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Hoel Kervadec
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2020 – today
- 2024
- [c12]Eva Breznik
, Hoel Kervadec
Leveraging Point Annotations in Segmentation Learning with Boundary Loss. ICPR (13) 2024: 194-210 - 2023
- [j6]Robin Camarasa, Hoel Kervadec
Nested star-shaped objects segmentation using diameter annotations. Medical Image Anal. 90: 102934 (2023) - [i13]Hoel Kervadec, Marleen de Bruijne:
On the dice loss gradient and the ways to mimic it. CoRR abs/2304.04319 (2023) - [i12]Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand:
Leveraging point annotations in segmentation learning with boundary loss. CoRR abs/2311.03537 (2023) - 2022
- [j5]Mathilde Bateson
Source-free domain adaptation for image segmentation. Medical Image Anal. 82: 102617 (2022) - [c11]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Constrained deep networks: Lagrangian optimization via Log-barrier extensions. EUSIPCO 2022: 962-966 - [c10]Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne:
Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. MIDL 2022: 188-198 - 2021
- [j4]Hoel Kervadec
Boundary loss for highly unbalanced segmentation. Medical Image Anal. 67: 101851 (2021) - [j3]Mathilde Bateson
Constrained Domain Adaptation for Image Segmentation. IEEE Trans. Medical Imaging 40(7): 1875-1887 (2021) - [c9]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CVPR 2021: 13979-13988 - [c8]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021: 354-368 - [i11]Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, José Dolz, Ismail Ben Ayed:
Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! CoRR abs/2105.00859 (2021) - [i10]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Source-Free Domain Adaptation for Image Segmentation. CoRR abs/2108.03152 (2021) - 2020
- [j2]Jizong Peng, Hoel Kervadec, Jose Dolz
Discretely-constrained deep network for weakly supervised segmentation. Neural Networks 130: 297-308 (2020) - [c7]Mathilde Bateson
Source-Relaxed Domain Adaptation for Image Segmentation. MICCAI (1) 2020: 490-499 - [c6]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. MIDL 2020: 365-381 - [c5]Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang:
Laplacian pyramid-based complex neural network learning for fast MR imaging. MIDL 2020: 454-464 - [i9]Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed:
Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. CoRR abs/2004.06816 (2020) - [i8]Mathilde Bateson, Hoel Kervadec, Jose Dolz, Herve Lombaert, Ismail Ben Ayed:
Source-Relaxed Domain Adaptation for Image Segmentation. CoRR abs/2005.03697 (2020) - [i7]Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz:
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? CoRR abs/2012.06166 (2020)
2010 – 2019
- 2019
- [j1]Hoel Kervadec
Constrained-CNN losses for weakly supervised segmentation. Medical Image Anal. 54: 88-99 (2019) - [c4]Mathilde Bateson
Constrained Domain Adaptation for Segmentation. MICCAI (2) 2019: 326-334 - [c3]Hoel Kervadec, Jose Dolz, Éric Granger
Curriculum Semi-supervised Segmentation. MICCAI (2) 2019: 568-576 - [c2]Hoel Kervadec
Boundary loss for highly unbalanced segmentation. MIDL 2019: 285-296 - [i6]Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed:
Log-barrier constrained CNNs. CoRR abs/1904.04205 (2019) - [i5]Hoel Kervadec, Jose Dolz, Eric Granger, Ismail Ben Ayed:
Curriculum semi-supervised segmentation. CoRR abs/1904.05236 (2019) - [i4]Mathilde Bateson, Jose Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed:
Constrained domain adaptation for segmentation. CoRR abs/1908.02996 (2019) - [i3]Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
Discretely-constrained deep network for weakly supervised segmentation. CoRR abs/1908.05770 (2019) - 2018
- [i2]Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed:
Constrained-CNN losses forweakly supervised segmentation. CoRR abs/1805.04628 (2018) - [i1]Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed:
Boundary loss for highly unbalanced segmentation. CoRR abs/1812.07032 (2018) - 2014
- [c1]Simon Bouget
Polystyrene: the Decentralized Data Shape That Never Dies. ICDCS 2014: 288-297
Coauthor Index
aka: José Dolz
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