Hoel Kervadec
Hoel Kervadec
ÉTS Montréal
Verified email at etsmtl.net
Title
Cited by
Cited by
Year
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
722019
Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, É Granger, J Dolz, IB Ayed
International Conference on Medical Imaging with Deep Learning, 285-296, 2019
482019
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions
H Kervadec, J Dolz, J Yuan, C Desrosiers, E Granger, IB Ayed
arXiv preprint arXiv:1904.04205, 2019
10*2019
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, IB Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
102019
Polystyrene: The decentralized data shape that never dies
S Bouget, H Kervadec, AM Kermarrec, F Taïani
2014 IEEE 34th International Conference on Distributed Computing Systems …, 2014
72014
Constrained domain adaptation for segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
International Conference on Medical Image Computing and Computer-Assisted …, 2019
52019
Discretely-constrained deep network for weakly supervised segmentation
J Peng, H Kervadec, J Dolz, IB Ayed, M Pedersoli, C Desrosiers
Neural Networks 130, 297-308, 2020
42020
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
42020
Source-Relaxed Domain Adaptation for Image Segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
arXiv preprint arXiv:2005.03697, 2020
2020
The system can't perform the operation now. Try again later.
Articles 1–9