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Thomas C Booth

Showing results (41-50 of 82) with videos related to

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Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Brain-age in ultra-low-field MRI: how well does it work?Francesca Biondo, Carly Bennallick, Sophie A Martin, et al.
Radiology|February 6, 2024
Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?Ivar J H G Wamelink, Aynur Azizova, Thomas C Booth, et al.
Nature Reviews. Clinical Oncology|June 24, 2009
Quantitative imaging biomarkers in neuro-oncologyAdam D Waldman, Alan Jackson, Stephen J Price, et al.
Plos One|February 19, 2026
Estimating post-operative complication rates in patients with primary brain tumours from routine administrative data: A national cohort studyRadvile Mauricaite, Alex Bottle, Andrew Brodbelt, et al.
Medical Image Analysis|February 20, 2022
Deep learning models for triaging hospital head MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Neuroimage|January 7, 2022
Accurate brain-age models for routine clinical MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Human Brain Mapping|March 4, 2024
Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical settingDavid A Wood, Matthew Townend, Emily Guilhem, et al.
Frontiers in Radiology|December 13, 2023
Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detectionMatthew Benger, David A Wood, Sina Kafiabadi, et al.
Magnetic Resonance in Medicine|February 27, 2013
Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatmentTimothy J Larkin, Holly C Canuto, Mikko I Kettunen, et al.
The British Journal of Radiology|April 26, 2025
Safety and Efficacy of Aneurysms Treated with Endovascular Devices (SEATED)Ahmed R Bassiouny, Anand Sastry, Alex Mortimer, et al.
Pageof 9

Showing results (41-50 of 82) with videos related to

Sort By:
Pageof 9
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Brain-age in ultra-low-field MRI: how well does it work?Francesca Biondo, Carly Bennallick, Sophie A Martin, et al.
Radiology|February 6, 2024
Brain Tumor Imaging without Gadolinium-based Contrast Agents: Feasible or Fantasy?Ivar J H G Wamelink, Aynur Azizova, Thomas C Booth, et al.
Nature Reviews. Clinical Oncology|June 24, 2009
Quantitative imaging biomarkers in neuro-oncologyAdam D Waldman, Alan Jackson, Stephen J Price, et al.
Plos One|February 19, 2026
Estimating post-operative complication rates in patients with primary brain tumours from routine administrative data: A national cohort studyRadvile Mauricaite, Alex Bottle, Andrew Brodbelt, et al.
Medical Image Analysis|February 20, 2022
Deep learning models for triaging hospital head MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Neuroimage|January 7, 2022
Accurate brain-age models for routine clinical MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Human Brain Mapping|March 4, 2024
Optimising brain age estimation through transfer learning: A suite of pre-trained foundation models for improved performance and generalisability in a clinical settingDavid A Wood, Matthew Townend, Emily Guilhem, et al.
Frontiers in Radiology|December 13, 2023
Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detectionMatthew Benger, David A Wood, Sina Kafiabadi, et al.
Magnetic Resonance in Medicine|February 27, 2013
Analysis of image heterogeneity using 2D Minkowski functionals detects tumor responses to treatmentTimothy J Larkin, Holly C Canuto, Mikko I Kettunen, et al.
The British Journal of Radiology|April 26, 2025
Safety and Efficacy of Aneurysms Treated with Endovascular Devices (SEATED)Ahmed R Bassiouny, Anand Sastry, Alex Mortimer, et al.
Pageof 9