Scalable Multimodal Convolutional Networks for Brain Tumour Segmentation. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (MICCAI (3), 2017)

Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation Using Holistic Convolutional Networks. - Lucas Fidon; Wenqi Li 001; Luis C. García-Peraza-Herrera; Jinendra Ekanayake; Neil Kitchen; Sébastien Ourselin; Tom Vercauteren (BrainLes@MICCAI, 2017)

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)

TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. - Jianghao Wu 001; Dong Guo; Lu Wang; Shuojue Yang; Yuanjie Zheng; Jonathan Shapey; Tom Vercauteren; Sotirios Bisdas; Robert Bradford; Shakeel R. Saeed; Neil Kitchen; Sébastien Ourselin; et al. (Neurocomputing, 2023)

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)