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Hoel Kervadec
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Boundary loss for highly unbalanced segmentation
H Kervadec, J Bouchtiba, C Desrosiers, E Granger, J Dolz, IB Ayed
Medical image analysis 67, 2021
4822021
Constrained-CNN losses for weakly supervised segmentation
H Kervadec, J Dolz, M Tang, E Granger, Y Boykov, IB Ayed
Medical Image Analysis 54, 2019
2792019
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
CVPR, 2021
1872021
Source-relaxed domain adaptation for image segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
972020
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
912020
Curriculum semi-supervised segmentation
H Kervadec, J Dolz, E Granger, IB Ayed
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
852019
Constrained Deep Networks: Lagrangian Optimization via Log-Barrier Extensions
H Kervadec, J Dolz, J Yuan, C Desrosiers, E Granger, IB Ayed
EUSIPCO, 962--966, 2022
692022
Source-Free Domain Adaptation for Image Segmentation
M Bateson, J Dolz, H Kervadec, H Lombaert, IB Ayed
Medical Image Analysis, 102617, 2022
432022
Discretely-constrained deep network for weakly supervised segmentation
J Peng, H Kervadec, J Dolz, IB Ayed, M Pedersoli, C Desrosiers
Neural Networks 130, 2020
382020
Constrained domain adaptation for segmentation
M Bateson, H Kervadec, J Dolz, H Lombaert, IB Ayed
Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2019
282019
Constrained domain adaptation for image segmentation
M Bateson, J Dolz, H Kervadec, H Lombaert, IB Ayed
IEEE Transactions on Medical Imaging 40 (7), 1875-1887, 2021
172021
Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors
H Kervadec, H Bahig, L Letourneau-Guillon, J Dolz, IB Ayed
Medical Imaging with Deep Learning (MIDL), 2021
15*2021
Log-barrier constrained cnns
H Kervadec, J Dolz, J Yuan, C Desrosiers, E Granger, IB Ayed
Computing Research Repository (CoRR), 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
82014
Laplacian pyramid-based complex neural network learning for fast MR imaging
H Liang, Y Gong, H Kervadec, C Li, J Yuan, X Liu, H Zheng, S Wang
Medical Imaging with Deep Learning (MIDL), 2020
42020
Nested star-shaped objects segmentation using diameter annotations
R Camarasa, H Kervadec, ME Kooi, J Hendrikse, PJ Nederkoorn, D Bos, ...
Medical image analysis 90, 102934, 2023
22023
On the dice loss variants and sub-patching
H Kervadec, M De Bruijne
Medical Imaging with Deep Learning, short paper track, 2023
22023
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation
R Camarasa, H Kervadec, D Bos, M de Bruijne
Medical Imaging with Deep Learning, 2022
22022
Constrained deep networks for medical image segmentation
H Kervadec
École de technologie supérieure, 2020
22020
On the dice loss gradient and the ways to mimic it
H Kervadec, M de Bruijne
arXiv preprint arXiv:2304.04319, 2023
12023
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