| Canadian Association of Radiologists white paper on artificial intelligence in radiology A Tang, R Tam, A Cadrin-Chênevert, W Guest, J Chong, J Barfett, ... Canadian Association of Radiologists Journal 69 (2), 120-135, 2018 | 629 | 2018 |
| Deep learning workflow in radiology: a primer E Montagnon, M Cerny, A Cadrin-Chênevert, V Hamilton, T Derennes, ... Insights into imaging 11 (1), 22, 2020 | 229 | 2020 |
| Deep learning: an update for radiologists PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ... Radiographics 41 (5), 1427-1445, 2021 | 207 | 2021 |
| Tackling the radiological society of North America pneumonia detection challenge I Pan, A Cadrin-Chênevert, PM Cheng American Journal of Roentgenology 213 (3), 568-574, 2019 | 84 | 2019 |
| Coronary computed tomography angiography: overview of technical aspects, current concepts, and perspectives C Chartrand-Lefebvre, A Cadrin-Chênevert, E Bordeleau, P Ugolini, ... Journal-Canadian Association of Radiologists 58 (2), 92, 2007 | 57 | 2007 |
| Assessment of radiology artificial intelligence software: a validation and evaluation framework W Tanguay, P Acar, B Fine, M Abdolell, B Gong, A Cadrin-Chênevert, ... Canadian Association of Radiologists Journal 74 (2), 326-333, 2023 | 54 | 2023 |
| A comparison of cervical spine motion during orotracheal intubation with the Trachlight® or the flexible fiberoptic bronchoscope BJ Houde, SR Williams, A Cadrin-Chênevert, F Guilbert, P Drolet Anesthesia & Analgesia 108 (5), 1638-1643, 2009 | 45 | 2009 |
| A DICOM framework for machine learning and processing pipelines against real-time radiology images P Kathiravelu, P Sharma, A Sharma, I Banerjee, H Trivedi, S Purkayastha, ... Journal of Digital Imaging 34 (4), 1005-1013, 2021 | 29 | 2021 |
| Moving from ImageNet to RadImageNet for improved transfer learning and generalizability A Cadrin-Chênevert Radiology: Artificial Intelligence 4 (5), e220126, 2022 | 25 | 2022 |
| Simulating federated learning for steatosis detection using ultrasound images Y Qi, P Vianna, A Cadrin-Chênevert, K Blanchet, E Montagnon, ... Scientific Reports 14 (1), 13253, 2024 | 13 | 2024 |
| Radiomics analysis of baseline computed tomography to predict oncological outcomes in patients treated for resectable colorectal cancer liver metastasis E Montagnon, M Cerny, V Hamilton, T Derennes, A Ilinca, MEA Elforaici, ... Plos one 19 (9), e0307815, 2024 | 9 | 2024 |
| Upgrade rate of atypical ductal hyperplasia: ten years experience and predictive factors N Gagnon, E Martel, A Cadrin-Chênevert, E Ledoux, C Racicot, R Villiard Journal of Surgical Research 266, 311-318, 2021 | 9 | 2021 |
| Interpretable clinical phenotypes among patients hospitalized with COVID-19 using cluster analysis E Yamga, L Mullie, M Durand, A Cadrin-Chenevert, A Tang, E Montagnon, ... Frontiers in Digital Health 5, 1142822, 2023 | 8 | 2023 |
| Unleashing the Power of Deep Learning for Breast Cancer Detection through Open Mammography Datasets A Cadrin-Chênevert Radiology: Artificial Intelligence 5 (2), e220294, 2023 | 5 | 2023 |
| Navigating Clinical Variability: Transfer Learning’s Impact on Imaging Model Performance A Cadrin-Chênevert Radiology: Artificial Intelligence 6 (4), e240263, 2024 | 3 | 2024 |
| Deep learning models connecting images and text: A primer for radiologists AN Wu, M Kulbay, PM Cheng, A Cadrin-Chênevert, L Létourneau-Guillon, ... RadioGraphics 45 (9), e240103, 2025 | 2 | 2025 |
| Developing and Deploying Machine Learning Pipelines against Real-Time Image Streams from the PACS P Kathiravelu, A Sharma, S Purkayastha, P Sinha, A Cadrin-Chenevert, ... arXiv preprint arXiv:2004.07965 10, 1-29, 2020 | 2 | 2020 |
| Beyond Double Reading: Multiple Deep Learning Models Enhancing Radiologist-led Breast Screening A Cadrin-Chênevert Radiology: Artificial Intelligence 7 (3), e250125, 2025 | 1 | 2025 |
| Identifying COVID-19 phenotypes using cluster analysis and assessing their clinical outcomes E Yamga, L Mullie, M Durand, A Cadrin-Chenevert, A Tang, E Montagnon, ... medRxiv, 2022.05. 27.22275708, 2022 | 1 | 2022 |
| Upgrade rate of atypical ductal hyperplasia: 10 years of experience and predictive factors N Gagnon, R Villiard, É Martel, A Cadrin-Chenevert, É Ledoux, C Racicot Canadian Journal of Surgery 64, S139-S139, 2021 | | 2021 |
An Tang, MD, MScProfessor of Radiology, University of MontrealVerified email at umontreal.ca
