Machine Learning Consulting Unit
Empowering Research Through Expert Consulting
Our primary goal is to provide consulting to applied sciences, for example medicine, psychology, biology and others. We aim to provide solutions, that based on our experience and expertise are most suitable to answer the research question at hand.
Consulting is free of charge (ca. 8h per project) for members of the MCML and the LMU. Consulting outside the MCML and LMU is also possible, but needs to be negotiated on a case by case basis. We also welcome joint research projects with the goal of publication and other forms of cooperation.
If you are interested in consulting, please contact us. Our experience shows, that it is advisable to register for consulting as early in the project as possible or even at the planning stage.
Team
Andreas Bender
Dr.
Coordinator Statistical and Machine Learning Consulting
Bernd Bischl
Prof. Dr.
Director
Ludwig Bothmann
Dr.
David Rügamer
Prof. Dr.
Core PI
Contact
If you are interested in consulting, please register using our webform.
For other request contact mlcu[at]stat.uni-muenchen.de
For statistical consulting also consider contacting the Statistical Consulting Unit (StaBLab).
Recent and Current Projects
Find a selection of projects that resulted from consulting requests in the past
Personality prediction from eye-tracking data
Landmark recognition from satellite imaging
Survival prediction based on radiomics and image data
Classifying neck pain status using scalar and functional biomechanical variables using functional data boosting
Interpretable machine learning models for classifying low back pain status using functional physiological variables
Wildlife image classification
Clinical predictive modeling of post-surgical recovery in individuals with cervical radiculopathy
Automated classification of atmospheric circulation patterns using Deep Learning
Classification of rain types
Clustering of German tourist types
Prediction of sports injuries in football
Publications of the MLCU
2026
[40]
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
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
[39]
Q. Xu • D. Rügamer • A. Bender • M. E. Maros
Deep generative models in digital subtraction angiography (DSA) and X-ray angiography: a systematic review.
Artificial Intelligence Review 59.2. Jan. 2026. DOI
Deep generative models in digital subtraction angiography (DSA) and X-ray angiography: a systematic review.
Artificial Intelligence Review 59.2. Jan. 2026. DOI
2025
[38]
E. Özeren • A. Ulbrich • S. Filimon • D. Rügamer • A. Bender
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety.
ECML-PKDD 2025 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Porto, Portugal, Sep 15-19, 2025. DOI
[37]
E. Walter • T. Brock • P. Lahoud • N. Werner • F. Czaja • A. Tichy • C. Bumm • A. Bender • A. Castro • W. Teughels • F. Schwendicke • M. Folwaczny
Predictive modeling for step II therapy response in periodontitis - model development and validation.
npj Digital Medicine 8.445. Jul. 2025. DOI
Predictive modeling for step II therapy response in periodontitis - model development and validation.
npj Digital Medicine 8.445. Jul. 2025. DOI
[36]
N. Santhanam • H. E. Kim • D. Rügamer • A. Bender • S. Muthers • C. G. Cho • A. Alonso • K. Szabo • F.-S. Centner • H. Wenz • T. Ganslandt • M. Platten • C. Groden • M. Neumaier • F. Siegel • M. E. Maros
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data.
npj Digital Medicine 8.225. Apr. 2025. DOI
Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data.
npj Digital Medicine 8.225. Apr. 2025. DOI
[35]
L. Zumeta-Olaskoaga • A. Bender • D.-J. Lee
Flexible modelling of time-varying exposures in event history analysis.
DAGStat 2025 - 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik. Berlin, Germany, Mar 24-28, 2025. Poster presentation. Full paper available. DOI
Flexible modelling of time-varying exposures in event history analysis.
DAGStat 2025 - 7th Joint Statistical Meeting of the Deutsche Arbeitsgemeinschaft Statistik. Berlin, Germany, Mar 24-28, 2025. Poster presentation. Full paper available. DOI
[34]
L. Zumeta-Olaskoaga • A. Bender • D.-J. Lee
Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 74.2. Mar. 2025. DOI
Flexible modelling of time-varying exposures and recurrent events to analyse training load effects in team sports injuries.
Journal of the Royal Statistical Society. Series C (Applied Statistics) 74.2. Mar. 2025. DOI
[33]
L. Burk • A. Bender • M. N. Wright
High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression.
Biometrical Journal 67.1. Feb. 2025. DOI
High-Dimensional Variable Selection With Competing Events Using Cooperative Penalized Regression.
Biometrical Journal 67.1. Feb. 2025. DOI
2024
[32]
J. Gertheiss • D. Rügamer • B. X. Liew • S. Greven
Functional Data Analysis: An Introduction and Recent Developments.
Biometrical Journal 66.7. Oct. 2024. DOI GitHub
Functional Data Analysis: An Introduction and Recent Developments.
Biometrical Journal 66.7. Oct. 2024. DOI GitHub
[31]
M. M. Heimer • Y. Dikhtyar • B. F. Hoppe • F. L. Herr • A. T. Stüber • T. Burkard • E. Zöller • M. P. Fabritius • L. Unterrainer • L. Adams • A. Thurner • D. Kaufmann • T. Trzaska • M. Kopp • O. Hamer • K. Maurer • I. Ristow • M. S. May • A. Tufman • J. Spiro • M. Brendel • M. Ingrisch • J. Ricke • C. C. Cyran
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.
Insights into Imaging 15.258. Oct. 2024. DOI
Software-assisted structured reporting and semi-automated TNM classification for NSCLC staging in a multicenter proof of concept study.
Insights into Imaging 15.258. Oct. 2024. DOI
[30]
A. Mittermeier • M. Aßenmacher • B. Schachtner • S. Grosu • V. Dakovic • V. Kandratovich • B. Sabel • M. Ingrisch
Automatische ICD-10-Codierung.
Die Radiologie 64. Aug. 2024. DOI
Automatische ICD-10-Codierung.
Die Radiologie 64. Aug. 2024. DOI
[29]
R. Klaar • M. Rabe • A. T. Stüber • S. Hering • S. Corradini • C. Eze • S. Marschner • C. Belka • G. Landry • J. Dinkel • C. Kurz
MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35T MR-Linac.
Radiotherapy and Oncology. Aug. 2024. DOI
MRI-based ventilation and perfusion imaging to predict radiation-induced pneumonitis in lung tumor patients at a 0.35T MR-Linac.
Radiotherapy and Oncology. Aug. 2024. DOI
[28]
A. Solderer • S. P. Hicklin • M. Aßenmacher • A. Ender • P. R. Schmidlin
Influence of an allogenic collagen scaffold on implant sites with thin supracrestal tissue height: a randomized clinical trial.
Clinical Oral Investigations 28.313. May. 2024. DOI
Influence of an allogenic collagen scaffold on implant sites with thin supracrestal tissue height: a randomized clinical trial.
Clinical Oral Investigations 28.313. May. 2024. DOI
[27]
F. Coens • N. Knops • I. Tieken • S. Vogelaar • A. Bender • J. J. Kim • K. Krupka • L. Pape • A. Raes • B. Tönshoff • A. Prytula • C. Registry
Time-Varying Determinants of Graft Failure in Pediatric Kidney Transplantation in Europe.
Clinical Journal of the American Society of Nephrology 19.3. Mar. 2024. DOI
Time-Varying Determinants of Graft Failure in Pediatric Kidney Transplantation in Europe.
Clinical Journal of the American Society of Nephrology 19.3. Mar. 2024. DOI
[26]
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
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
[25]
B. X. Liew • F. Pfisterer • D. Rügamer • X. Zhai
Strategies to optimise machine learning classification performance when using biomechanical features.
Journal of Biomechanics 165. Mar. 2024. DOI
Strategies to optimise machine learning classification performance when using biomechanical features.
Journal of Biomechanics 165. Mar. 2024. DOI
[24]
S. Dandl • A. Bender • T. Hothorn
Heterogeneous treatment effect estimation for observational data using model-based forests.
Statistical Methods in Medical Research 33.3. Mar. 2024. DOI
Heterogeneous treatment effect estimation for observational data using model-based forests.
Statistical Methods in Medical Research 33.3. Mar. 2024. DOI
[23]
S. Wiegrebe • P. Kopper • R. Sonabend • B. Bischl • A. Bender
Deep learning for survival analysis: a review.
Artificial Intelligence Review 57.65. Feb. 2024. DOI
Deep learning for survival analysis: a review.
Artificial Intelligence Review 57.65. Feb. 2024. DOI
[22]
B. X. W. Liew • D. Rügamer • A. V. Birn-Jeffery
Neuromechanical stabilisation of the centre of mass during running.
Gait and Posture 108. Feb. 2024. DOI
Neuromechanical stabilisation of the centre of mass during running.
Gait and Posture 108. Feb. 2024. DOI
[21]
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
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
2023
[20]
L. Bothmann • L. Wimmer • O. Charrakh • T. Weber • H. Edelhoff • W. Peters • H. Nguyen • C. Benjamin • A. Menzel
Automated wildlife image classification: An active learning tool for ecological applications.
Ecological Informatics 77. Nov. 2023. DOI
Automated wildlife image classification: An active learning tool for ecological applications.
Ecological Informatics 77. Nov. 2023. DOI
[19]
T. Weber • M. Ingrisch • B. Bischl • D. Rügamer
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings.
Preprint (Nov. 2023). arXiv
Post-hoc Orthogonalization for Mitigation of Protected Feature Bias in CXR Embeddings.
Preprint (Nov. 2023). arXiv
[18]
B. X. W. Liew • F. M. Kovacs • D. Rügamer • A. Royuela
Automatic variable selection algorithms in prognostic factor research in neck pain.
Journal of Clinical Medicine. Sep. 2023. DOI
Automatic variable selection algorithms in prognostic factor research in neck pain.
Journal of Clinical Medicine. Sep. 2023. DOI
[17]
F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access 11. Aug. 2023. DOI
Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.
IEEE Access 11. Aug. 2023. DOI
[16]
B. X. W. Liew • D. Rügamer • Q. Mei • Z. Altai • X. Zhu • X. Zhai • N. Cortes
Smooth and accurate predictions of joint contact force timeseries in gait using overparameterised deep neural networks.
Frontiers in Bioengineering and Biotechnology 11. Jul. 2023. DOI
Smooth and accurate predictions of joint contact force timeseries in gait using overparameterised deep neural networks.
Frontiers in Bioengineering and Biotechnology 11. Jul. 2023. DOI
[15]
K. Röck • D. Rügamer • B. Bischl • U. von Toussaint • C. G. Albert
Dependent state space Student-t processes for imputation and data augmentation in plasma diagnostics.
Contributions to Plasma Physics 63.5-6. May. 2023. DOI
Dependent state space Student-t processes for imputation and data augmentation in plasma diagnostics.
Contributions to Plasma Physics 63.5-6. May. 2023. DOI
2022
[14]
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
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
[13]
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
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
[12]
K. Röck • D. Rügamer • B. Bischl • U. von Toussaint • C. Rea • A. Maris • R. Granetz • C. G. Albert
Data augmentation for disruption prediction via robust surrogate models.
Journal of Plasma Physics 88.5. Oct. 2022. DOI
Data augmentation for disruption prediction via robust surrogate models.
Journal of Plasma Physics 88.5. Oct. 2022. DOI
[11]
W. Ghada • E. Casellas • J. Herbinger • A. Garcia-Benadí • L. Bothmann • N. Estrella • J. Bech • A. Menzel
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote Sensing 14.18. Sep. 2022. DOI
Stratiform and Convective Rain Classification Using Machine Learning Models and Micro Rain Radar.
Remote Sensing 14.18. Sep. 2022. DOI
[10]
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
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
[9]
F. Ott • D. Rügamer • L. Heublein • B. Bischl • C. Mutschler
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach.
WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2022. DOI
Joint Classification and Trajectory Regression of Online Handwriting Using a Multi-Task Learning Approach.
WACV 2022 - IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, Hawaii, Jan 04-08, 2022. DOI
[8]
A. Python • A. Bender • M. Blangiardo • J. B. Illian • Y. Lin • B. Liu • T. C. D. Lucas • S. Tan • Y. Wen • D. Svanidze • J. Yin
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
A downscaling approach to compare COVID-19 count data from databases aggregated at different spatial scales.
Journal of the Royal Statistical Society. Series A (Statistics in Society) 185.1. Jan. 2022. DOI
2021
[7]
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
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
[6]
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
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
[5]
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
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
[4]
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
Bi-Centric Independent Validation of Outcome Prediction after Radioembolization of Primary and Secondary Liver Cancer.
Journal of Clinical Medicine 10.16. Aug. 2021. DOI
[3]
A. Python • A. Bender • A. K. Nandi • P. A. Hancock • R. Arambepola • J. Brandsch • T. C. D. Lucas
Predicting non-state terrorism worldwide.
Science Advances 7.31. Jul. 2021. DOI
Predicting non-state terrorism worldwide.
Science Advances 7.31. Jul. 2021. DOI
2019
[2]
G. König • M. Grosse-Wentrup
A Causal Perspective on Challenges for AI in Precision Medicine.
PMBC 2019 - 2nd International Congress on Precision Medicine. Munich, Germany, Oct 14-15, 2019.
A Causal Perspective on Challenges for AI in Precision Medicine.
PMBC 2019 - 2nd International Congress on Precision Medicine. Munich, Germany, Oct 14-15, 2019.
[1]
J. Goschenhofer • F. M. J. Pfister • K. A. Yuksel • B. Bischl • U. Fietzek • J. Thomas
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI
Wearable-based Parkinson's Disease Severity Monitoring using Deep Learning.
ECML-PKDD 2019 - European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases. Wuerzburg, Germany, Sep 16-20, 2019. DOI
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2024-10-14 - Last modified: 2026-02-04