Optimization of Perfusion CT Protocol for Imaging of Extracranial Head and Neck Tumors. - Sotirios Bisdas; Chuan Zhi Foo; Choon Hua Thng; Thomas J. Vogl; Tong San Koh (J. Digit. Imaging, 2009)

Spectroscopy imaging in intraoperative MR suite: tissue characterization and optimization of tumor resection. - Constantin Roder; Marco Skardelly; Kristofer Fingerle Ramina; Rudi Beschorner; Jürgen Honneger; Thomas Nägele; Marcos Soares Tatagiba; Ulrike Ernemann; Sotirios Bisdas (Int. J. Comput. Assist. Radiol. Surg., 2014)

Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. - Zach Eaton-Rosen; Felix J. S. Bragman; Sotirios Bisdas; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (1), 2018)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Shaoting Zhang 001; Sébastien Ourselin; Tom Vercauteren (MICCAI (2), 2019)

Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. - Guotai Wang; Jonathan Shapey; Wenqi Li 001; Reuben Dorent; Alex Demitriadis; Sotirios Bisdas; Ian Paddick; Robert Bradford; Sébastien Ourselin; Tom Vercauteren (CoRR, 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)

Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. - Hari McGrath; Peichao Li; Reuben Dorent; Robert Bradford; Shakeel R. Saeed; Sotirios Bisdas; Sébastien Ourselin; Jonathan Shapey; Tom Vercauteren (Int. J. Comput. Assist. Radiol. Surg., 2020)

Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. - Carole H. Sudre; Jasmina Panovska; Eser Sanverdi; Sebastian Brandner; Vasileios K. Katsaros; George Stranjalis; Francesca B. Pizzini; Claudio Ghimenton; Katarina Surlan-Popovic; Jernej Avsenik; Maria Vittoria Spampinato; Mario Nigro; et al. (BMC Medical Informatics Decis. Mak., 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)

Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. - Jialin Yuan; Loizos Siakallis; Hongwei Bran Li; Sebastian Brandner; Jianguo Zhang 001; Chenming Li; Laura Mancini; Sotirios Bisdas (BMC Medical Imaging, 2024)

Structured reporting of gliomas based on VASARI criteria to improve report content and consistency. - Olivia Goodkin; Jiaming Wu; Hugh Pemberton; Ferran Prados; Sjoerd B. Vos; Stefanie Thust; John S. Thornton; Tarek A. Yousry; Sotirios Bisdas; Frederik Barkhof (BMC Medical Imaging, 2025)