Polystyrene: the Decentralized Data Shape That Never Dies. - Simon Bouget; Hoel Kervadec; Anne-Marie Kermarrec; François Taïani (ICDCS, 2014)

Constrained-CNN losses forweakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (CoRR, 2018)

Constrained Domain Adaptation for Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (2), 2019)

Curriculum Semi-supervised Segmentation. - Hoel Kervadec; Jose Dolz; Éric Granger; Ismail Ben Ayed (MICCAI (2), 2019)

Log-barrier constrained CNNs. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (CoRR, 2019)

Constrained-CNN losses for weakly supervised segmentation. - Hoel Kervadec; Jose Dolz; Meng Tang 001; Eric Granger; Yuri Boykov; Ismail Ben Ayed (Medical Image Anal., 2019)

Source-Relaxed Domain Adaptation for Image Segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (MICCAI (1), 2020)

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision. - Hoel Kervadec; Jose Dolz; Shanshan Wang 002; Eric Granger; Ismail Ben Ayed (MIDL, 2020)

Laplacian pyramid-based complex neural network learning for fast MR imaging. - Haoyun Liang; Yu Gong; Hoel Kervadec; Cheng Li 008; Jing Yuan 001; Xin Liu 053; Hairong Zheng; Shanshan Wang 002 (MIDL, 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)

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 (CVPR, 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 (MIDL, 2021)

Boundary loss for highly unbalanced segmentation. - Hoel Kervadec; Jihene Bouchtiba; Christian Desrosiers; Eric Granger; Jose Dolz; Ismail Ben Ayed (Medical Image Anal., 2021)

Constrained Domain Adaptation for Image Segmentation. - Mathilde Bateson; José Dolz; Hoel Kervadec; Hervé Lombaert; Ismail Ben Ayed (IEEE Trans. Medical Imaging, 2021)

Constrained deep networks: Lagrangian optimization via Log-barrier extensions. - Hoel Kervadec; Jose Dolz; Jing Yuan 001; Christian Desrosiers; Eric Granger; Ismail Ben Ayed (EUSIPCO, 2022)

Differentiable Boundary Point Extraction for Weakly Supervised Star-shaped Object Segmentation. - Robin Camarasa; Hoel Kervadec; Daniel Bos; Marleen de Bruijne (MIDL, 2022)

Source-free domain adaptation for image segmentation. - Mathilde Bateson; Hoel Kervadec; Jose Dolz; Hervé Lombaert; Ismail Ben Ayed (Medical Image Anal., 2022)

On the dice loss gradient and the ways to mimic it. - Hoel Kervadec; Marleen de Bruijne (CoRR, 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., 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 (ICPR (13), 2024)

Zero-shot capability of SAM-family models for bone segmentation in CT scans. - Caroline Magg; Hoel Kervadec; Clara I. Sánchez (CoRR, 2024)