Hoel Kervadec
Hoel Kervadec
ÉTS Montréal
在 etsmtl.net 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
802019
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
642019
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
13*2019
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, IB Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
112019
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
72020
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
72019
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
Neural Networks 130, 297-308, 2020
62020
Source-Relaxed Domain Adaptation for Image Segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
arXiv preprint arXiv:2005.03697, 2020
12020
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?
M Boudiaf, H Kervadec, ZI Masud, P Piantanida, IB Ayed, J Dolz
arXiv preprint arXiv:2012.06166, 2020
2020
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