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Justin Szeto

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Benchmarking a Benchmark: How Reliable is MS-COCO?

Nov 05, 2023
Eric Zimmermann, Justin Szeto, Jerome Pasquero, Frederic Ratle

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An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance

Nov 05, 2023
Eric Zimmermann, Justin Szeto, Frederic Ratle

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Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis

Jul 20, 2023
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas L. Arnold, Tal Arbel

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Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation

Oct 31, 2022
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Jean-Pierre R. Falet, Douglas L. Arnold, Sotirios A. Tsaftaris, Tal Arbel

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Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation

Aug 02, 2021
Brennan Nichyporuk, Jillian Cardinell, Justin Szeto, Raghav Mehta, Sotirios Tsaftaris, Douglas L. Arnold, Tal Arbel

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Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting

Jul 27, 2021
Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel

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Accounting for Variance in Machine Learning Benchmarks

Mar 01, 2021
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

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