Dr Thomas Booth Academics Supervisors Reader in Neuroimaging Research subject areas Cancer Neuroscience Contact details thomas.booth@kcl.ac.uk @ThomasCBooth
The ASCEND Technique—A Modified Direct Aspiration First Pass Technique for a Faster and Cost-effective Mechanical Thrombectomy An eXplainable deep learning model for multi-modal MRI grading of IDH-mutant astrocytomas Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 2: recommendations for standardisation, validation, and good clinical practice Artificial Intelligence for Response Assessment in Neuro Oncology (AI-RANO), part 1: review of current advancements Machine learning algorithms to predict the risk of rupture of intracranial aneurysms: a systematic review SurvNet: A low-complexity convolutional neural network for survival time classification of patients with glioblastoma Imaging timing after surgery for glioblastoma: an evaluation of practice in Great Britain and Ireland (INTERVAL-GB)- a multi-centre, cohort study Current methods for hyperpolarized [1-13 C]pyruvate MRIhuman studies Artificial intelligence in the autonomous navigation of endovascular interventions: a systematic review Early Outcomes of the Pipeline Vantage Flow Diverter: A Multicentre Study Correspondence on ‘Non-ischemic cerebral enhancing (NICE) lesions after flow diversion for intracranial aneurysms: a multicenter study’ by Richter et al Sex-specific Differences in IDH1-Wildtype Glioblastoma patients in the ReSPOND Consortium Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT? Endovascular treatment to improve outcomes for medium vessel occlusions: The ESCAPE-MeVO trial COVID-19 Stroke Apical Lung Examination Study 2: a national prospective CTA biomarker study of the lung apices, in patients presenting with suspected acute stroke (COVID SALES 2) Glioblastoma and radiotherapy: A multicenter AI study for Survival Predictions from MRI (GRASP study) Autonomous Navigation of Catheters and Guidewires in Mechanical Thrombectomy using Inverse Reinforcement Learning Radiogenomic biomarkers for immunotherapy in glioblastoma: A systematic review of magnetic resonance imaging studies Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy? Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical setting Editorial: Rising stars in neuroradiology: 2022 Glioblastoma and Radiotherapy: a multi-center AI study for Survival Predictions from MRI (GRASP study) Neuro-Oncology Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection Outcome study of the Pipeline Vantage Embolization Device (second version) in unruptured (and ruptured) aneurysms (PEDVU(R) study) Isosorbide Mononitrate and Cilostazol Treatment in Patients With Symptomatic Cerebral Small Vessel Disease: The Lacunar Intervention Trial-2 (LACI-2) Randomized Clinical Trial Robotically Facilitated Parafasicular Microsurgery to a Brain Arteriovenous Malformation in a Paediatric Patient Artificial Intelligence in the Autonomous Navigation of Endovascular Interventions: A Systematic Review Association of partial T2-FLAIR mismatch sign and isocitrate dehydrogenase mutation in WHO grade 4 gliomas: results from the ReSPOND consortium Automated triaging of head MRI examinations using convolutional neural networks Comparative verification of control methodology for robotic interventional neuroradiology procedures Systematic Review of Artificial Intelligence for Abnormality Detection in High-volume Neuroimaging and Subgroup Meta-analysis for Intracranial Hemorrhage Detection Application of deep learning models for detection of subdural hematoma: a systematic review and meta-analysis The experience of interval scans for adults living with primary malignant brain tumors Overcoming challenges of translating deep-learning models for glioblastoma: the ZGBM consortium Re: “Validation study of machine-learning chest radiograph software in primary and secondary medicine” Advanced MR Techniques for Preoperative Glioma Characterization: Part 2 Advanced MR Techniques for Preoperative Glioma Characterization: Part 1 Editorial for “Apparent Diffusion Coefficient as Imaging Biomarker for IDH Mutation, 1p19q Codeletion, and MGMT Promoter Methylation Status in Patients with Glioma” Federated learning enables big data for rare cancer boundary detection Machine-learning algorithm in acute stroke: real-world experience Automated triaging of head magnetic resonance imaging examinations using convolutional neural networks On natural history and management of colloid cysts: Time to rethink? Detection of cerebral aneurysms using artificial intelligence: a systematic review and meta- analysis The changing landscape of cerebral revascularization surgery: A United Kingdom experience Imaging timing after glioblastoma surgery (INTERVAL-GB): protocol for a UK and Ireland, multicentre retrospective cohort study Imaging in patients with Glioblastoma: A National Cohort Study Overcoming challenges of translating deep learning models in glioblastoma: the ZGBM consortium Perfusion Imaging for Endovascular Thrombectomy in Acute Ischemic Stroke Is Associated With Improved Functional Outcomes in the Early and Late Time Windows Association between time to treatment and clinical outcomes in endovascular thrombectomy beyond 6 hours without advanced imaging selection Deep learning models for triaging hospital head MRI examinations View all publications
25 November 2024 Researchers conduct systematic review on whether AI could help predict brain aneurysms Researchers from the School, in collaboration with academics from Imperial College London, are…