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Justin Szeto
Publication Activity (10 Years)
Years Active: 2021-2023
Publications (10 Years): 10
Top Topics
Benchmark Suite
Lesion Detection
Medical Imaging
Multiple Sclerosis
Top Venues
CoRR
MICCAI (3)
MLSys
DART/FAIR@MICCAI
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Publications
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Eric Zimmermann
,
Justin Szeto
,
Jérôme Pasquero
,
Frédéric Ratle
Benchmarking a Benchmark: How Reliable is MS-COCO?
CoRR
(2023)
Changjian Shui
,
Justin Szeto
,
Raghav Mehta
,
Douglas L. Arnold
,
Tal Arbel
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis.
MICCAI (3)
(2023)
Changjian Shui
,
Justin Szeto
,
Raghav Mehta
,
Douglas L. Arnold
,
Tal Arbel
Mitigating Calibration Bias Without Fixed Attribute Grouping for Improved Fairness in Medical Imaging Analysis.
CoRR
(2023)
Eric Zimmermann
,
Justin Szeto
,
Frédéric Ratle
An Empirical Study of Uncertainty in Polygon Annotation and the Impact of Quality Assurance.
CoRR
(2023)
Brennan Nichyporuk
,
Jillian Cardinell
,
Justin Szeto
,
Raghav Mehta
,
Jean-Pierre R. Falet
,
Douglas L. Arnold
,
Sotirios A. Tsaftaris
,
Tal Arbel
Rethinking Generalization: The Impact of Annotation Style on Medical Image Segmentation.
CoRR
(2022)
Brennan Nichyporuk
,
Jillian Cardinell
,
Justin Szeto
,
Raghav Mehta
,
Sotirios A. Tsaftaris
,
Douglas L. Arnold
,
Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation.
CoRR
(2021)
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
Accounting for Variance in Machine Learning Benchmarks.
MLSys
(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
Accounting for Variance in Machine Learning Benchmarks.
CoRR
(2021)
Brennan Nichyporuk
,
Justin Szeto
,
Douglas L. Arnold
,
Tal Arbel
Optimizing Operating Points for High Performance Lesion Detection and Segmentation Using Lesion Size Reweighting.
CoRR
(2021)
Brennan Nichyporuk
,
Jillian Cardinell
,
Justin Szeto
,
Raghav Mehta
,
Sotirios A. Tsaftaris
,
Douglas L. Arnold
,
Tal Arbel
Cohort Bias Adaptation in Aggregated Datasets for Lesion Segmentation.
DART/FAIR@MICCAI
(2021)