Joseph Paul Cohen

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Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARVerified email at umontreal.ca
Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITVerified email at mit.edu
Karsten RothELLIS, IMPRS-IS, University of TübingenVerified email at uni-tuebingen.de
Julien Cohen-Adad, PhDAssociate Professor of Biomedical Engineering, Polytechnique MontrealVerified email at polymtl.ca
Wei Ding, Fellow of IEEEProfessor of Computer Science, University of Massachusetts BostonVerified email at umb.edu
Margaux LuckMila - Quebec Artificial Intelligence InstituteVerified email at mila.quebec
Mohammad HashirMilaVerified email at umontreal.ca
Paul BertinMila, University of MontrealVerified email at polytechnique.edu
Rupert BrooksMicrosoftVerified email at microsoft.com
Joseph D VivianoMila Quebec AI InstituteVerified email at viviano.ca
Hadrien BertrandMilaVerified email at mila.quebec
Lan DaoMD, University of MontrealVerified email at umontreal.ca
Vincent FrappierGenerate BiomedicinesVerified email at fvl56.com
Matthew LungrenChief Data Science Officer Microsoft HLS, Associate Professor UCSF, Adjunct Professor StanfordVerified email at stanford.edu
Martin CS WeissMilaVerified email at mila.quebec
Timo MilbichAignostics GmbHVerified email at aignostics.com
Geneviève BoucherInstitut de recherche en immunologie et cancérologie (IRIC), Université de MontréalVerified email at umontreal.ca
Akshay ChaudhariAssistant Professor, Stanford UniversityVerified email at stanford.edu
Russ GreinerProfessor of Computing Science, University of Alberta; CIFAR AI ChairVerified email at ualberta.ca
Chin-Wei HuangMicrosoft ResearchVerified email at microsoft.com

Joseph Paul Cohen

Other namesJoseph Cohen

Amazon, AIMI (Stanford University), Mila (Quebec AI Institute)

Verified email at stanford.edu - Homepage

Medical Imaging Explainable AI Genomics Computer Vision Representation Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
COVID-19 Image Data Collection JP Cohen, P Morrison, L Dao arXiv:2003.11597, 2020	1394*	2020
COVID-19 Image Data Collection: Prospective Predictions are the Future JP Cohen, P Morrison, L Dao, K Roth, TQ Duong, M Ghassemi Journal of Machine Learning for Biomedical Imaging (MELBA), 2020	969*	2020
Deep Semantic Segmentation of Natural and Medical Images: A Review SA Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh Artificial Intelligence Review, 2019	781*	2019
Distribution Matching Losses Can Hallucinate Features in Medical Image Translation JP Cohen, M Luck, S Honari Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018	366	2018
Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning JP Cohen, L Dao, P Morrison, K Roth, Y Bengio, B Shen, A Abbasi, ... arXiv:2005.11856, 2020	280	2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning K Roth, T Milbich, S Sinha, P Gupta, B Ommer, JP Cohen International Conference on Machine Learning (ICML), 2020	197	2020
Count-ception: Counting by Fully Convolutional Redundant Counting JP Cohen, G Boucher, CA Glastonbury, HZ Lo, Y Bengio International Conference on Computer Vision (ICCV) Bioimage Computing (BIC), 2017	187*	2017
Medical Image Segmentation Review: The Success of U-Net R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ... arXiv:2211.14830, 2022	171	2022
Challenge Based Learning in Cybersecurity Education RS Cheung, JP Cohen, HZ Lo, F Elia International Conference on Security & Management (SAM), 2011	156	2011
On the limits of cross-domain generalization in automated X-ray prediction JP Cohen, M Hashir, R Brooks, H Bertrand Medical Imaging with Deep Learning (MIDL), 2020	153	2020
BigBrain 3D atlas of cortical layers: cortical and laminar thickness gradients diverge in sensory and motor cortices K Wagstyl, S Larocque, G Cucurull, C Lepage, JP Cohen, S Bludau, ... PLOS Biology, 2020	150	2020
TorchXRayVision: A library of chest X-ray datasets and models JP Cohen, J Viviano, P Morrison, R Brooks, M Hashir, H Bertrand Medical Imaging with Deep Learning (MIDL), arXiv:2111.00595, 2022	121	2022
Uniformizing Techniques to Process CT scans with 3D CNNs for Tuberculosis Prediction H Zunair, A Rahman, N Mohammed, JP Cohen MICCAI PRedictive Intelligence In MEdicine (PRIME), 2020	102	2020
Implementing machine learning in medicine AA Verma, J Murray, R Greiner, JP Cohen, KG Shojania, M Ghassemi, ... Canadian Medical Association Journal, 2021	101	2021
Torchmeta: A Meta-Learning library for PyTorch T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio arXiv preprint arXiv:1909.06576, 2019	96	2019
Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System JP Cohen, P Bertin, V Frappier arXiv preprint arXiv:1901.11210, 2019	83*	2019
A Benchmark of Medical Out of Distribution Detection T Cao, C Huang, DYT Hui, JP Cohen Uncertainty & Robustness in Deep Learning Workshop at ICML, 2020	77	2020
Adversarial Domain Adaptation for Stable Brain-Machine Interfaces A Farshchian, JA Gallego, JP Cohen, Y Bengio, LE Miller, SA Solla International Conference on Learning Representations 2019, 2018	74	2018
Effectiveness of Cybersecurity Competitions RS Cheung, JP Cohen, HZ Lo, F Elia, V Carrillo-Marquez Proceedings of the International Conference on Security and Management (SAM), 1, 2012	71	2012
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning T Milbich, K Roth, H Bharadhwaj, S Sinha, Y Bengio, B Ommer, JP Cohen European Conference on Computer Vision (ECCV), 2020	70	2020

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