Justin Szeto - RankMe

19 papers Journal 12Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. ICCVW Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	J	`jnl`	Building a General SimCLR Self-Supervised Foundation Model Across Neurological Diseases to Advance 3D Brain MRI Diagnoses. CoRR Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. MICCAI (7) Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025	J	`jnl`	Exposing and Mitigating Calibration Biases and Demographic Unfairness in MLLM Few-Shot In-Context Learning for Medical Image Classification. CoRR Xing Shen, Justin Szeto, Mingyang Li, Hengguan Huang, Tal Arbel
2025	J	`jnl`	KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning. CoRR Eric Zimmermann, Harley Wiltzer, Justin Szeto, David Alvarez-Melis, Lester Mackey
2025	J	`jnl`	SSL-AD: Spatiotemporal Self-Supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. CoRR Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	SSL-AD: Spatiotemporal Self-supervised Learning for Generalizability and Adaptability Across Alzheimer's Prediction Tasks and Datasets. LMID@MICCAI Emily Kaczmarek, Justin Szeto, Brennan Nichyporuk, Tal Arbel
2025	—	`conf`	Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments. LMID@MICCAI Gian Mario Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas L. Arnold, Brennan Nichyporuk, Chris Pal, Tal Arbel
2025	J	`jnl`	Spatio-Temporal Conditional Diffusion Models for Forecasting Future Multiple Sclerosis Lesion Masks Conditioned on Treatments. CoRR Gian Mario Favero, Ge Ya Luo, Nima Fathi, Justin Szeto, Douglas L. Arnold, Brennan Nichyporuk, Chris Pal, Tal Arbel
2023	J	`jnl`	An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance. CoRR Eric Zimmermann, Justin Szeto, Frédéric Ratle
2023	J	`jnl`	Benchmarking a Benchmark: How Reliable is MS-COCO? CoRR Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle
2023	—	`conf`	Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. MICCAI (3) Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2023	J	`jnl`	Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis. CoRR Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel
2022	J	`jnl`	Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel
2021	—	`conf`	Accounting for Variance in Machine Learning Benchmarks. MLSys Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Nazanin Mohammadi Sepahvand, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	J	`jnl`	Accounting for Variance in Machine Learning Benchmarks. CoRR Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi, Assya Trofimov, Brennan Nichyporuk, Justin Szeto, Naz Sepah, Edward Raff, Kanika Madan, Vikram Voleti, Samira Ebrahimi Kahou, Vincent Michalski, Dmitriy Serdyuk, Tal Arbel, Chris Pal, Gaël Varoquaux, Pascal Vincent
2021	—	`conf`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. DART/FAIR@MICCAI Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation. CoRR Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios A. Tsaftaris, Douglas L. Arnold, Tal Arbel
2021	J	`jnl`	Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting. CoRR Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel