| 2025 | ICCV | Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. | Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel |
| 2025 | MICCAI | Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments. | Gian Mario Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas L. Arnold, Brennan Nichyporuk, Chris Pal, Tal Arbel |
| 2025 | MICCAI | SSL-AD: Spatiotemporal Self-supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. | Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel |
| 2025 | MICCAI | Imagining Alternatives: Towards High-Resolution 3D Counterfactual Medical Image Generation via Language Guidance. | Mohamed Mohamed, Brennan Nichyporuk, Douglas L. Arnold, Tal Arbel |
| 2023 | MICCAI | Exploring Compound Loss Functions for Brain Tumor Segmentation. | Anita Kriz, Raghav Mehta, Brennan Nichyporuk, Tal Arbel |
| 2022 | MICCAI | Counterfactual Image Synthesis for Discovery of Personalized Predictive Image Markers. | Amar Kumar, Anjun Hu, Brennan Nichyporuk, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel |
| 2022 | MICCAI | Information Gain Sampling for Active Learning in Medical Image Classification. | Raghav Mehta, Changjian Shui, Brennan Nichyporuk, Tal Arbel |
| 2021 | MICCAI | Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. | Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel |