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Benefits of Linear Conditioning for Segmentation using Metadata


Feb 18, 2021
Andreanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad


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Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays


Feb 18, 2021
Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari

* Under review at MIDL2021 

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ivadomed: A Medical Imaging Deep Learning Toolbox


Oct 20, 2020
Charley Gros, Andreanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad


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S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning


Oct 01, 2020
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi


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Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction


Jul 26, 2020
Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen

* Accepted for publication at the MICCAI 2020 International Workshop on PRedictive Intelligence In MEdicine (PRIME) 

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A Benchmark of Medical Out of Distribution Detection


Jul 08, 2020
Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen

* Oral presentation, Uncertainty & Robustness in Deep Learning workshop at ICML. 4 pages, 9 pages total 

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COVID-19 Image Data Collection: Prospective Predictions Are the Future


Jun 22, 2020
Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q Duong, Marzyeh Ghassemi

* Code for baseline experiments can be found here: https://github.com/mlmed/torchxrayvision/tree/master/scripts/covid-baselines 

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Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning


Jun 06, 2020
Joseph Paul Cohen, Lan Dao, Paul Morrison, Karsten Roth, Yoshua Bengio, Beiyi Shen, Almas Abbasi, Mahsa Hoshmand-Kochi, Marzyeh Ghassemi, Haifang Li, Tim Q Duong

* This work has been submitted to Radiology: Artificial Intelligence for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning


Apr 29, 2020
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen

* 18 pages 

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COVID-19 Image Data Collection


Mar 25, 2020
Joseph Paul Cohen, Paul Morrison, Lan Dao

* Dataset available here: https://github.com/ieee8023/covid-chestxray-dataset 

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Revisiting Training Strategies and Generalization Performance in Deep Metric Learning


Mar 12, 2020
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen


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Spine intervertebral disc labeling using a fully convolutional redundant counting model


Mar 11, 2020
Lucas Rouhier, Francisco Perdigon Romero, Joseph Paul Cohen, Julien Cohen-Adad

* MIDL 2020 

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Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?


Mar 11, 2020
Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad

* MIDL 2020 submission (v2 : corrected typos) 

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Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays


Feb 07, 2020
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen

* Under review at MIDL 2020 

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On the limits of cross-domain generalization in automated X-ray prediction


Feb 06, 2020
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand

* Submitted to MIDL2020 

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Is graph-based feature selection of genes better than random?


Nov 19, 2019
Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore J. Perkins, Geneviève Boucher, Joseph Paul Cohen

* Accepted to the Machine Learning in Computational Biology (MLCB) meeting 2019. 7 pages. 4 figures 

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Deep Semantic Segmentation of Natural and Medical Images: A Review


Nov 02, 2019
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh


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Is graph biased feature selection of genes better than random?


Oct 21, 2019
Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore Perkins, Geneviève Boucher, Joseph Paul Cohen

* Submitted to Machine Learning in Computational Biology (MLCB) meeting 2019. 7 pages, 4 figures, preprint 

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Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery


Oct 21, 2019
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron Courville, Yoshua Bengio, Joseph Paul Cohen

* Under Review 

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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

* 5 Pages, Submitted to MLCB 2019 

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Underwhelming Generalization Improvements From Controlling Feature Attribution


Oct 01, 2019
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen

* 14 pages, 9 figures, code in paper (github link) 

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Torchmeta: A Meta-Learning library for PyTorch


Sep 14, 2019
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio


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Analysis of Gene Interaction Graphs for Biasing Machine Learning Models


May 06, 2019
Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen

* Submitted to ICML Workshop on Computational Biology 

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Do Lateral Views Help Automated Chest X-ray Predictions?


Apr 17, 2019
Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen

* 3 pages and 1 figure. Under review as extended abstract at MIDL 2019 

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