Hetero-Modal Variational Encoder-Decoder for Joint Modality Completion and Segmentation. - Reuben Dorent; Samuel Joutard; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Permutohedral Attention Module for Efficient Non-local Neural Networks. - Samuel Joutard; Reuben Dorent; Amanda Isaac; Sébastien Ourselin; Tom Vercauteren; Marc Modat (MICCAI (6), 2019)

Scribble-Based Domain Adaptation via Co-segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Sotirios Bisdas; Neil Kitchen; Robert Bradford; Shakeel R. Saeed; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (1), 2020)

Inter Extreme Points Geodesics for End-to-End Weakly Supervised Image Segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Aaron Kujawa; Marc Modat; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2021)

Inter Extreme Points Geodesics for Weakly Supervised Segmentation. - Reuben Dorent; Samuel Joutard; Jonathan Shapey; Aaron Kujawa; Marc Modat; Sébastien Ourselin; Tom Vercauteren (CoRR, 2021)

Learn2Reg: comprehensive multi-task medical image registration challenge, dataset and evaluation in the era of deep learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (CoRR, 2021)

Driving Points Prediction for Abdominal Probabilistic Registration. - Samuel Joutard; Reuben Dorent; Sébastien Ourselin; Tom Vercauteren; Marc Modat (MLMI@MICCAI, 2022)

A Pareto front based methodology to better assess medical image registration algorithms. - Samuel Joutard; Reuben Dorent; Tom Vercauteren; Marc Modat (Image Processing, 2022)

A Multi-organ Point Cloud Registration Algorithm for Abdominal CT Registration. - Samuel Joutard; Thomas S. Pheiffer; Chloé Audigier; Patrick Wohlfahrt; Reuben Dorent; Sebastien Piat; Tom Vercauteren; Marc Modat; Tommaso Mansi (WBIR, 2022)

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; Jorge Cardoso 002; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (CoRR, 2022)

Unified Brain MR-Ultrasound Synthesis Using Multi-modal Hierarchical Representations. - Reuben Dorent; Nazim Haouchine; Fryderyk Victor Kögl; Samuel Joutard; Parikshit Juvekar; Erickson Torio; Alexandra J. Golby; Sébastien Ourselin; Sarah F. Frisken; Tom Vercauteren; Tina Kapur; William M. Wells III (MICCAI (10), 2023)

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. - Reuben Dorent; Aaron Kujawa; Marina Ivory; Spyridon Bakas; Nicola Rieke; Samuel Joutard; Ben Glocker; M. Jorge Cardoso; Marc Modat; Kayhan Batmanghelich; Arseniy Belkov; Maria G. Baldeon Calisto; et al. (Medical Image Anal., 2023)

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning. - Alessa Hering; Lasse Hansen; Tony C. W. Mok; Albert C. S. Chung; Hanna Siebert; Stephanie Häger; Annkristin Lange; Sven Kuckertz; Stefan Heldmann; Wei Shao 008; Sulaiman Vesal; Mirabela Rusu; et al. (IEEE Trans. Medical Imaging, 2023)

HyperSpace: Hypernetworks for Spacing-Adaptive Image Segmentation. - Samuel Joutard; Maximilian Pietsch; Raphael Prevost (MICCAI (9), 2024)

HyperSORT: Self-organising Robust Training with Hyper-networks. - Samuel Joutard; Marijn F. Stollenga; Marcos Balle Sánchez; Mohammad Farid Azampour; Raphael Prevost (MICCAI (13), 2025)