Justin Szeto

PhD student, Electrical and Computer Engineering, McGill University

Joined

January 2020

Names

Justin Szeto (Preferred)

Emails

****@mail.mcgill.ca (Confirmed)

****@cim.mcgill.ca (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

PhD student

Electrical and Computer Engineering, McGill University (mcgill.ca)

2025 – Present

MS student

Electrical and Computer Engineering, McGill University (mcgill.ca)

2020 – 2025

Researcher

Sama (samasource.org)

2022 – 2024

Undergrad student

Electrical and Computer Engineering , McGill University (mcgill.ca)

2015 – 2019

Advisors, Relations & Conflicts

PhD Advisor

Amin Emad

2025 – Present

Coauthor

Brennan Nichyporuk

2020 – Present

Advisor

Tal Arbel

2019 – 2025

Coauthor

Jerome Pasquero

2022 – 2024

Coauthor

Eric Zimmermann

2022 – 2023

Coauthor

Frederic Ratle

2022 – 2023

Coauthor

Changjian Shui

2022 – 2023

Expertise

Deep learning

Present

Computer vision

Present

CNNs

Present

Publications

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
- MICCAI 2025
- Readers: Everyone
Mitigating calibration bias without fixed attribute grouping for improved fairness in medical imaging analysis
Changjian Shui, Justin Szeto, Raghav Mehta, Douglas Lorne Arnold, Tal Arbel
- Medical Image Computing and Computer Assisted Intervention (MICCAI) 2023
- Readers: Everyone
Benchmarking a Benchmark: How Reliable is MS-COCO?
Eric Zimmermann, Justin Szeto, Jérôme Pasquero, Frédéric Ratle
- CoRR 2023
- Readers: Everyone
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance
Eric Zimmermann, Justin Szeto, Frédéric Ratle
- CoRR 2023
- Readers: Everyone
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
- Readers: Everyone
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, Dmitriy Serdyuk, Tal Arbel, Christopher Pal, Gael Varoquaux, Pascal Vincent
- 13 Jun 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting
Brennan Nichyporuk, Justin Szeto, Douglas Arnold, Tal Arbel
- Published: 11 May 2021, Last Modified: 16 May 2023
- MIDL 2021 Poster
- Readers: Everyone
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
- Readers: Everyone
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
- DART/FAIR@MICCAI 2021
- Readers: Everyone
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
- 2021 (modified: 07 May 2026)
- CoRR 2021
- Readers: Everyone

View all 11 publications

Co-Authors

View all 32 co-authors