Research Group Daniel Rückert
Daniel Rückert
Prof. Dr.
Director
Daniel Rückert
is Alexander von Humboldt Professor for AI in Medicine and Healthcare at TU Munich. He is also a Professor at Imperial College London.
He gained a MSc from Technical University Berlin in 1993, a PhD from Imperial College in 1997, followed by a post-doc at King’s College London. In 1999 he joined Imperial College as a Lecturer, becoming Senior Lecturer in 2003 and full Professor in 2005. From 2016 to 2020 he served as Head of the Department of Computing at Imperial College. His field of research is the area of Artificial Intelligence and Machine Learning and their application to medicine and healthcare. In 2025, he received Germany’s highest research honor, the prestigious Gottfried Wilhelm Leibniz Prize for his groundbreaking work in AI-assisted medical imaging.
Team members @MCML
PostDocs
Raphael Rehms
Dr.
Thomas Bayes Fellow
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Julian Suk
Dr.
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
PhD Students
Varma Aswathi
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Niklas Bubeck
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Laurin Lux
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
David Mildenberger
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Nil Stolt-Ansó
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Reihaneh Torkzadehmahani
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Clara Sophie Vetter
→ Group Daniel Rückert
Artificial Intelligence in Healthcare and Medicine
Recent News @MCML
Publications @MCML
2025
[82]
V. Biller • L. Zimmer • C. Erdur • S. Nagar • D. Rückert • N. Bubeck • J. Weidner
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
Preprint (Oct. 2025). arXiv GitHub
A Biophysically-Conditioned Generative Framework for 3D Brain Tumor MRI Synthesis.
Preprint (Oct. 2025). arXiv GitHub
[81]
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
Independent Benchmarking of Prompt-Based Medical Segmentation Models.
Preprint (Oct. 2025). DOI
[80]
L. Kreitner • P. Hager • J. Mengedoht • G. Kaissis • D. Rückert • M. J. Menten
Efficient numeracy in language models through single-token number embeddings.
Preprint (Oct. 2025). arXiv
Efficient numeracy in language models through single-token number embeddings.
Preprint (Oct. 2025). arXiv
[79]
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub
Evaluation of Deformable Image Registration Under Alignment-Regularity Trade-Off.
BRIDGE @MICCAI 2025 - Workshop on Bridging Regulatory Science and Medical AI at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI GitHub
[78]
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. arXiv
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. To be published. Preprint available. arXiv
[77]
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
Redefining spectral unmixing for in-vivo brain tissue analysis from hyperspectral imaging.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
[76]
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
A Lightweight Optimization Framework for Estimating 3D Brain Tumor Infiltration.
CMMCA @MICCAI 2025 - Workshop on Computational Mathematics Modeling in Cancer Analysis at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
[75]
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 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
Reconstruct or Generate: Exploring the Spectrum of Generative Modeling for Cardiac MRI.
DGM4 @MICCAI 2025 - 5th Deep Generative Models Workshop at 28th International Conference on Medical Image Computing and Computer Assisted Intervention. Daejeon, Republic of Korea, Sep 23-27, 2025. DOI
[74]
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
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
[73]
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
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
[72]
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
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
[71]
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
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
[70]
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
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
[69]
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 in 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
Physics-Informed Joint Multi-TE Super-Resolution with Implicit Neural Representation for Robust Fetal T2 Mapping.
PIPPI @MICCAI 2025 - 10th Workshop in 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
[68]
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
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
[67]
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
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
[66]
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.
Preprint (Sep. 2025). arXiv
MultiMAE for Brain MRIs: Robustness to Missing Inputs Using Multi-Modal Masked Autoencoder.
Preprint (Sep. 2025). arXiv
[65]
C. Liu • Y. Chen • H. Shi • J. Lu • B. Jian • J. Pan • L. Cai • J. Wang • Y. Zhang • J. Li • C. I. Bercea • C. Ouyang • C. Chen • Z. Xiong • B. Wiestler • C. Wachinger • D. Rückert • W. Bai • R. Arcucci
Does DINOv3 Set a New Medical Vision Standard?
Preprint (Sep. 2025). arXiv
Does DINOv3 Set a New Medical Vision Standard?
Preprint (Sep. 2025). arXiv
[64]
S. Starck • V. Sideri-Lampretsa • B. Kainz • M. J. Menten • T. T. Mueller • D. Rückert
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
IEEE Transactions on Medical Imaging Early Access. Aug. 2025. DOI
Diff-Def: Diffusion-Generated Deformation Fields for Conditional Atlases.
IEEE Transactions on Medical Imaging Early Access. Aug. 2025. DOI
[63]
F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable image registration of dark-field chest radiographs for functional lung assessment.
Medical Physics 52.8. Aug. 2025. DOI
Deformable image registration of dark-field chest radiographs for functional lung assessment.
Medical Physics 52.8. Aug. 2025. DOI
[62]
R. Holland • T. R. P. Taylor • C. Holmes • S. Riedl • J. Mai • M. Patsiamanidi • D. Mitsopoulou • P. Hager • P. Müller • J. C. Paetzold • H. P. N. Scholl • H. Bogunović • U. Schmidt-Erfurth • D. Rückert • S. Sivaprasad • A. J. Lotery • M. J. Menten • O. b. o. t. PINNACLE consortium
Specialized curricula for training vision language models in retinal image analysis.
npj Digital Medicine 8.532. Aug. 2025. DOI
Specialized curricula for training vision language models in retinal image analysis.
npj Digital Medicine 8.532. Aug. 2025. DOI
[61]
N. Bubeck • S. Shit • C. Chen • C. Zhao • P. Guo • D. Yang • G. Zitzlsberger • D. Xu • B. Kainz • D. Rückert • J. Pan
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
Preprint (Aug. 2025). arXiv
Latent Interpolation Learning Using Diffusion Models for Cardiac Volume Reconstruction.
Preprint (Aug. 2025). arXiv
[60]
T. Mach • D. Rückert • A. Berger • L. Lux • I. Ezhov
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
Preprint (Aug. 2025). arXiv
Addressing Annotation Scarcity in Hyperspectral Brain Image Segmentation with Unsupervised Domain Adaptation.
Preprint (Aug. 2025). arXiv
[59]
J. Pan • B. Jian • P. Hager • Y. Zhang • C. Liu • F. Jungmann • H. B. Li • C. You • J. Wu • J. Zhu • F. Liu • Y. Liu • N. Bubeck • C. Wachinger • C. Chen • Z. Gong • C. Ouyang • G. Kaissis • B. Wiestler • D. Rückert
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
Preprint (Aug. 2025). arXiv
Beyond Benchmarks: Dynamic, Automatic And Systematic Red-Teaming Agents For Trustworthy Medical Language Models.
Preprint (Aug. 2025). arXiv
[58]
K. Yang • F. Musio • Y. Ma • N. Juchler • J. C. Paetzold • R. Al-Maskari • L. Höher • H. B. Li • I. E. Hamamci • A. Sekuboyina • S. Shit • H. Huang • C. Prabhakar • E. de la Rosa • B. Wittmann • D. Waldmannstetter • F. Kofler • F. Navarro • M. J. Menten • I. Ezhov • D. Rückert • I. N. Vos • Y. M. Ruigrok • B. K. Velthuis • H. J. Kuijf • P. Shi • W. Liu • T. Ma • M. R. Rokuss • Y. Kirchhoff • F. Isensee • K. Maier-Hein • C. Zhu • H. Zhao • P. Bijlenga • J. Hämmerli • C. Wurster • L. Westphal • J. Bisschop • E. Colombo • H. Baazaoui • H.-L. Handelsmann • A. Makmur • J. Hallinan • A. Soundararajan • B. Wiestler • J. S. Kirschke • R. Wiest • E. Montagnon • L. Letourneau-Guillon • K. Oh • D. Lee • A. Hilbert • O. U. Aydin • D. Rallios • J. Rieger • S. Tanioka • A. Koch • D. Frey • A. Qayyum • M. Mazher • S. Niederer • N. Disch • J. Holzschuh • D. LaBella • F. Galati • D. Falcetta • M. A. Zuluaga • C. Lin • H. Zhao • Z. Zhang • M. Zhang • X. You • H. Zhang • G.-Z. Yang • Y. Gu • S. Ra • J. Hwang • H. Park • J. Chen • M. Wodzinski • H. Müller • N. Mansouri • F. Autrusseau • C. Yalçin • R. E. Hamadache • C. Lisazo • J. Salvi • A. Casamitjana • X. Lladó • U. M. Lal-Trehan Estrada • V. Abramova • L. Giancardo • A. Oliver • P. Casademunt • A. Galdran • M. Delucchi • J. Liu • H. Huang • Y. Cui • Z. Lin • Y. Liu • S. Zhu • T. R. Patel • A. H. Siddiqui • V. M. Tutino • M. Orouskhani • H. Wang • M. Mossa-Basha • Y. Sato • S. Hirsch • S. Wegener • B. Menze
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
Preprint (Jul. 2025). arXiv
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA.
Preprint (Jul. 2025). arXiv
[57]
D. Mildenberger • P. Hager • D. Rückert • M. J. Menten
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI
A Tale of Two Classes: Adapting Supervised Contrastive Learning to Binary Imbalanced Datasets.
CVPR 2025 - IEEE/CVF Conference on Computer Vision and Pattern Recognition. Nashville, TN, USA, Jun 11-15, 2025. DOI
[56]
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
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
[55]
C. S. Vetter • A. Bender • D. B. Dwyer • M. Montembeault • A. Ruef • K. Chrisholm • L. Kambeitz-Ilankovic • L. A. Antonucci • S. Ruhrmann • J. Kambeitz • M. Lichtenstein • A. Riecher • R. Upthegrove • R. K. R. Salokangas • J. Hietala • C. Pantelis • R. Lencer • E. Meisenzahl • S. Wood • P. Brambilla • S. Borgwardt • P. Falkai • A. Bertolino • N. Koutsouleris • PRONIA Consortium
Exploring the Predictive Value of Structural Covariance Networks for the Diagnosis of Schizophrenia.
Frontiers in Psychiatry 16. Jun. 2025. DOI
Exploring the Predictive Value of Structural Covariance Networks for the Diagnosis of Schizophrenia.
Frontiers in Psychiatry 16. Jun. 2025. DOI
[54]
C. J. Mertens • H. Häntze • S. Ziegelmayer • J. N. Kather • D. Truhn • S. H. Kim • F. Busch • D. Weller • B. Wiestler • M. Graf • F. Bamberg • C. L. Schlett • J. B. Weiss • S. Ringhof • E. Can • J. Schulz-Menger • T. Niendorf • J. Lammert • I. Molwitz • A. Kader • A. Hering • A. Meddeb • J. Nawabi • M. B. Schulze • T. Keil • S. N. Willich • L. Krist • M. Hadamitzky • A. Hannemann • F. Bassermann • D. Rückert • T. Pischon • A. Hapfelmeier • M. R. Makowski • K. K. Bressem • L. C. Adams
Deep learning-enabled MRI phenotyping uncovers regional body composition heterogeneity and disease associations in two European population cohorts.
Preprint (Jun. 2025). DOI
Deep learning-enabled MRI phenotyping uncovers regional body composition heterogeneity and disease associations in two European population cohorts.
Preprint (Jun. 2025). DOI
[53]
A. H. Berger • L. Lux • A. Weers • M. J. Menten • D. Rückert • J. C. Paetzold
Pitfalls of topology-aware image segmentation.
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI
Pitfalls of topology-aware image segmentation.
IPMI 2025 - Information Processing in Medical Imaging. Kos Island, Greece, May 25-30, 2025. DOI
[52]
S. Lockfisch • K. Schwethelm • M. J. Menten • R. Braren • D. Rückert • A. Ziller • G. Kaissis
On Arbitrary Predictions from Equally Valid Models.
Preprint (May. 2025). arXiv
On Arbitrary Predictions from Equally Valid Models.
Preprint (May. 2025). arXiv
[51]
S. Dahan • G. Bénédict • L. Z. J. Williams • Y. Guo • D. Rückert • R. Leech • E. C. Robinson
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL GitHub
[50]
J. Kaiser • K. Schwethelm • D. Rückert • G. Kaissis
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Laplace Sample Information: Data Informativeness Through a Bayesian Lens.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[49]
L. Lux • A. H. Berger • A. Weers • N. Stucki • D. Rückert • U. Bauer • J. C. Paetzold
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
Topograph: An efficient Graph-Based Framework for Strictly Topology Preserving Image Segmentation.
ICLR 2025 - 13th International Conference on Learning Representations. Singapore, Apr 24-28, 2025. URL
[48]
Ö. Turgut • P. Müller • P. Hager • S. Shit • S. Starck • M. J. Menten • E. Martens • D. Rückert
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.
Medical Image Analysis 101.103451. Apr. 2025. DOI GitHub
Unlocking the diagnostic potential of electrocardiograms through information transfer from cardiac magnetic resonance imaging.
Medical Image Analysis 101.103451. Apr. 2025. DOI GitHub
[47]
K. Schwethelm • J. Kaiser • M. Knolle • S. Lockfisch • D. Rückert • A. Ziller
Visual Privacy Auditing with Diffusion Models.
Transactions on Machine Learning Research. Mar. 2025. URL
Visual Privacy Auditing with Diffusion Models.
Transactions on Machine Learning Research. Mar. 2025. URL
[46]
R. Rehms • N. Ellenbach • V. Deffner • S. Hoffmann
Addressing complex structures of measurement error arising in the exposure assessment in occupational epidemiology using a Bayesian hierarchical approach.
Preprint (Mar. 2025). arXiv
Addressing complex structures of measurement error arising in the exposure assessment in occupational epidemiology using a Bayesian hierarchical approach.
Preprint (Mar. 2025). arXiv
[45]
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.
Preprint (Mar. 2025). arXiv GitHub
From Pixels to Histopathology: A Graph-Based Framework for Interpretable Whole Slide Image Analysis.
Preprint (Mar. 2025). arXiv GitHub
[44]
A. H. Berger • L. Lux • S. Shit • I. Ezhov • G. Kaissis • M. J. Menten • D. Rückert • J. C. Paetzold
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI
Cross-Domain and Cross-Dimension Learning for Image-to-Graph Transformers.
WACV 2025 - IEEE/CVF Winter Conference on Applications of Computer Vision. Tucson, AZ, USA, Feb 28-Mar 04, 2025. DOI
[43]
C. I. Bercea • B. Wiestler • D. Rückert • J. A. Schnabel
Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging.
Nature Communications 16.1624. Feb. 2025. DOI GitHub
Evaluating normative representation learning in generative AI for robust anomaly detection in brain imaging.
Nature Communications 16.1624. Feb. 2025. DOI GitHub
[42]
Ö. Turgut • F. S. Bott • M. Ploner • D. Rückert
Are foundation models useful feature extractors for electroencephalography analysis?
Preprint (Feb. 2025). arXiv
Are foundation models useful feature extractors for electroencephalography analysis?
Preprint (Feb. 2025). arXiv
[41]
F. Drexel • V. Sideri-Lampretsa • H. Bast • A. W. Marka • T. Koehler • F. T. Gassert • D. Pfeiffer • D. Rückert • F. Pfeiffer
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment.
Preprint (Jan. 2025). arXiv
Deformable Image Registration of Dark-Field Chest Radiographs for Local Lung Signal Change Assessment.
Preprint (Jan. 2025). arXiv
[40]
Z. Haouari • J. Weidner • I. Ezhov • A. Varma • D. Rückert • B. Menze • B. Wiestler
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models.
Preprint (Jan. 2025). arXiv
Efficient Deep Learning-based Forward Solvers for Brain Tumor Growth Models.
Preprint (Jan. 2025). arXiv
[39]
B. Jian • J. Pan • Y. Li • F. Bongratz • R. Li • D. Rückert • B. Wiestler • C. Wachinger
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.
Preprint (Jan. 2025). arXiv
TimeFlow: Longitudinal Brain Image Registration and Aging Progression Analysis.
Preprint (Jan. 2025). arXiv
2024
[38]
A. Reithmeir • V. Spieker • V. Sideri-Lampretsa • D. Rückert • J. A. Schnabel • V. A. Zimmer
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review.
Preprint (Dec. 2024). arXiv
From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review.
Preprint (Dec. 2024). arXiv
[37]
M. Szép • D. Rückert • R. Eisenhart-Rothe • F. Hinterwimmer
A Practical Guide to Fine-tuning Language Models with Limited Data.
Preprint (Nov. 2024). arXiv
A Practical Guide to Fine-tuning Language Models with Limited Data.
Preprint (Nov. 2024). arXiv
[36]
A. Riess • A. Ziller • S. Kolek • D. Rückert • J. A. Schnabel • G. Kaissis
Complex-Valued Federated Learning with Differential Privacy and MRI Applications.
DeCaF @MICCAI 2024 - 5th Workshop on Distributed, Collaborative and Federated Learning at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
Complex-Valued Federated Learning with Differential Privacy and MRI Applications.
DeCaF @MICCAI 2024 - 5th Workshop on Distributed, Collaborative and Federated Learning at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
[35]
A. Banaszak • A. H. Berger • L. Lux • S. Shit • D. Rückert • J. C. Paetzold
Supervised Contrastive Learning for Image-to-Graph Transformers.
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
Supervised Contrastive Learning for Image-to-Graph Transformers.
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
[34]
L. Lux • A. H. Berger • M. Romeo-Tricas • M. J. Menten • D. Rückert • J. C. Paetzold
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
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
[33]
A. H. Berger • L. Lux • N. Stucki • V. Bürgin • S. Shit • A. Banaszaka • D. Rückert • U. Bauer • J. C. Paetzold
Topologically faithful multi-class segmentation in medical images.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
Topologically faithful multi-class segmentation in medical images.
MICCAI 2024 - 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
[32]
J. Li • S. H. Kim • P. Müller • L. Felsner • D. Rückert • B. Wiestler • J. A. Schnabel • C. I. Bercea
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability.
MMMI @MICCAI 2024 - 5th International Workshop on Multiscale Multimodal Medical Imaging at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub
Language Models Meet Anomaly Detection for Better Interpretability and Generalizability.
MMMI @MICCAI 2024 - 5th International Workshop on Multiscale Multimodal Medical Imaging at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI GitHub
[31]
B. Jian • J. Pan • M. Ghahremani • D. Rückert • C. Wachinger • B. Wiestler
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
Mamba? Catch The Hype Or Rethink What Really Helps for Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI
[30]
F. Kögl • A. Reithmeir • V. Sideri-Lampretsa • I. Machado • R. Braren • D. Rückert • J. A. Schnabel • V. A. Zimmer
General Vision Encoder Features as Guidance in Medical Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL
General Vision Encoder Features as Guidance in Medical Image Registration.
WBIR @MICCAI 2024 - 11th International Workshop on Biomedical Image Registration at the 27th International Conference on Medical Image Computing and Computer Assisted Intervention. Marrakesh, Morocco, Oct 06-10, 2024. DOI URL
[29]
P. Müller • G. Kaissis • D. Rückert
ChEX: Interactive Localization and Region Description in Chest X-rays.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
ChEX: Interactive Localization and Region Description in Chest X-rays.
ECCV 2024 - 18th European Conference on Computer Vision. Milano, Italy, Sep 29-Oct 04, 2024. DOI GitHub
[28]
D. Schalk • R. Rehms • V. S. Hoffmann • B. Bischl • U. Mansmann
Distributed non-disclosive validation of predictive models by a modified ROC-GLM.
BMC Medical Research Methodology 24.190. Aug. 2024. DOI
Distributed non-disclosive validation of predictive models by a modified ROC-GLM.
BMC Medical Research Methodology 24.190. Aug. 2024. DOI
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A. C. Erdur • D. Rusche • D. Scholz • J. Kiechle • S. Fischer • Ó. Llorián-Salvador • J. A. Buchner • M. Q. Nguyen • L. Etzel • J. Weidner • M.-C. Metz • B. Wiestler • J. A. Schnabel • D. Rückert • S. E. Combs • J. C. Peeken
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
Strahlentherapie und Onkologie 201. Aug. 2024. DOI GitHub
Deep learning for autosegmentation for radiotherapy treatment planning: State-of-the-art and novel perspectives.
Strahlentherapie und Onkologie 201. Aug. 2024. DOI GitHub
[26]
G. Kaissis • S. Kolek • B. Balle • J. Hayes • D. Rückert
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
Beyond the Calibration Point: Mechanism Comparison in Differential Privacy.
ICML 2024 - 41st International Conference on Machine Learning. Vienna, Austria, Jul 21-27, 2024. URL
[25]
M. Keicher • K. Zaripova • T. Czempiel • K. Mach • A. Khakzar • N. Navab
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays.
MIDL 2024 - Medical Imaging with Deep Learning. Paris, France, Jul 03-05, 2024. URL
FlexR: Few-shot Classification with Language Embeddings for Structured Reporting of Chest X-rays.
MIDL 2024 - Medical Imaging with Deep Learning. Paris, France, Jul 03-05, 2024. URL
[24]
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
Retinal small vessel pathology is associated with disease burden in multiple sclerosis.
Multiple Sclerosis Journal 30.7. Jun. 2024. DOI
[23]
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
Reconciling privacy and accuracy in AI for medical imaging.
Nature Machine Intelligence 6. Jun. 2024. DOI
[22]
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
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
[21]
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
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
[20]
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
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
[19]
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
Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging.
Communications Medicine 4.46. Mar. 2024. DOI
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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
Synthetic Optical Coherence Tomography Angiographs for Detailed Retinal Vessel Segmentation Without Human Annotations.
IEEE Transactions on Medical Imaging 43.6. Jan. 2024. DOI
2023
[17]
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. URL
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. URL
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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 Health 5.11. Nov. 2023. DOI
Federated electronic health records for the European Health Data Space.
The Lancet Digital Health 5.11. Nov. 2023. DOI
[15]
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
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
[14]
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
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
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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
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
[12]
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
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
[11]
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
A Skeletonization Algorithm for Gradient-Based Optimization.
ICCV 2023 - IEEE/CVF International Conference on Computer Vision. Paris, France, Oct 02-06, 2023. DOI
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A. Khakzar
Rethinking Feature Attribution for Neural Network Explanation.
Dissertation TU München. Aug. 2023. URL
Rethinking Feature Attribution for Neural Network Explanation.
Dissertation TU München. Aug. 2023. URL
2022
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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
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
[8]
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
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
[7]
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
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
[6]
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
Few-shot Structured Radiology Report Generation Using Natural Language Prompts.
Preprint (Mar. 2022). arXiv
2021
[5]
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
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
[4]
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
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
[3]
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
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
[2]
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
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
2020
[1]
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
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
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