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Gabriel Chartrand
Gabriel Chartrand
AFX Medical
Email confirmado em ens.etsmtl.ca - Página inicial
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The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
International workshop on deep learning in medical image analysis …, 2016
13022016
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
11032017
The liver tumor segmentation benchmark (lits)
P Bilic, P Christ, HB Li, E Vorontsov, A Ben-Cohen, G Kaissis, A Szeskin, ...
Medical Image Analysis 84, 102680, 2023
10682023
Learning normalized inputs for iterative estimation in medical image segmentation
M Drozdzal, G Chartrand, E Vorontsov, M Shakeri, L Di Jorio, A Tang, ...
Medical image analysis 44, 1-13, 2018
2692018
Liver segmentation: indications, techniques and future directions
A Gotra, L Sivakumaran, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Insights into imaging 8, 377-392, 2017
2032017
Effects of insulin glargine and liraglutide therapy on liver fat as measured by magnetic resonance in patients with type 2 diabetes: a randomized trial
AN Tang, R Rabasa-Lhoret, H Castel, C Wartelle-Bladou, G Gilbert, ...
Diabetes care 38 (7), 1339-1346, 2015
1352015
Deep learning: an update for radiologists
PM Cheng, E Montagnon, R Yamashita, I Pan, A Cadrin-Chênevert, ...
Radiographics 41 (5), 1427-1445, 2021
1082021
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
international conference on learning representations, 2019
932019
Liver segmentation on CT and MR using Laplacian mesh optimization
G Chartrand, T Cresson, R Chav, A Gotra, A Tang, JA De Guise
IEEE Transactions on Biomedical Engineering 64 (9), 2110-2121, 2016
742016
MRI‐determined liver proton density fat fraction, with MRS validation: Comparison of regions of interest sampling methods in patients with type 2 diabetes
KN Vu, G Gilbert, M Chalut, M Chagnon, G Chartrand, A Tang
Journal of Magnetic Resonance Imaging 43 (5), 1090-1099, 2016
632016
Semi-automated liver CT segmentation using Laplacian meshes
G Chartrand, T Cresson, R Chav, A Gotra, A Tang, J DeGuise
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 641-644, 2014
362014
Artificial intelligence in radiology residency training
MC Forney, AF McBride
Seminars in Musculoskeletal Radiology 24 (01), 74-80, 2020
302020
Comparison of MRI-and CT-based semiautomated liver segmentation: a validation study
A Gotra, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Abdominal radiology 42, 478-489, 2017
252017
Validation of a semiautomated liver segmentation method using CT for accurate volumetry
A Gotra, G Chartrand, K Massicotte-Tisluck, F Morin-Roy, ...
Academic radiology 22 (9), 1088-1098, 2015
252015
On the importance of attention in meta-learning for few-shot text classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
arXiv preprint arXiv:1806.00852, 2018
232018
[18F]-fluorodeoxyglucose positron emission tomography of the cat brain: a feasibility study to investigate osteoarthritis-associated pain
M Guillot, G Chartrand, R Chav, J Rousseau, JF Beaudoin, ...
The Veterinary Journal 204 (3), 299-303, 2015
212015
Attentive task-agnostic meta-learning for few-shot text classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
202018
Kidney segmentation from a single prior shape in MRI
R Chav, T Cresson, G Chartrand, C Kauffmann, G Soulez, JA de Guise
2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 818-821, 2014
132014
Automated Detection of Brain Metastases on T1‐Weighted MRI Using a Convolutional Neural Network: Impact of Volume Aware Loss and Sampling Strategy
G Chartrand, RD Emiliani, SA Pawlowski, DA Markel, H Bahig, ...
Journal of Magnetic Resonance Imaging 56 (6), 1885-1898, 2022
112022
3D knee segmentation based on three MRI sequences from different planes
L Zhou, R Chav, T Cresson, G Chartrand, J De Guise
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
72016
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