Thomas C. Booth

According to our database, Thomas C. Booth authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Autonomous navigation of catheters and guidewires in mechanical thrombectomy using inverse reinforcement learning.

Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, Alejandro Granados, Thomas C. Booth

Int. J. Comput. Assist. Radiol. Surg., August, 2024

Learning-Based Autonomous Navigation, Benchmark Environments and Simulation Framework for Endovascular Interventions.

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

CoRR, 2024

Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium.

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

CoRR, 2024

Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis.

Siddharth Agarwal, David A. Wood, Mariusz Grzeda, Chandhini Suresh, Munaib Din, James H. Cole, Marc Modat, Thomas C. Booth

CoRR, 2024

Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?

Siddharth Agarwal, David Wood, Robin Carpenter, Yiran Wei, Marc Modat, Thomas C. Booth

CoRR, 2024

Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review.

Harry Robertshaw, Lennart Karstensen, Benjamin Jackson, S. M. Hadi Sadati, Kawal S. Rhode, Sébastien Ourselin, Alejandro Granados, Thomas C. Booth

CoRR, 2024

A self-supervised text-vision framework for automated brain abnormality detection.

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

CoRR, 2024

2023

Comparative verification of control methodology for robotic interventional neuroradiology procedures.

Benjamin Jackson, William Crinnion, Mikel De Iturrate Reyzabal, Harry Robertshaw, Christos Bergeles, Kawal S. Rhode, Thomas C. Booth

Int. J. Comput. Assist. Radiol. Surg., November, 2023

2022

Accurate brain-age models for routine clinical MRI examinations.

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

NeuroImage, 2022

Deep learning models for triaging hospital head MRI examinations.

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

Medical Image Anal., 2022

2021

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets.

Reuben Dorent, Thomas C. Booth, Wenqi Li, Carole H. Sudre, Sina Kafiabadi, Manuel Jorge Cardoso, Sébastien Ourselin, Tom Vercauteren

Medical Image Anal., 2021

Automated triaging of head MRI examinations using convolutional neural networks.

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

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM).

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

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study.

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

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021.

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

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

2019

Machine learning and glioma imaging biomarkers.

Thomas C. Booth, Matthew Williams, Aysha Luis, Manuel Jorge Cardoso, Ashkan Keyoumars, Haris Shuaib

CoRR, 2019

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification.

David Wood, James H. Cole, Thomas C. Booth

CoRR, 2019

2018

An Update on Machine Learning in Neuro-Oncology Diagnostics.

Thomas C. Booth

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018