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Sotirios Bisdas
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2020 – today
- 2024
- [j7]Jialin Yuan, Loizos Siakallis
, Hongwei Bran Li, Sebastian Brandner, Jianguo Zhang, Chenming Li, Laura Mancini, Sotirios Bisdas:
Structural- and DTI- MRI enable automated prediction of IDH Mutation Status in CNS WHO Grade 2-4 glioma patients: a deep Radiomics Approach. BMC Medical Imaging 24(1): 104 (2024) - [j6]Aaron Kujawa, Reuben Dorent, Steve Connor, Suki Thomson, Marina Ivory, Ali Vahedi, Emily Guilhem, Navodini Wijethilake
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRI. Frontiers Comput. Neurosci. 18 (2024) - 2023
- [j5]Jianghao Wu
TISS-net: Brain tumor image synthesis and segmentation using cascaded dual-task networks and error-prediction consistency. Neurocomputing 544: 126295 (2023) - 2020
- [j4]Hari McGrath
Manual segmentation versus semi-automated segmentation for quantifying vestibular schwannoma volume on MRI. Int. J. Comput. Assist. Radiol. Surg. 15(9): 1445-1455 (2020) - [j3]Carole H. Sudre
Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status. BMC Medical Informatics Decis. Mak. 20(1): 149 (2020) - [c3]Reuben Dorent
Scribble-Based Domain Adaptation via Co-segmentation. MICCAI (1) 2020: 479-489 - [i3]Reuben Dorent, Samuel Joutard, Jonathan Shapey, Sotirios Bisdas, Neil Kitchen, Robert Bradford, Shakeel R. Saeed, Marc Modat, Sébastien Ourselin, Tom Vercauteren:
Scribble-based Domain Adaptation via Co-segmentation. CoRR abs/2007.03632 (2020)
2010 – 2019
- 2019
- [c2]Guotai Wang
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. MICCAI (2) 2019: 264-272 - [i2]Guotai Wang, Jonathan Shapey, Wenqi Li, Reuben Dorent, Alex Demitriadis, Sotirios Bisdas, Ian Paddick, Robert Bradford, Sébastien Ourselin, Tom Vercauteren:
Automatic Segmentation of Vestibular Schwannoma from T2-Weighted MRI by Deep Spatial Attention with Hardness-Weighted Loss. CoRR abs/1906.03906 (2019) - 2018
- [c1]Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas
Towards Safe Deep Learning: Accurately Quantifying Biomarker Uncertainty in Neural Network Predictions. MICCAI (1) 2018: 691-699 - [i1]Zach Eaton-Rosen, Felix J. S. Bragman, Sotirios Bisdas, Sébastien Ourselin, M. Jorge Cardoso
Towards safe deep learning: accurately quantifying biomarker uncertainty in neural network predictions. CoRR abs/1806.08640 (2018) - 2014
- [j2]Constantin Roder, Marco Skardelly, Kristofer Fingerle Ramina, Rudi Beschorner
Spectroscopy imaging in intraoperative MR suite: tissue characterization and optimization of tumor resection. Int. J. Comput. Assist. Radiol. Surg. 9(4): 551-559 (2014)
2000 – 2009
- 2009
- [j1]Sotirios Bisdas
Optimization of Perfusion CT Protocol for Imaging of Extracranial Head and Neck Tumors. J. Digit. Imaging 22(5): 437-448 (2009)
Coauthor Index
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