Christian Desrosiers
Christian Desrosiers
Professor, École de technologie supérieure - LIVIA - Regroupement stratégique REPARTI
Verified email at - Homepage
Cited by
Cited by
A comprehensive survey of neighborhood-based recommendation methods
C Desrosiers, G Karypis
Recommender systems handbook, 107-144, 2010
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, IB Ayed
International conference on medical imaging with deep learning, 285-296, 2019
HyperDense-Net: a hyper-densely connected CNN for multi-modal image segmentation
J Dolz, K Gopinath, J Yuan, H Lombaert, C Desrosiers, IB Ayed
IEEE transactions on medical imaging 38 (5), 1116-1126, 2018
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, IB Ayed
NeuroImage 170, 456-470, 2018
A comprehensive survey of neighborhood-based recommendation methods
X Ning, C Desrosiers, G Karypis
Recommender systems handbook, 37-76, 2015
Machine learning for the diagnosis of Parkinson's disease: a review of literature
J Mei, C Desrosiers, J Frasnelli
Frontiers in aging neuroscience 13, 633752, 2021
Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge
L Wang, D Nie, G Li, É Puybareau, J Dolz, Q Zhang, F Wang, J Xia, Z Wu, ...
IEEE transactions on medical imaging 38 (9), 2219-2230, 2019
Deep co-training for semi-supervised image segmentation
J Peng, G Estrada, M Pedersoli, C Desrosiers
Pattern Recognition 107, 107269, 2020
Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
AK Mondal, J Dolz, C Desrosiers
arXiv preprint arXiv:1810.12241, 2018
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
J Dolz, C Desrosiers, I Ben Ayed
International workshop and challenge on computational methods and clinical …, 2018
Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation
J Dolz, C Desrosiers, L Wang, J Yuan, D Shen, IB Ayed
Computerized Medical Imaging and Graphics 79, 101660, 2020
Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities
J Dolz, I Ben Ayed, C Desrosiers
Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
A Chaddad, C Desrosiers, L Hassan, C Tanougast
BMC neuroscience 18, 1-12, 2017
Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images
A Carass, JL Cuzzocreo, S Han, CR Hernandez-Castillo, PE Rasser, ...
Neuroimage 183, 150-172, 2018
Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks
J Dolz, X Xu, J Rony, J Yuan, Y Liu, E Granger, C Desrosiers, X Zhang, ...
Medical physics 45 (12), 5482-5493, 2018
Esophagus segmentation in CT via 3D fully convolutional neural network and random walk
T Fechter, S Adebahr, D Baltas, I Ben Ayed, C Desrosiers, J Dolz
Medical physics 44 (12), 6341-6352, 2017
Deep radiomic analysis of MRI related to Alzheimer’s disease
A Chaddad, C Desrosiers, T Niazi
Ieee Access 6, 58213-58221, 2018
Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time
A Chaddad, P Daniel, C Desrosiers, M Toews, B Abdulkarim
IEEE journal of biomedical and health informatics 23 (2), 795-804, 2018
Predicting survival time of lung cancer patients using radiomic analysis
A Chaddad, C Desrosiers, M Toews, B Abdulkarim
Oncotarget 8 (61), 104393, 2017
Constrained deep networks: Lagrangian optimization via log-barrier extensions
H Kervadec, J Dolz, J Yuan, C Desrosiers, E Granger, IB Ayed
2022 30th European Signal Processing Conference (EUSIPCO), 962-966, 2022
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