Joseph Paul Cohen

85 papers A* 3A 2B 2Misc 1Journal 60Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Explaining 3D Computed Tomography Classifiers with Counterfactuals. CoRR Joseph Paul Cohen, Louis Blankemeier, Akshay Chaudhari
2025	A	`conf`	Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization. INTERSPEECH Suhas BN, Han-Chin Shing, Lei Xu, Mitch Strong, Jon Burnsky, Jessica Ofor, Jordan R. Mason, Susan Chen, Sundararajan Srinivasan, Chaitanya Shivade, Jack Moriarty, Joseph Paul Cohen
2025	J	`jnl`	Fact-Controlled Diagnosis of Hallucinations in Medical Text Summarization. CoRR Suhas BN, Han-Chin Shing, Lei Xu, Mitch Strong, Jon Burnsky, Jessica Ofor, Jordan R. Mason, Susan Chen, Sundararajan Srinivasan, Chaitanya Shivade, Jack Moriarty, Joseph Paul Cohen
2025	J	`jnl`	Identifying Spurious Correlations using Counterfactual Alignment. Trans. Mach. Learn. Res. Joseph Paul Cohen, Louis Blankemeier, Akshay S. Chaudhari
2024	J	`jnl`	CheXagent: Towards a Foundation Model for Chest X-Ray Interpretation. CoRR 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
2024	J	`jnl`	Medical Image Segmentation Review: The Success of U-Net. IEEE Trans. Pattern Anal. Mach. Intell. Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
2024	J	`jnl`	Merlin: A Vision Language Foundation Model for 3D Computed Tomography. CoRR Louis Blankemeier, Joseph Paul Cohen, Ashwin Kumar, Dave Van Veen, Syed Jamal Safdar Gardezi, Magdalini Paschali, Zhihong Chen, Jean-Benoit Delbrouck, Eduardo Pontes Reis, Cesar Truyts, Christian Bluethgen, Malte Engmann Kjeldskov Jensen, Sophie Ostmeier, Maya Varma, Jeya Maria Jose Valanarasu, Zhongnan Fang, Zepeng Huo, Zaid Nabulsi, Diego Ardila, Wei-Hung Weng, Edson Amaro Júnior, Neera Ahuja, Jason Alan Fries, Nigam H. Shah, Andrew Johnston, Robert D. Boutin, Andrew Wentland, Curtis P. Langlotz, Jason Hom, Sergios Gatidis, Akshay S. Chaudhari
2023	—	`conf`	CheXstray: A Real-Time Multi-Modal Monitoring Workflow for Medical Imaging AI. MICCAI (3) 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
2023	J	`jnl`	Identifying Spurious Correlations using Counterfactual Alignment. CoRR Joseph Paul Cohen, Louis Blankemeier, Akshay Chaudhari
2023	J	`jnl`	The Effect of Counterfactuals on Reading Chest X-rays. CoRR Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
2022	J	`jnl`	CheXstray: Real-time Multi-Modal Data Concordance for Drift Detection in Medical Imaging AI. CoRR Arjun Soin, Jameson Merkow, Jin Long, Joseph Paul Cohen, Smitha Saligrama, Stephen Kaiser, Steven Borg, Ivan Tarapov, Matthew P. Lungren
2022	J	`jnl`	Medical Image Segmentation Review: The success of U-Net. CoRR Reza Azad, Ehsan Khodapanah Aghdam, Amelie Rauland, Yiwei Jia, Atlas Haddadi Avval, Afshin Bozorgpour, Sanaz Karimijafarbigloo, Joseph Paul Cohen, Ehsan Adeli, Dorit Merhof
2022	J	`jnl`	The promise of machine learning applications in solid organ transplantation. npj Digit. Medicine 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
2022	—	`conf`	TorchXRayVision: A library of chest X-ray datasets and models. MIDL 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
2021	—	`conf`	Benefits of Linear Conditioning for Segmentation using Metadata. MIDL Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
2021	J	`jnl`	Benefits of Linear Conditioning for Segmentation using Metadata. CoRR Andréanne Lemay, Charley Gros, Olivier Vincent, Yaou Liu, Joseph Paul Cohen, Julien Cohen-Adad
2021	J	`jnl`	Deep semantic segmentation of natural and medical images: a review. Artif. Intell. Rev. Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
2021	—	`conf`	Exploring the Wasserstein metric for time-to-event analysis. SPACA Tristan Sylvain, Margaux Luck, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
2021	—	`conf`	Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays. MIDL Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
2021	J	`jnl`	Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. CoRR Joseph Paul Cohen, Rupert Brooks, Sovann En, Evan Zucker, Anuj Pareek, Matthew P. Lungren, Akshay Chaudhari
2021	J	`jnl`	Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models. CoRR Enoch Tetteh, Joseph D. Viviano, Yoshua Bengio, David Krueger, Joseph Paul Cohen
2021	A*	`conf`	Saliency is a Possible Red Herring When Diagnosing Poor Generalization. ICLR Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
2021	A*	`conf`	Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2021	J	`jnl`	TorchXRayVision: A library of chest X-ray datasets and models. CoRR 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
2021	J	`jnl`	ivadomed: A Medical Imaging Deep Learning Toolbox. J. Open Source Softw. Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Marie-Hélène Bourget, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
2020	J	`jnl`	A Benchmark of Medical Out of Distribution Detection. CoRR Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen
2020	J	`jnl`	Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts? CoRR Olivier Vincent, Charley Gros, Joseph Paul Cohen, Julien Cohen-Adad
2020	J	`jnl`	COVID-19 Image Data Collection. CoRR Joseph Paul Cohen, Paul Morrison, Lan Dao
2020	J	`jnl`	COVID-19 Image Data Collection: Prospective Predictions Are the Future. CoRR Joseph Paul Cohen, Paul Morrison, Lan Dao, Karsten Roth, Tim Q. Duong, Marzyeh Ghassemi
2020	—	`conf`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. ECCV (8) Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning. CoRR Timo Milbich, Karsten Roth, Homanga Bharadhwaj, Samarth Sinha, Yoshua Bengio, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Factorized embeddings learns rich and biologically meaningful embedding spaces using factorized tensor decomposition. Bioinform. Assya Trofimov, Joseph Paul Cohen, Yoshua Bengio, Claude Perreault, Sébastien Lemieux
2020	—	`conf`	On the limits of cross-domain generalization in automated X-ray prediction. MIDL Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand
2020	J	`jnl`	On the limits of cross-domain generalization in automated X-ray prediction. CoRR Joseph Paul Cohen, Mohammad Hashir, Rupert Brooks, Hadrien Bertrand
2020	J	`jnl`	Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning. CoRR 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
2020	—	`conf`	Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. MIDL Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
2020	J	`jnl`	Quantifying the Value of Lateral Views in Deep Learning for Chest X-rays. CoRR Mohammad Hashir, Hadrien Bertrand, Joseph Paul Cohen
2020	A*	`conf`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. ICML Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	Revisiting Training Strategies and Generalization Performance in Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Samarth Sinha, Prateek Gupta, Björn Ommer, Joseph Paul Cohen
2020	J	`jnl`	S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning. CoRR Karsten Roth, Timo Milbich, Björn Ommer, Joseph Paul Cohen, Marzyeh Ghassemi
2020	J	`jnl`	Spine intervertebral disc labeling using a fully convolutional redundant counting model. CoRR Lucas Rouhier, Francisco Perdigón Romero, Joseph Paul Cohen, Julien Cohen-Adad
2020	—	`conf`	Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction. PRIME@MICCAI Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen
2020	J	`jnl`	Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction. CoRR Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen
2020	J	`jnl`	ivadomed: A Medical Imaging Deep Learning Toolbox. CoRR Charley Gros, Andréanne Lemay, Olivier Vincent, Lucas Rouhier, Anthime Bucquet, Joseph Paul Cohen, Julien Cohen-Adad
2019	—	`conf`	Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. ICLR (Poster) Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
2019	J	`jnl`	Analysis of Gene Interaction Graphs for Biasing Machine Learning Models. CoRR Paul Bertin, Mohammad Hashir, Martin Weiss, Geneviève Boucher, Vincent Frappier, Joseph Paul Cohen
2019	J	`jnl`	Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System. CoRR Joseph Paul Cohen, Paul Bertin, Vincent Frappier
2019	J	`jnl`	Deep Semantic Segmentation of Natural and Medical Images: A Review. CoRR Saeid Asgari Taghanaki, Kumar Abhishek, Joseph Paul Cohen, Julien Cohen-Adad, Ghassan Hamarneh
2019	J	`jnl`	Do Lateral Views Help Automated Chest X-ray Predictions? CoRR Hadrien Bertrand, Mohammad Hashir, Joseph Paul Cohen
2019	J	`jnl`	GradMask: Reduce Overfitting by Regularizing Saliency. CoRR Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
2019	J	`jnl`	Icentia11K: An Unsupervised Representation Learning Dataset for Arrhythmia Subtype Discovery. CoRR Shawn Tan, Guillaume Androz, Ahmad Chamseddine, Pierre Fecteau, Aaron C. Courville, Yoshua Bengio, Joseph Paul Cohen
2019	J	`jnl`	Is graph biased feature selection of genes better than random? CoRR Mohammad Hashir, Paul Bertin, Martin Weiss, Vincent Frappier, Theodore Perkins, Geneviève Boucher, Joseph Paul Cohen
2019	Misc	`conf`	Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRL Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019	J	`jnl`	Navigation Agents for the Visually Impaired: A Sidewalk Simulator and Experiments. CoRR Martin Weiss, Simon Chamorro, Roger Girgis, Margaux Luck, Samira Ebrahimi Kahou, Joseph Paul Cohen, Derek Nowrouzezahrai, Doina Precup, Florian Golemo, Chris Pal
2019	J	`jnl`	The TCGA Meta-Dataset Clinical Benchmark. CoRR Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen
2019	J	`jnl`	Torchmeta: A Meta-Learning library for PyTorch. CoRR Tristan Deleu, Tobias Würfl, Mandana Samiei, Joseph Paul Cohen, Yoshua Bengio
2019	J	`jnl`	Underwhelming Generalization Improvements From Controlling Feature Attribution. CoRR Joseph D. Viviano, Becks Simpson, Francis Dutil, Yoshua Bengio, Joseph Paul Cohen
2018	J	`jnl`	A Survey of Mobile Computing for the Visually Impaired. CoRR Martin Weiss, Margaux Luck, Roger Girgis, Chris Pal, Joseph Paul Cohen
2018	J	`jnl`	Adversarial Domain Adaptation for Stable Brain-Machine Interfaces. CoRR Ali Farshchian, Juan Alvaro Gallego, Joseph Paul Cohen, Yoshua Bengio, Lee E. Miller, Sara A. Solla
2018	—	`conf`	Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. MICCAI (1) Joseph Paul Cohen, Margaux Luck, Sina Honari
2018	J	`jnl`	Distribution Matching Losses Can Hallucinate Features in Medical Image Translation. CoRR Joseph Paul Cohen, Margaux Luck, Sina Honari
2018	J	`jnl`	Learning to rank for censored survival data. CoRR Margaux Luck, Tristan Sylvain, Joseph Paul Cohen, Héloïse Cardinal, Andrea Lodi, Yoshua Bengio
2018	J	`jnl`	Towards Gene Expression Convolutions using Gene Interaction Graphs. CoRR Francis Dutil, Joseph Paul Cohen, Martin Weiss, Georgy Derevyanko, Yoshua Bengio
2018	J	`jnl`	Towards the Latent Transcriptome. CoRR Assya Trofimov, Francis Dutil, Claude Perreault, Sébastien Lemieux, Yoshua Bengio, Joseph Paul Cohen
2017	—	`conf`	Count-ception: Counting by Fully Convolutional Redundant Counting. ICCV Workshops Joseph Paul Cohen, Geneviève Boucher, Craig A. Glastonbury, Henry Z. Lo, Yoshua Bengio
2017	J	`jnl`	Count-ception: Counting by Fully Convolutional Redundant Counting. CoRR Joseph Paul Cohen, Henry Z. Lo, Yoshua Bengio
2017	—	`conf`	GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. NIPS Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	GibbsNet: Iterative Adversarial Inference for Deep Graphical Models. CoRR Alex Lamb, R. Devon Hjelm, Yaroslav Ganin, Joseph Paul Cohen, Aaron C. Courville, Yoshua Bengio
2017	J	`jnl`	ShortScience.org - Reproducing Intuition. CoRR Joseph Paul Cohen, Henry Z. Lo
2016	J	`jnl`	Academic Torrents: Scalable Data Distribution. CoRR Henry Z. Lo, Joseph Paul Cohen
2016	J	`jnl`	Crater Detection via Convolutional Neural Networks. CoRR Joseph Paul Cohen, Henry Z. Lo, Tingting Lu, Wei Ding
2016	J	`jnl`	RandomOut: Using a convolutional gradient norm to win The Filter Lottery. CoRR Joseph Paul Cohen, Henry Z. Lo, Wei Ding
2016	J	`jnl`	Rapid building detection using machine learning. Appl. Intell. Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
2016	J	`jnl`	Rapid building detection using machine learning. CoRR Joseph Paul Cohen, Wei Ding, Caitlin Kuhlman, Aijun Chen, Liping Di
2015	A	`conf`	One-Day Activities for K-12 Face-to-Face Outreach. SIGCSE Daniel D. Garcia, Wei Ding, Joseph Paul Cohen, Barbara Ericson, Jeff Gray, Dale Reed
2015	B	`conf`	Prediction gradients for feature extraction and analysis from convolutional neural networks. FG Henry Z. Lo, Joseph Paul Cohen, Wei Ding
2015	J	`jnl`	Semi-Supervised Web Wrapper Repair via Recursive Tree Matching. CoRR Joseph Paul Cohen, Wei Ding, Abraham Bagherjeiran
2015	—	`conf`	Spatio-temporal asynchronous co-occurrence pattern for big climate data towards long-lead flood prediction. IEEE BigData Chung-Hsien Yu, Dong Luo, Wei Ding, Joseph Paul Cohen, David L. Small, Shafiqul Islam
2015	J	`jnl`	The cost of reading research. A study of Computer Science publication venues. CoRR Joseph Paul Cohen, Carla Aravena, Wei Ding
2014	—	`conf`	Academic Torrents: A Community-Maintained Distributed Repository. XSEDE Joseph Paul Cohen, Henry Z. Lo
2014	J	`jnl`	Comparing semantically-blind and semantically-aware landscape similarity measures with application to query-by-content and regionalization. Ecol. Informatics Tomasz F. Stepinski, Joseph Paul Cohen
2014	B	`conf`	PASA: Passive broadcast for smartphone ad-hoc networks. ICCCN Ying Mao, Jiayin Wang, Joseph Paul Cohen, Bo Sheng
2013	J	`jnl`	Wireless Message Dissemination via Selective Relay over Bluetooth (MDSRoB). CoRR Joseph Paul Cohen
2011	—	`conf`	Bernoulli trials based feature selection for crater detection. GIS Siyi Liu, Wei Ding, Joseph Paul Cohen, Dan A. Simovici, Tomasz F. Stepinski
2011	—	`conf`	Genetically Enhanced Feature Selection of Discriminative Planetary Crater Image Features. Australasian Conference on Artificial Intelligence Joseph Paul Cohen, Siyi Liu, Wei Ding