| COVID-19 Image Data Collection JP Cohen, P Morrison, L Dao arXiv:2003.11597, 2020 | 1529* | 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 | 1117* | 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 | 1047* | 2019 |
| Medical Image Segmentation Review: The Success of U-Net R Azad, EK Aghdam, A Rauland, Y Jia, AH Avval, A Bozorgpour, ... Transactions on Pattern Analysis and Machine Intelligence, 2022 | 962 | 2022 |
| Distribution Matching Losses Can Hallucinate Features in Medical Image Translation JP Cohen, M Luck, S Honari Medical Image Computing & Computer Assisted Intervention (MICCAI), 2018 | 451 | 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 | 311 | 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 | 233 | 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 | 231* | 2017 |
| 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 | 217 | 2022 |
| 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 | 208 | 2020 |
| 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 | 199 | 2020 |
| Chexagent: Towards a foundation model for chest x-ray interpretation Z Chen, M Varma, JB Delbrouck, M Paschali, L Blankemeier, D Van Veen, ... AAAI 2024 Spring Symposium on Clinical Foundation Models, 2024 | 191 | 2024 |
| Challenge Based Learning in Cybersecurity Education RS Cheung, JP Cohen, HZ Lo, F Elia International Conference on Security & Management (SAM), 2011 | 176 | 2011 |
| Implementing machine learning in medicine AA Verma, J Murray, R Greiner, JP Cohen, KG Shojania, M Ghassemi, ... Canadian Medical Association Journal, 2021 | 159 | 2021 |
| Merlin: A Vision Language Foundation Model for 3D Computed Tomography L Blankemeier, JP Cohen, A Kumar, D Van Veen, SJS Gardezi, ... arXiv preprint arXiv:2406.06512, 2024 | 138 | 2024 |
| 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 | 137 | 2020 |
| Torchmeta: A Meta-Learning library for PyTorch T Deleu, T Würfl, M Samiei, JP Cohen, Y Bengio arXiv preprint arXiv:1909.06576, 2019 | 112 | 2019 |
| 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 | 110 | 2018 |
| The promise of machine learning applications in solid organ transplantation N Gotlieb, A Azhie, D Sharma, A Spann, NJ Suo, J Tran, ... Nature Digital Medicine, 2022 | 104 | 2022 |
| Chester: A Web Delivered Locally Computed Chest X-Ray Disease Prediction System JP Cohen, P Bertin, V Frappier arXiv preprint arXiv:1901.11210, 2019 | 95* | 2019 |
Lan DaoMD, University of MontrealVerified email at umontreal.ca
