt • S. Mayer
Exploring Smart Standing Desks to Foster a Healthier Workplace.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7.2. Jun. 2023. DOI

[11]

J. W. Grootjen • H. Weingärtner • S. Mayer
Highlighting the Challenges of Blinks in Eye Tracking for Interactive Systems.
PETMEI @ETRA 2023 - 8th International Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction at the ACM Symposium on Eye Tracking Research and Applications. Tübingen, Germany, May 30-Jun 02, 2023. DOI

[10]

M. Rusu • S. Mayer
Deep Learning Super-Resolution Network Facilitating Fiducial Tangibles on Capacitive Touchscreens.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[9]

M. Windl • A. Schmidt • S. S. Feger
Investigating Tangible Privacy-Preserving Mechanisms for Future Smart Homes.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[8]

M. Windl • V. Winterhalter • A. Schmidt • S. Mayer
Understanding and Mitigating Technology-Facilitated Privacy Violations in the Physical World.
CHI 2023 - ACM CHI Conference on Human Factors in Computing Systems. Hamburg, Germany, Apr 23-28, 2023. DOI

[7]

L. Haliburton • S. Y. Schött • L. Hirsch • R. Welsch • A. Schmidt
Feeling the Temperature of the Room: Unobtrusive Thermal Display of Engagement during Group Communication.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7.2. Mar. 2023. DOI

[6]

D. Bethge • L. F. Coelho • T. Kosch • S. Murugaboopathy • U. von Zadow • A. Schmidt • T. Grosse-Puppendahl
Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6.4. Dec. 2022. DOI

[5]

J. Ullerich • M. Windl • A. Bulling • S. Mayer
ThumbPitch: Enriching Thumb Interaction on Mobile Touchscreens using Deep Learning.
OZCHI 2022 - 34th Australian Conference on Human-Computer Interaction. Canberra, Australia, Nov 29-Dec 02, 2022. DOI

[4]

M. Windl • A. Hiesinger • R. Welsch • A. Schmidt • S. S. Feger
SaferHome: Interactive Physical and Digital Smart Home Dashboards for Communicating Privacy Assessments to Owners and Bystanders.
ISS 2022 - ACM Interactive Surfaces and Spaces Conference. Wellington, New Zealand, Nov 20-23, 2022. DOI

[3]

M. Windl • S. Mayer
The Skewed Privacy Concerns of Bystanders in Smart Environments.
MobileHCI 2022 - ACM International Conference on Mobile Human-Computer Interaction. Vancouver, Canada, Sep 28-Oct 01, 2022. DOI

[2]

M. Windl • S. S. Feger • L. Zijlstra • A. Schmidt • P. W. Wozniak
‘It Is Not Always Discovery Time’: Four Pragmatic Approaches in Designing AI Systems.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI

[1]

M. Windl • N. Henze • A. Schmidt • S. S. Feger
Automating Contextual Privacy Policies: Design and Evaluation of a Production Tool for Digital Consumer Privacy Awareness.
CHI 2022 - ACM CHI Conference on Human Factors in Computing Systems. New Orleans, LA, USA, Apr 30-May 05, 2022. DOI

Learn More About Our Other Research Areas or Checkout Our Publications

A | Foundations of Machine Learning

aims at strengthening the competence in Statistical Foundations and Explainability, Mathematical Foundations, and Computational Methods. These fields form the basis for all methodological advances.

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B | Perception, Vision, and Natural Language Processing

forms a dynamic research domain at the intersection of computer science and cognitive sciences. This field explores the synergies between diverse sensory inputs, visual information processing, and language understanding.

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Publications

Check out the publications by our members.

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2022-12-29 - Last modified: 2026-02-04

C | Domain-Specific Machine Learning

C1 | Medicine

C2 | Biology

C3 | Physics and Geo Sciences

C4 | Computational Social Sciences

C5 | Humane AI

A | Foundations of Machine Learning

B | Perception, Vision, and Natural Language Processing

Publications