Jose Dolz
Jose Dolz
Assistant Professor, ETS Montreal
Verified email at etsmtl.ca - Homepage
Title
Cited by
Cited by
Year
3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study
J Dolz, C Desrosiers, IB Ayed
NeuroImage 170, 456--470, 2018
2162018
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
992019
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
612019
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
432015
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
422017
Benchmark on Automatic 6-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, 2019
362019
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, É Granger, J Dolz, I Ben Ayed
Medical Imaging with Deep Learning (MIDL), 2019
352019
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
322018
Few-shot 3d multi-modal medical image segmentation using generative adversarial learning
AK Mondal, J Dolz, C Desrosiers
arXiv preprint arXiv:1810.12241, 2018
292018
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
292016
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
282020
User interaction in semi-automatic segmentation of organs at risk: a case study in radiotherapy
A Ramkumar, J Dolz, HA Kirisli, S Adebahr, T Schimek-Jasch, U Nestle, ...
Journal of digital imaging 29 (2), 264-277, 2016
262016
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
242018
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
212019
Multi-scale self-guided attention for medical image segmentation
A Sinha, J Dolz
IEEE Journal of Biomedical and Health Informatics, 2020
19*2020
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
192018
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
192018
Supervised machine learning-based classification scheme to segment the brainstem on MRI in multicenter brain tumor treatment context
J Dolz, A Laprie, S Ken, HA Leroy, N Reyns, L Massoptier, M Vermandel
International Journal of Computer Assisted Radiology and Surgery, 1-9, 2015
152015
An attention model for group-level emotion recognition
A Gupta, D Agrawal, H Chauhan, J Dolz, M Pedersoli
Proceedings of the 20th ACM International Conference on Multimodal …, 2018
142018
Interactive contour delineation of organs at risk in radiotherapy: Clinical evaluation on NSCLC patients
J Dolz, HA Kirisli, T Fechter, S Karnitzki, O Oehlke, U Nestle, M Vermandel, ...
Medical Physics 43 (5), 2569-2580, 2016
142016
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