Search research articles
Contact Us
Filters
Showing results (1-10 of 10) with videos related to
Page
of 1
Sort By:
Practical Neurology
|
July 31, 2023
Trigeminal neuropathy from root entry zone infarction
Mena Farag, Sina Kafiabadi, Amit Roy, et al.
Medical Image Analysis
|
October 31, 2020
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
Reuben Dorent, Thomas Booth, Wenqi Li, et al.
European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society
|
August 13, 2021
Giant pattern VEPs in children
Dorothy A Thompson, Oliver R Marmoy, Katrina L Prise, et al.
Neuroimage
|
January 7, 2022
Accurate brain-age models for routine clinical MRI examinations
David 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 setting
David A Wood, Matthew Townend, Emily Guilhem, et al.
Medical Image Analysis
|
February 20, 2022
Deep learning models for triaging hospital head MRI examinations
David A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Frontiers in Radiology
|
December 13, 2023
Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection
Matthew Benger, David A Wood, Sina Kafiabadi, et al.
European Radiology
|
March 18, 2025
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports
Siddharth Agarwal, David Wood, Benjamin A K Murray, et al.
European Radiology
|
July 21, 2021
Deep learning to automate the labelling of head MRI datasets for computer vision applications
David A Wood, Sina Kafiabadi, Aisha Al Busaidi, et al.
Radiology. Artificial Intelligence
|
November 26, 2025
Self-supervised Text-vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)
David A Wood, Emily Guilhem, Sina Kafiabadi, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 10) with videos related to
Sort By:
Page
of 1
Practical Neurology
|
July 31, 2023
Trigeminal neuropathy from root entry zone infarction
Mena Farag, Sina Kafiabadi, Amit Roy, et al.
Medical Image Analysis
|
October 31, 2020
Learning joint segmentation of tissues and brain lesions from task-specific hetero-modal domain-shifted datasets
Reuben Dorent, Thomas Booth, Wenqi Li, et al.
European Journal of Paediatric Neurology : EJPN : Official Journal of the European Paediatric Neurology Society
|
August 13, 2021
Giant pattern VEPs in children
Dorothy A Thompson, Oliver R Marmoy, Katrina L Prise, et al.
Neuroimage
|
January 7, 2022
Accurate brain-age models for routine clinical MRI examinations
David 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 setting
David A Wood, Matthew Townend, Emily Guilhem, et al.
Medical Image Analysis
|
February 20, 2022
Deep learning models for triaging hospital head MRI examinations
David A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Frontiers in Radiology
|
December 13, 2023
Factors affecting the labelling accuracy of brain MRI studies relevant for deep learning abnormality detection
Matthew Benger, David A Wood, Sina Kafiabadi, et al.
European Radiology
|
March 18, 2025
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reports
Siddharth Agarwal, David Wood, Benjamin A K Murray, et al.
European Radiology
|
July 21, 2021
Deep learning to automate the labelling of head MRI datasets for computer vision applications
David A Wood, Sina Kafiabadi, Aisha Al Busaidi, et al.
Radiology. Artificial Intelligence
|
November 26, 2025
Self-supervised Text-vision Alignment for Automated Brain MRI Abnormality Detection: A Multicenter Study (ALIGN Study)
David A Wood, Emily Guilhem, Sina Kafiabadi, et al.
Page
of 1