Justin Szeto

According to our database, Justin Szeto authored at least 8 papers between 2021 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Benchmarking a Benchmark: How Reliable is MS-COCO?

Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle

CoRR, 2023

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

Eric Zimmermann, Justin Szeto, Frédéric Ratle

CoRR, 2023

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022

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

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

CoRR, 2022

2021

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

Brennan Nichyporuk, Justin Szeto, Douglas L. Arnold, Tal Arbel

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

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

CoRR, 2021

Accounting for Variance in Machine Learning Benchmarks.

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

Proceedings of Machine Learning and Systems 2021, 2021

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

Proceedings of the Domain Adaptation and Representation Transfer, and Affordable Healthcare and AI for Resource Diverse Global Health, 2021