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Thomas Fevens

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Source-free Domain Adaptation Requires Penalized Diversity

Apr 12, 2023
Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei

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on the effectiveness of generative adversarial network on anomaly detection

Dec 31, 2021
Laya Rafiee Sevyeri, Thomas Fevens

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Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation

Jan 26, 2021
Prabhakara Subramanya Jois, Aniketh Manjunath, Thomas Fevens

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FoCL: Feature-Oriented Continual Learning for Generative Models

Mar 09, 2020
Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei

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The TCGA Meta-Dataset Clinical Benchmark

Oct 18, 2019
Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sebastien Lemieux, Joseph Paul Cohen

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Dual Adversarial Inference for Text-to-Image Synthesis

Aug 14, 2019
Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di Jorio, Thomas Fevens

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Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks

May 28, 2019
Qicheng Lao, Thomas Fevens

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Leveraging Disease Progression Learning for Medical Image Recognition

Sep 01, 2018
Qicheng Lao, Thomas Fevens, Boyu Wang

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