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ORCIDThomas C. Booth
Person information
- affiliation: King's College London, School of Biomedical Engineering & Imaging Sciences, London, UK
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2020 – today
- 2024
[j5]Harry Robertshaw
, Lennart Karstensen, Benjamin Jackson, Alejandro Granados, Thomas C. Booth:
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning. Int. J. Comput. Assist. Radiol. Surg. 19(8): 1569-1578 (2024)- [i15]David A. Wood, Emily Guilhem, Sina Kafiabadi, Ayisha Al Busaidi, Kishan Dissanayake, Ahmed Hammam, Nina Mansoor, Matthew Townend, Siddharth Agarwal, Yiran Wei, Asif Mazumder, Gareth J. Barker, Peter Sasieni, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
A self-supervised text-vision framework for automated brain abnormality detection. CoRR abs/2405.02782 (2024) - [i14]Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, S. M. Hadi Sadati, Kawal S. Rhode, Sébastien Ourselin, Alejandro Granados, Thomas C. Booth:
Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review. CoRR abs/2405.03305 (2024) - [i13]Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth:
Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? CoRR abs/2405.05647 (2024) - [i12]Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth:
Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. CoRR abs/2405.05658 (2024) - [i11]Haris Shuaib, Gareth J. Barker, Peter Sasieni, Enrico De Vita, Alysha Chelliah, Roman Andrei, Keyoumars Ashkan, Erica Beaumont, Lucy Brazil, Chris Rowland-Hill, Yue Hui Lau, Aysha Luis, James Powell, Angela Swampillai, Sean Tenant, Stefanie C. Thust, Stephen J. Wastling, Tom Young, Thomas C. Booth:
Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium. CoRR abs/2405.05980 (2024) - [i10]Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, Alejandro Granados, Thomas C. Booth:
Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning. CoRR abs/2406.12499 (2024) - [i9]Lennart Karstensen, Harry Robertshaw, Johannes Hatzl, Benjamin Jackson, Jens Langejürgen, Katharina Breininger, Christian Uhl, S. M. Hadi Sadati, Thomas C. Booth, Christos Bergeles, Franziska Mathis-Ullrich:
Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions. CoRR abs/2410.01956 (2024) - [i8]Karan Daga, Siddharth Agarwal, Zaeem Moti, Matthew BK Lee, Munaib Din, David Wood, Marc Modat, Thomas C. Booth:
Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review. CoRR abs/2412.04749 (2024) - 2023
- [j4]Benjamin Jackson, William Crinnion, Mikel De Iturrate Reyzabal, Harry Robertshaw, Christos Bergeles, Kawal S. Rhode, Thomas C. Booth:
Comparative verification of control methodology for robotic interventional neuroradiology procedures. Int. J. Comput. Assist. Radiol. Surg. 18(11): 1977-1986 (2023) - 2022
- [j3]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Deep learning models for triaging hospital head MRI examinations. Medical Image Anal. 78: 102391 (2022) - [j2]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Accurate brain-age models for routine clinical MRI examinations. NeuroImage 249: 118871 (2022) - 2021
- [j1]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. Medical Image Anal. 67: 101862 (2021) - [c5]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. MIDL 2021: 813-841 - [i7]Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat:
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. CoRR abs/2104.08072 (2021) - [i6]David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated triaging of head MRI examinations using convolutional neural networks. CoRR abs/2106.08176 (2021) - 2020
- [c4]Thomas C. Booth, Bernice Akpinar, Andrei Roman, Haris Shuaib, Aysha Luis, Alysha Chelliah, Ayisha Al Busaidi, Ayesha Mirchandani, Burcu Alparslan, Nina Mansoor, Keyoumars Ashkan, Sébastien Ourselin, Marc Modat:
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021. MLCN/RNO-AI@MICCAI 2020: 212-228 - [c3]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 254-265 - [c2]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). MIDL 2020: 811-826 - [i5]David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). CoRR abs/2002.06588 (2020) - [i4]David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth:
Labelling imaging datasets on the basis of neuroradiology reports: a validation study. CoRR abs/2007.04226 (2020) - [i3]Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren:
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. CoRR abs/2009.04009 (2020)
2010 – 2019
- 2019
- [i2]David Wood, James H. Cole, Thomas C. Booth:
NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification. CoRR abs/1910.04721 (2019) - [i1]Thomas C. Booth, Matthew Williams, Aysha Luis, Manuel Jorge Cardoso, Ashkan Keyoumars, Haris Shuaib:
Machine learning and glioma imaging biomarkers. CoRR abs/1910.07440 (2019) - 2018
- [c1]Thomas C. Booth:
An Update on Machine Learning in Neuro-Oncology Diagnostics. BrainLes@MICCAI (1) 2018: 37-44
Coauthor Index
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