| 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 | Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. | Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel |
| 2023 | MICCAI | Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. | Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, 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 |