Jose Dolz
Cited by
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3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, IB Ayed
NeuroImage 170, 456--470, 2018
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
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
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
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
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
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 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
Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
AK Mondal, J Dolz, C Desrosiers
arXiv preprint arXiv:1810.12241, 2018
Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities
J Dolz, IB Ayed, C Desrosiers
International MICCAI Brainlesion Workshop, 271-282, 2018
Segmentation algorithms of subcortical brain structures on MRI for radiotherapy and radiosurgery: A survey
J Dolz, L Massoptier, M Vermandel
IRBM 36, 200-212, 2015
IVD-Net: Intervertebral disc localization and segmentation in MRI with a multi-modal UNet
J Dolz, C Desrosiers, IB Ayed
International workshop and challenge on computational methods and clinical …, 2018
Quantitative identification of nonmuscle‐invasive and muscle‐invasive bladder carcinomas: a multiparametric MRI radiomics analysis
X Xu, X Zhang, Q Tian, H Wang, LB Cui, S Li, X Tang, B Li, J Dolz, I Ayed, ...
Journal of Magnetic Resonance Imaging 49 (5), 1489-1498, 2019
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
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
Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: a clinical study
J Dolz, N Betrouni, M Quidet, D Kharroubi, HA Leroy, N Reyns, ...
Computerized Medical Imaging and Graphics, 2016
Laplacian Regularized Few-Shot Learning
Z Imtiaz, J Dolz, E Granger, I Ben Ayed
International Conference on Machine Learning (ICML), 2020
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, I Ben Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
Implicit causal models for genome-wide association studies
D Tran, DM Blei
arXiv preprint arXiv:1710.10742, 2017
Deep Interpretable Classification and Weakly-Supervised Segmentation of Histology Images via Max-Min Uncertainty
S Belharbi, J Rony, J Dolz, IB Ayed, L McCaffrey, E Granger
CoRR, abs/1907.12934, 2019
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