| 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 | Exploring the Interplay of Label Bias with Subgroup Size and Separability: A Case Study in Mammographic Density Classification. | Emma A. M. Stanley, Raghav Mehta, Mlanie Roschewitz, Nils D. Forkert, Ben Glocker |
| 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 | Spatio-Temporal Deep Learning for Final Infarct Prediction Using Acute Stroke CT Perfusion Data. | Kimberly Amador, Anthony J. Winder, Nils D. Forkert |
| 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 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 | CogSci | Simulating progressive neurodegeneration in silico with deep artificial neural networks. | Anup Tuladhar, Jasmine A. Moore, Zahinoor Ismail, Nils D. Forkert |
| 2022 | ICPR | Weakly Supervised Medical Image Segmentation with Soft Labels and Noise Robust Loss. | Banafshe Felfeliyan, Abhilash Rakkunedeth Hareendranathan, Gregor Kuntze, Stephanie Wichuk, Nils D. Forkert, Jacob L. Jaremko, Janet Lenore Ronsky |
| 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 | Investigating the Vulnerability of Federated Learning-Based Diabetic Retinopathy Grade Classification to Gradient Inversion Attacks. | Christopher Nielsen, Anup Tuladhar, 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 |
| 2019 | MICCAI | The Effect of Labeling Duration and Temporal Resolution on Arterial Transit Time Estimation Accuracy in 4D ASL MRA Datasets - A Flow Phantom Study. | Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falco, Nils D. Forkert |