Gabriel Chartrand
Gabriel Chartrand
AFX Medical
Verified email at ens.etsmtl.ca - Homepage
Title
Cited by
Cited by
Year
The importance of skip connections in biomedical image segmentation
M Drozdzal, E Vorontsov, G Chartrand, S Kadoury, C Pal
Deep learning and data labeling for medical applications, 179-187, 2016
5742016
Deep learning: a primer for radiologists
G Chartrand, PM Cheng, E Vorontsov, M Drozdzal, S Turcotte, CJ Pal, ...
Radiographics 37 (7), 2113-2131, 2017
4342017
The liver tumor segmentation benchmark (lits)
P Bilic, PF Christ, E Vorontsov, G Chlebus, H Chen, Q Dou, CW Fu, X Han, ...
arXiv preprint arXiv:1901.04056, 2019
2072019
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
1812018
Effects of insulin glargine and liraglutide therapy on liver fat as measured by magnetic resonance in patients with type 2 diabetes: a randomized trial
A Tang, R Rabasa-Lhoret, H Castel, C Wartelle-Bladou, G Gilbert, ...
Diabetes Care 38 (7), 1339-1346, 2015
842015
Liver segmentation: indications, techniques and future directions
A Gotra, L Sivakumaran, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Insights into imaging 8 (4), 377-392, 2017
762017
Liver lesion segmentation informed by joint liver segmentation
E Vorontsov, A Tang, C Pal, S Kadoury
2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018
682018
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
442016
Learning to learn with conditional class dependencies
X Jiang, M Havaei, F Varno, G Chartrand, N Chapados, S Matwin
international conference on learning representations, 2018
362018
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
342016
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
282014
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
192015
Comparison of MRI-and CT-based semiautomated liver segmentation: a validation study
A Gotra, G Chartrand, KN Vu, F Vandenbroucke-Menu, ...
Abdominal Radiology 42 (2), 478-489, 2017
152017
[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
152015
Attentive task-agnostic meta-learning for few-shot text classification
X Jiang, M Havaei, G Chartrand, H Chouaib, T Vincent, A Jesson, ...
122018
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
92014
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
72018
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
52016
Accuracy of a semi-automated liver segmentation method using CT scan
G Chartrand, C Belanger, A Gotra, R Chav, C Kauffman, JA De Guise, ...
European Congress of Radiology-ECR 2013, 2013
32013
Segmentation 3D du foie
G Chartrand
École de technologie supérieure, 2017
12017
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Articles 1–20