Jose Dolz
Jose Dolz
Associate Professor, ETS Montreal
Verified email at - Homepage
Cited by
Cited by
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, I Ben Ayed
Medical Image Analysis 67, 101851, 2021
HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation
J Dolz, K Gopinath, J Yuan, H Lombaert, C Desrosiers, I Ben Ayed
IEEE Transactions on Medical Imaging, 2019
Multi-scale self-guided attention for medical image segmentation
A Sinha, J Dolz
IEEE journal of biomedical and health informatics 25 (1), 121-130, 2021
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, IB Ayed
NeuroImage 170, 456--470, 2018
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed
Medical image analysis 54, 88-99, 2019
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
M Boudiaf, H Kervadec, ZI Masud, P Piantanida, I Ben Ayed, J Dolz
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 13979 …, 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
Transductive Information Maximization For Few-Shot Learning
M Boudiaf, ZI Masud, J Rony, J Dolz, P Piantanida, IB Ayed
Neural Information Processing Systems (NeurIPS) 2020, 2020
Laplacian Regularized Few-Shot Learning
Z Imtiaz, J Dolz, E Granger, I Ben Ayed
International Conference on Machine Learning (ICML), 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
Source-Relaxed Domain Adaptation for Image Segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 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
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
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision
H Kervadec, J Dolz, S Wang, E Granger, IB Ayed
Medical Imaging with Deep Learning (MIDL), 2020
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
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, I Ben Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
On the texture bias for few-shot cnn segmentation
R Azad, AR Fayjie, C Kauffmann, I Ben Ayed, M Pedersoli, J Dolz
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2674-2683, 2021
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