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, 2011
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
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
Within-network classification using local structure similarity
C Desrosiers, G Karypis
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2009
Esophagus segmentation in CT via 3D fully convolutional neural network and random walk
T Fechter, S Adebahr, D Baltas, IB Ayed, C Desrosiers, J Dolz
Medical physics 44 (12), 6341-6352, 2017
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
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
Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder
A Chaddad, C Desrosiers, L Hassan, C Tanougast
BMC neuroscience 18 (1), 52, 2017
Vesselwalker: Coronary arteries segmentation using random walks and hessian-based vesselness filter
F M'hiri, L Duong, C Desrosiers, M Cheriet
2013 IEEE 10th International Symposium on Biomedical Imaging, 918-921, 2013
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
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
Multi texture analysis of colorectal cancer continuum using multispectral imagery
A Chaddad, C Desrosiers, A Bouridane, M Toews, L Hassan, ...
PloS one 11 (2), e0149893, 2016
Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
AK Mondal, J Dolz, C Desrosiers
arXiv preprint arXiv:1810.12241, 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
Classifications of multispectral colorectal cancer tissues using convolution neural network
H Haj-Hassan, A Chaddad, Y Harkouss, C Desrosiers, M Toews, ...
Journal of pathology informatics 8, 2017
Using heuristics to find minimal unsatisfiable subformulas in satisfiability problems
C Desrosiers, P Galinier, A Hertz, S Paroz
Journal of combinatorial optimization 18 (2), 124-150, 2009
Efficient algorithms for finding critical subgraphs
C Desrosiers, P Galinier, A Hertz
Discrete Applied Mathematics 156 (2), 244-266, 2008
Deep radiomic analysis of MRI related to Alzheimer’s disease
A Chaddad, C Desrosiers, T Niazi
IEEE Access 6, 58213-58221, 2018
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