Partial volume correction for in vivo 23Na-MRI data of the human brain. - Sebastian C. Niesporek; Stefan H. Hoffmann; Moritz C. Berger; Nadia Benkhedah; Aaron Kujawa; Peter Bachert; Armin M. Nagel (NeuroImage, 2015)

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)

Boundary Distance Loss for Intra-/Extra-meatal Segmentation of Vestibular Schwannoma. - Navodini Wijethilake; Aaron Kujawa; Reuben Dorent; Muhammad Asad 001; Anna Oviedova; Tom Vercauteren; Jonathan Shapey (MLCN@MICCAI, 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)

MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. - Jianning Li 002; Antonio Pepe 003; Christina Gsaxner; Gijs Luijten; Yuan Jin; Narmada Ambigapathy; Enrico Nasca; Naida Solak; Gian Marco Melito; Afaque R. Memon; Xiaojun Chen 003; Jan Stefan Kirschke; et al. (CoRR, 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)

Label Merge-and-Split: A Graph-Colouring Approach for Memory-Efficient Brain Parcellation. - Aaron Kujawa; Reuben Dorent; Sébastien Ourselin; Tom Vercauteren (MICCAI (9), 2024)

Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. - Aaron Kujawa; Reuben Dorent; Steve Connor; Suki Thomson; Marina Ivory; Ali Vahedi; Emily Guilhem; Navodini Wijethilake; Robert Bradford; Neil Kitchen; Sotirios Bisdas; Sébastien Ourselin; et al. (Frontiers Comput. Neurosci., 2024)

A generalisable head MRI defacing pipeline: Evaluation on 2,566 meningioma scans. - Lorena Garcia-Foncillas Macias; Aaron Kujawa; Aya Elshalakany; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

crossMoDA Challenge: Evolution of Cross-Modality Domain Adaptation Techniques for Vestibular Schwannoma and Cochlea Segmentation from 2021 to 2023. - Navodini Wijethilake; Reuben Dorent; Marina Ivory; Aaron Kujawa; Stefan Cornelissen; Patrick Langenhuizen; Mohamed Okasha; Anna Oviedova; Hexin Dong; Bogyeong Kang; Guillaume Sallé; Luyi Han; et al. (CoRR, 2025)

Tree-based Semantic Losses: Application to Sparsely-supervised Large Multi-class Hyperspectral Segmentation. - Junwen Wang; Oscar MacCormac; William Rochford; Aaron Kujawa; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)

Label tree semantic losses for rich multi-class medical image segmentation. - Junwen Wang; Oscar MacCormac; William Rochford; Aaron Kujawa; Jonathan Shapey; Tom Vercauteren (CoRR, 2025)