Hoel Kervadec
Hoel Kervadec
ÉTS Montréal
Verified email at etsmtl.net
TitleCited byYear
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
32*2019
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
122019
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
Discretely-constrained deep network for weakly supervised segmentation
J Peng, H Kervadec, J Dolz, IB Ayed, M Pedersoli, C Desrosiers
arXiv preprint arXiv:1908.05770, 2019
22019
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, IB Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
22019
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
1*2019
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
2019
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