An Update on Machine Learning in Neuro-Oncology Diagnostics. - Thomas C. Booth (BrainLes@MICCAI (1), 2018)

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification. - David Wood; James H. Cole; Thomas C. Booth (CoRR, 2019)

Machine learning and glioma imaging biomarkers. - Thomas C. Booth; Matthew Williams; Aysha Luis; Manuel Jorge Cardoso; Ashkan Keyoumars; Haris Shuaib (CoRR, 2019)

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; et al. (MLCN/RNO-AI@MICCAI, 2020)

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study. - David A. Wood 004; Sina Kafiabadi; Aisha Al Busaidi; Emily Guilhem; Jeremy Lynch; Matthew Townend; Antanas Montvila; Juveria Siddiqui; Naveen Gadapa; Matthew Benger; Gareth J. Barker; Sébastien Ourselin; et al. (iMIMIC/MIL3ID/LABELS@MICCAI, 2020)

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). - David A. Wood 004; Jeremy Lynch; Sina Kafiabadi; Emily Guilhem; Aisha Al Busaidi; Antanas Montvila; Thomas Varsavsky; Juveria Siddiqui; Naveen Gadapa; Matthew Townend; Martin Kiik; Keena Patel; et al. (MIDL, 2020)

Automated triaging of head MRI examinations using convolutional neural networks. - David A. Wood 004; 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 (MIDL, 2021)

Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets. - Reuben Dorent; Thomas C. Booth; Wenqi Li 001; Carole H. Sudre; Sina Kafiabadi; Manuel Jorge Cardoso; Sébastien Ourselin; Tom Vercauteren (Medical Image Anal., 2021)

Deep learning models for triaging hospital head MRI examinations. - David A. Wood 004; 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; et al. (Medical Image Anal., 2022)

Accurate brain-age models for routine clinical MRI examinations. - David A. Wood 004; 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; et al. (NeuroImage, 2022)

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., 2023)

A self-supervised text-vision framework for automated brain abnormality detection. - David A. Wood 004; Emily Guilhem; Sina Kafiabadi; Ayisha Al Busaidi; Kishan Dissanayake; Ahmed Hammam; Nina Mansoor; Matthew Townend; Siddharth Agarwal; Yiran Wei; Asif Mazumder; Gareth J. Barker; et al. (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)

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 for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis. - Siddharth Agarwal; David A. Wood 004; Mariusz Grzeda; Chandhini Suresh; Munaib Din; James H. Cole; Marc Modat; Thomas C. Booth (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; et al. (CoRR, 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)

Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review. - Karan Daga; Siddharth Agarwal; Zaeem Moti; Matthew BK Lee; Munaib Din; David Wood; Marc Modat; Thomas C. Booth (CoRR, 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., 2024)

Post-hoc eXplainable AI methods for analyzing medical images of gliomas ( - A review for clinical applications). - Hamail Ayaz; Esra Sümer; Esin Ozturk-Isik; Thomas C. Booth; David Tormey; Ian McLoughlin; Saritha Unnikrishnan (Comput. Biol. Medicine, 2025)

Benchmarking reinforcement learning algorithms for autonomous mechanical thrombectomy. - Farhana Moosa; Harry Robertshaw; Lennart Karstensen; Thomas C. Booth; Alejandro Granados (Int. J. Comput. Assist. Radiol. Surg., 2025)

Reinforcement learning for safe autonomous two-device navigation of cerebral vessels in mechanical thrombectomy. - Harry Robertshaw; Benjamin Jackson; Jiaheng Wang; S. M. Hadi Sadati; Lennart Karstensen; Alejandro Granados; Thomas C. Booth (Int. J. Comput. Assist. Radiol. Surg., 2025)