Joseph Paul Cohen

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 73

Top Topics

Automatic Segmentation

Medical Imaging

Metric Learning

Top Venues

Publications

Zhihong Chen, Maya Varma, Jean-Benoit Delbrouck, Magdalini Paschali, Louis Blankemeier, Dave Van Veen, Jeya Maria Jose Valanarasu, Alaa Youssef, Joseph Paul Cohen, Eduardo Pontes Reis, Emily Bao Tsai, Andrew Johnston, Cameron Olsen, Tanishq Mathew Abraham, Sergios Gatidis, Akshay S. Chaudhari, Curtis P. Langlotz
CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR (2024)
Jameson Merkow, Arjun Soin, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Christopher P. Bridge, Xiyu Yang, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren
CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. MICCAI (3) (2023)
Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
The Effect of Counterfactuals on Reading Chest X-rays. CoRR (2023)
Joseph Paul Cohen, Louis Blankemeier, Akshay Chaudhari
Identifying Spurious Correlations using Counterfactual Alignment. CoRR (2023)
Neta Gotlieb, Amirhossein Azhie, Divya Sharma, Ashley Spann, Nan-Ji Suo, Jason Tran, Ani Orchanian-Cheff, Bo Wang, Anna Goldenberg, Michael Chassé, Héloïse Cardinal, Joseph Paul Cohen, Andrea Lodi, Melanie Dieude, Mamatha Bhat
The promise of machine learning applications in solid organ transplantation. npj Digit. Medicine 5 (2022)
Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand
TorchXRayVision: A library of chest X-ray datasets and models. MIDL (2022)
Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
Medical Image Segmentation Review: The success of U-Net. CoRR (2022)
Arjun Soin, Jameson Merkow, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren
CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI. CoRR (2022)
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
Saliency is a Possible Red Herring When Diagnosing Poor Generalization. ICLR (2021)
Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
Benefits of Linear Conditioning for Segmentation using Metadata. CoRR (2021)
Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
Benefits of Linear Conditioning for Segmentation using Metadata. MIDL (2021)
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML (2021)
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
Deep semantic segmentation of natural and medical images: a review. Artif. Intell. Rev. 54 (1) (2021)
Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays. MIDL (2021)
Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. CoRR (2021)
Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Exploring the Wasserstein metric for time-to-event analysis. SPACA (2021)
Enoch Tetteh, Joseph D. Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen
Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models. CoRR (2021)
Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Marie-Helene Bourget, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
ivadomed: A Medical Imaging Deep Learning Toolbox. J. Open Source Softw. 6 (58) (2021)
Joseph Paul Cohen, Joseph D. Viviano, Paul Bertin, Paul Morrison, Parsa Torabian, Matteo Guarrera, Matthew P. Lungren, Akshay Chaudhari, Rupert Brooks, Mohammad Hashir, Hadrien Bertrand
TorchXRayVision: A library of chest X-ray datasets and models. CoRR (2021)
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. MIDL (2020)
Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen
Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction. PRIME@MICCAI (2020)
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) (2020)
Joseph Paul Cohen, Paul Morrison, Lan Dao
COVID-19 Image Data Collection. CoRR (2020)
Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction. CoRR (2020)
Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR (2020)
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand
On the limits of cross-domain generalization in automated X-ray prediction. MIDL (2020)
Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault, Sébastien Lemieux
Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Bioinform. 36 (Supplement-1) (2020)
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR (2020)
Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR (2020)
Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
ivadomed: A Medical Imaging Deep Learning Toolbox. CoRR (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
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. CoRR (2020)
Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? CoRR (2020)
Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. CoRR (2020)
Lucas Rouhier, Francisco Perdigón Romero, Joseph Paul Cohen, Julien Cohen-Adad
Spine intervertebral disc labeling using a fully convolutional redundant counting model. CoRR (2020)
Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand
On the limits of cross-domain generalization in automated X-ray prediction. CoRR (2020)
Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML (2020)
Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen
A Benchmark of Medical Out of Distribution Detection. CoRR (2020)
Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q. Duong, Marzyeh Ghassemi
COVID-19 Image Data Collection: Prospective Predictions Are the Future. CoRR (2020)
Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR (2019)
Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore Perkins, Geneviève Boucher, Joseph Paul Cohen
Is graph biased feature selection of genes better than random? CoRR (2019)
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. ICLR (Poster) (2019)
Joseph Paul Cohen, Paul Bertin, Vincent Frappier
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System. CoRR (2019)
Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
GradMask: Reduce Overfitting by Regularizing Saliency. CoRR (2019)
Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen
The TCGA Meta-Dataset Clinical Benchmark. CoRR (2019)
Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio
Torchmeta: A Meta-Learning library for PyTorch. CoRR (2019)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL (2019)
Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio, Joseph Paul Cohen
Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. CoRR (2019)
Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen
Do Lateral Views Help Automated Chest X-ray Predictions? CoRR (2019)
Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen
Analysis of Gene Interaction Graphs for Biasing Machine Learning Models. CoRR (2019)
Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR (2019)
Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
Underwhelming Generalization Improvements From Controlling Feature Attribution. CoRR (2019)
Assya Trofimov, Francis Dutil, Claude Perreault, Sébastien Lemieux, Yoshua Bengio, Joseph Paul Cohen
Towards the Latent Transcriptome. CoRR (2018)
Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
Learning to rank for censored survival data. CoRR (2018)
Joseph Paul Cohen, Margaux Luck, Sina Honari
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. MICCAI (1) (2018)
Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. CoRR (2018)
Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen
A Survey of Mobile Computing for the Visually Impaired. CoRR (2018)
Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko, Yoshua Bengio
Towards Gene Expression Convolutions using Gene Interaction Graphs. CoRR (2018)
Joseph Paul Cohen, Margaux Luck, Sina Honari
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. CoRR (2018)
Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. CoRR (2017)
Joseph Paul Cohen, Henry Z. Lo
ShortScience.org - Reproducing Intuition. CoRR (2017)
Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. NIPS (2017)
Joseph Paul Cohen, Henry Z. Lo, Yoshua Bengio
Count-ception: Counting by Fully Convolutional Redundant Counting. CoRR (2017)
Joseph Paul Cohen, Geneviève Boucher, Craig A. Glastonbury, Henry Z. Lo, Yoshua Bengio
Count-ception: Counting by Fully Convolutional Redundant Counting. ICCV Workshops (2017)
Henry Z. Lo, Joseph Paul Cohen
Academic Torrents: Scalable Data Distribution. CoRR (2016)
Joseph Paul Cohen, Henry Z. Lo, Wei Ding
RandomOut: Using a convolutional gradient norm to win The Filter Lottery. CoRR (2016)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. CoRR (2016)
Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
Rapid building detection using machine learning. Appl. Intell. 45 (2) (2016)
Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding
Crater Detection via Convolutional Neural Networks. CoRR (2016)
Henry Z. Lo, Joseph Paul Cohen, Wei Ding
Prediction gradients for feature extraction and analysis from convolutional neural networks. FG (2015)
Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam
Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction. IEEE BigData (2015)
Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran
Semi-Supervised Web Wrapper Repair via Recursive Tree Matching. CoRR (2015)
Daniel D. Garcia, Wei Ding, Joseph Paul Cohen, Barbara Ericson, Jeff Gray, Dale Reed
One-Day Activities for K-12 Face-to-Face Outreach. SIGCSE (2015)
Joseph Paul Cohen, Carla Aravena, Wei Ding
The cost of reading research. A study of Computer Science publication venues. CoRR (2015)
Ying Mao, Jiayin Wang, Joseph Paul Cohen, Bo Sheng
PASA: Passive broadcast for smartphone ad-hoc networks. ICCCN (2014)
Joseph Paul Cohen, Henry Z. Lo
Academic Torrents: A Community-Maintained Distributed Repository. XSEDE (2014)
Tomasz F. Stepinski, Joseph Paul Cohen
Comparing semantically-blind and semantically-aware landscape similarity measures with application to query-by-content and regionalization. Ecol. Informatics 24 (2014)
Joseph Paul Cohen
Wireless Message Dissemination via Selective Relay over Bluetooth (MDSRoB). CoRR (2013)
Joseph Paul Cohen, Siyi Liu, Wei Ding
Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features. Australasian Conference on Artificial Intelligence (2011)
Siyi Liu, Wei Ding, Joseph Paul Cohen, Dan A. Simovici, Tomasz F. Stepinski
Bernoulli trials based feature selection for crater detection. GIS (2011)