| 2025 | MICCAI | Semi-disentangled Spatiotemporal Implicit Neural Representations of Longitudinal Neuroimaging Data for Trajectory Classification. | Agampreet Aulakh, Nils D. Forkert, Matthias Wilms |
| 2025 | MICCAI | Simulating Inter-observer Variability Across Clinical Experience Levels for Brain Tumour Segmentation. | Haley Gillett, Emma A. M. Stanley, Raissa Souza, Matthias Wilms, Nils D. Forkert |
| 2025 | MICCAI | A Lifesaving Foundation: Leveraging Foundation Models for Recognizing and Anticipating Medical Procedure Actions. | Adrian Leon Lindloff, Simone Frintrop, Christian Wilms, Matthias Wilms |
| 2025 | MICCAI | Synthetic Ground Truth Counterfactuals for Comprehensive Evaluation of Causal Generative Models in Medical Imaging. | Emma A. M. Stanley, Vibujithan Vigneshwaran, Erik Y. Ohara, Finn G. Vamosi, Nils D. Forkert, Matthias Wilms |
| 2024 | MICCAI | A Novel Multimodal Deep Learning Fusion Framework for Predicting Neovascular Activity Evolution in Exudative Age-Related Macular Degeneration. | Christopher Nielsen, Ahmad O. Ahsan, Matthias Wilms, Nils D. Forkert |
| 2024 | MICCAI | Do Sites Benefit Equally from Distributed Learning in Medical Image Analysis? | Raissa Souza, Emma A. M. Stanley, Richard Camicioli, Oury Monchi, Zahinoor Ismail, Matthias Wilms, Nils D. Forkert |
| 2024 | MICCAI | Assessing the Impact of Sociotechnical Harms in AI-Based Medical Image Analysis. | Emma A. M. Stanley, Raissa Souza, Anthony J. Winder, Matthias Wilms, G. Bruce Pike, Gabrielle Dagasso, Christopher Nielsen, Sarah J. MacEachern, Nils D. Forkert |
| 2024 | MICCAI | A Multi-modal Deep Learning Framework for Final Infarct Prediction in Acute Ischemic Stroke: Combining CTA, NCCT, and Clinical Data. | Eneko Uruuela, Annabella Bregazzi, Matthias Wilms |
| 2024 | MICCAI | A Lightweight 3D Conditional Diffusion Model for Self-explainable Brain Age Prediction in Adults and Children. | Matthias Wilms, Ahmad O. Ahsan, Erik Y. Ohara, Gabrielle Dagasso, Elizabeth Macavoy, Emma A. M. Stanley, Vibujithan Vigneshwaran, Nils D. Forkert |
| 2023 | MICCAI | A Flexible Framework for Simulating and Evaluating Biases in Deep Learning-Based Medical Image Analysis. | Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert |
| 2022 | MICCAI | Hybrid Spatio-Temporal Transformer Network for Predicting Ischemic Stroke Lesion Outcomes from 4D CT Perfusion Imaging. | Kimberly Amador, Anthony J. Winder, Jens Fiehler, Matthias Wilms, Nils D. Forkert |
| 2022 | MICCAI | Disproportionate Subgroup Impacts and Other Challenges of Fairness in Artificial Intelligence for Medical Image Analysis. | Emma A. M. Stanley, Matthias Wilms, Nils D. Forkert |
| 2022 | MICCAI | Disentangling Factors of Morphological Variation in an Invertible Brain Aging Model. | Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Snke Langner, Nils D. Forkert |
| 2021 | MICCAI | Towards Self-explainable Classifiers and Regressors in Neuroimaging with Normalizing Flows. | Matthias Wilms, Pauline Mouches, Jordan J. Bannister, Deepthi Rajashekar, Snke Langner, Nils D. Forkert |
| 2020 | MICCAI | Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows. | Matthias Wilms, Jordan J. Bannister, Pauline Mouches, M. Ethan MacDonald, Deepthi Rajashekar, Snke Langner, Nils D. Forkert |
| 2020 | MICCAI | A Kernelized Multi-level Localization Method for Flexible Shape Modeling with Few Training Data. | Matthias Wilms, Jan Ehrhardt, Nils D. Forkert |
| 2017 | MICCAI | Training CNNs for Image Registration from Few Samples with Model-based Data Augmentation. | Hristina Uzunova, Matthias Wilms, Heinz Handels, Jan Ehrhardt |
| 2017 | MICCAI | Representative Patch-based Active Appearance Models Generated from Small Training Populations. | Matthias Wilms, Heinz Handels, Jan Ehrhardt |
| 2016 | ECCV | Patch-Based Low-Rank Matrix Completion for Learning of Shape and Motion Models from Few Training Samples. | Jan Ehrhardt, Matthias Wilms, Heinz Handels |
| 2016 | MICCAI | Model-Based Regularisation for Respiratory Motion Estimation with Sparse Features in Image-Guided Interventions. | Matthias Wilms, In Young Ha, Heinz Handels, Mattias Paul Heinrich |
| 2015 | MICCAI | Automatic Detection of Cardiac Remodeling Using Global and Local Clinical Measures and Random Forest Classification. | Jan Ehrhardt, Matthias Wilms, Heinz Handels, Dennis Sring |
| 2015 | MICCAI | Multi-atlas Segmentation Using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression. | Mattias P. Heinrich, Matthias Wilms, Heinz Handels |
| 2015 | MICCAI | Image Features for Brain Lesion Segmentation Using Random Forests. | Oskar Maier, Matthias Wilms, Heinz Handels |
| 2012 | GI | A Diffeomorphic Framework for Surrogate-based Motion Estimation in Radiation Therapy: Concept and First Evaluation. | Ren Werner, Jan Ehrhardt, Alexander Schmidt-Richberg, Matthias Wilms, Maximilian Blendowski, Heinz Handels |
| 2012 | GI | Modellbasierte 4D-Segmentierung von Lungen mit groen Tumoren in rumlichzeitlichen CT-Bildfolgen. | Matthias Wilms, Jan Ehrhardt, Heinz Handels |
| 2012 | MICCAI | A 4D Statistical Shape Model for Automated Segmentation of Lungs with Large Tumors. | Matthias Wilms, Jan Ehrhardt, Heinz Handels |