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GANs for Medical Image Synthesis: An Empirical Study


May 11, 2021
Youssef Skandarani, Pierre-Marc Jodoin, Alain Lalande


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Neural Teleportation


Dec 02, 2020
Marco Armenta, Thierry Judge, Nathan Painchaud, Youssef Skandarani, Carl Lemaire, Gabriel Gibeau Sanchez, Philippe Spino, Pierre-Marc Jodoin


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Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy


Nov 26, 2020
Bach Ngoc Kim, Jose Dolz, Christian Desrosiers, Pierre-Marc Jodoin


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Tractography filtering using autoencoders


Oct 07, 2020
Jon Haitz Legarreta, Laurent Petit, François Rheault, Guillaume Theaud, Carl Lemaire, Maxime Descoteaux, Pierre-Marc Jodoin

* Preprint. Paper under review 

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The Representation Theory of Neural Networks


Jul 23, 2020
Marco Antonio Armenta, Pierre-Marc Jodoin


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Cardiac Segmentation with Strong Anatomical Guarantees


Jun 15, 2020
Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

* 11 pages, accepted for publication in IEEE TMI 

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On the effectiveness of GAN generated cardiac MRIs for segmentation


May 22, 2020
Youssef Skandarani, Nathan Painchaud, Pierre-Marc Jodoin, Alain Lalande

* 4 pages, Accepted for MIDL 2020 

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LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography


Apr 04, 2020
Sarah Leclerc, Erik Smistad, Andreas Østvik, Frederic Cervenansky, Florian Espinosa, Torvald Espeland, Erik Andreas Rye Berg, Thomas Grenier, Carole Lartizien, Pierre-Marc Jodoin, Lasse Lovstakken, Olivier Bernard


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Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation


Sep 09, 2019
Bach Ngoc Kim, Christian Desrosiers, Jose Dolz, Pierre-Marc Jodoin


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Cardiac MRI Segmentation with Strong Anatomical Guarantees


Jul 05, 2019
Nathan Painchaud, Youssef Skandarani, Thierry Judge, Olivier Bernard, Alain Lalande, Pierre-Marc Jodoin

* 8 pages, accepted for MICCAI 2019 

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Spectral Metric for Dataset Complexity Assessment


May 17, 2019
Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin

* 10 pages, 5 figures, Supplementary 2 pages 1 figures, accepted at CVPR 2019 

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Tractography and machine learning: Current state and open challenges


Feb 14, 2019
Philippe Poulin, Daniel Jörgens, Pierre-Marc Jodoin, Maxime Descoteaux


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Structured Pruning of Neural Networks with Budget-Aware Regularization


Nov 23, 2018
Carl Lemaire, Andrew Achkar, Pierre-Marc Jodoin

* Paper: 9 pages, 8 figures. Supplementary materials: 6 pages, 1 figure 

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GridNet with automatic shape prior registration for automatic MRI cardiac segmentation


Sep 12, 2017
Clement Zotti, Zhiming Luo, Alain Lalande, Olivier Humbert, Pierre-Marc Jodoin

* 8 pages, 1 tables, 2 figures 

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Deep learning trends for focal brain pathology segmentation in MRI


Jan 24, 2017
Mohammad Havaei, Nicolas Guizard, Hugo Larochelle, Pierre-Marc Jodoin

* Published in Machine Learning for Health Informatics 

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Brain Tumor Segmentation with Deep Neural Networks


May 20, 2016
Mohammad Havaei, Axel Davy, David Warde-Farley, Antoine Biard, Aaron Courville, Yoshua Bengio, Chris Pal, Pierre-Marc Jodoin, Hugo Larochelle


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Within-Brain Classification for Brain Tumor Segmentation


Oct 05, 2015
Mohammad Havaei, Hugo Larochelle, Philippe Poulin, Pierre-Marc Jodoin


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Retrieval in Long Surveillance Videos using User Described Motion and Object Attributes


May 01, 2014
Greg Castanon, Mohamed Elgharib, Venkatesh Saligrama, Pierre-Marc Jodoin

* 13 pages 

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