Seguir
Alexandre Cadrin-Chênevert
Alexandre Cadrin-Chênevert
CISSSL
Dirección de correo verificada de ulaval.ca - Página principal
Título
Citado por
Citado por
Año
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
4662018
Deep learning workflow in radiology: a primer
E Montagnon, M Cerny, A Cadrin-Chênevert, V Hamilton, T Derennes, ...
Insights into imaging 11, 1-15, 2020
1422020
Deep learning: an update for radiologists
PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ...
Radiographics 41 (5), 1427-1445, 2021
892021
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
642019
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
532007
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
402009
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
152023
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
132021
Moving from ImageNet to RadImageNet for improved transfer learning and generalizability
A Cadrin-Chênevert
Radiology: Artificial Intelligence 4 (5), e220126, 2022
112022
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
82021
Unleashing the Power of Deep Learning for Breast Cancer Detection through Open Mammography Datasets
A Cadrin-Chênevert
Radiology: Artificial Intelligence 5 (2), e220294, 2023
32023
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
22023
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
12022
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, 2020
12020
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, M Elforaici, ...
2023
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
Impact of Fasting Status on the Use of Klotho as a Biomarker
JS Paquette, N Gerard, CD Djade, A Cadrin-Chênevert, E Martel, ...
The Journal of Applied Laboratory Medicine 6 (5), 1276-1280, 2021
2021
Toward a More Quantitative and Specific Representation of Normality
A Cadrin-Chênevert
Radiology: Artificial Intelligence 3 (2), e210005, 2021
2021
Predictive Model for Assessment of Pathological Response of Colorectal Liver Metastases to Chemotherapy from CT Images
FP Romero, E Montagnon, M Cerny, A Cadrin-Chênevert, D Trudel, ...
arXiv preprint arXiv:1910.04105, 2019
2019
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–19