Hoel Kervadec

According to our database, Hoel Kervadec authored at least 20 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Nested star-shaped objects segmentation using diameter annotations.

Robin Camarasa, Hoel Kervadec, M. Eline Kooi, Jeroen Hendrikse, Paul H. J. Nederkoorn, Daniel Bos, Marleen de Bruijne

Medical Image Anal., December, 2023

Leveraging point annotations in segmentation learning with boundary loss.

Eva Breznik, Hoel Kervadec, Filip Malmberg, Joel Kullberg, Håkan Ahlström, Marleen de Bruijne, Robin Strand

CoRR, 2023

On the dice loss gradient and the ways to mimic it.

Hoel Kervadec, Marleen de Bruijne

CoRR, 2023

2022

Source-free domain adaptation for image segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Medical Image Anal., 2022

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation.

Robin Camarasa, Hoel Kervadec, Daniel Bos, Marleen de Bruijne

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

Constrained deep networks: Lagrangian optimization via Log-barrier extensions.

Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Constrained Domain Adaptation for Image Segmentation.

Mathilde Bateson, José Dolz, Hoel Kervadec, Hervé Lombaert, Ismail Ben Ayed

IEEE Trans. Medical Imaging, 2021

Boundary loss for highly unbalanced segmentation.

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers, Eric Granger, Jose Dolz, Ismail Ben Ayed

Medical Image Anal., 2021

Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good!

Hoel Kervadec, Houda Bahig, Laurent Létourneau-Guillon, Jose Dolz, Ismail Ben Ayed

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Discretely-constrained deep network for weakly supervised segmentation.

Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers

Neural Networks, 2020

Laplacian pyramid-based complex neural network learning for fast MR imaging.

Haoyun Liang, Yu Gong, Hoel Kervadec, Cheng Li, Jing Yuan, Xin Liu, Hairong Zheng, Shanshan Wang

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.

Hoel Kervadec, Jose Dolz, Shanshan Wang, Eric Granger, Ismail Ben Ayed

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Source-Relaxed Domain Adaptation for Image Segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019

Constrained-CNN losses for weakly supervised segmentation.

Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed

Medical Image Anal., 2019

Log-barrier constrained CNNs.

Hoel Kervadec, Jose Dolz, Jing Yuan, Christian Desrosiers, Eric Granger, Ismail Ben Ayed

CoRR, 2019

Curriculum Semi-supervised Segmentation.

Hoel Kervadec, Jose Dolz, Éric Granger, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Constrained Domain Adaptation for Segmentation.

Mathilde Bateson, Hoel Kervadec, Jose Dolz, Hervé Lombaert, Ismail Ben Ayed

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Constrained-CNN losses forweakly supervised segmentation.

Hoel Kervadec, Jose Dolz, Meng Tang, Eric Granger, Yuri Boykov, Ismail Ben Ayed

CoRR, 2018

2014

Polystyrene: the Decentralized Data Shape That Never Dies.

Simon Bouget, Hoel Kervadec, Anne-Marie Kermarrec, François Taïani

Proceedings of the IEEE 34th International Conference on Distributed Computing Systems, 2014