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Emily Guilhem

Showing results (1-10 of 8) with videos related to

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Frontiers in Computational Neuroscience|May 24, 2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRIAaron Kujawa, Reuben Dorent, Steve Connor, 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.
European Radiology|March 18, 2025
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reportsSiddharth Agarwal, David Wood, Benjamin A K Murray, 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.
British Journal of Cancer|November 6, 2023
Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosisBenjamin Hunter, Christos Argyros, Marianna Inglese, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Frontiers in Computational Neuroscience|May 24, 2024
Deep learning for automatic segmentation of vestibular schwannoma: a retrospective study from multi-center routine MRIAaron Kujawa, Reuben Dorent, Steve Connor, 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.
European Radiology|March 18, 2025
Impact of hospital-specific domain adaptation on BERT-based models to classify neuroradiology reportsSiddharth Agarwal, David Wood, Benjamin A K Murray, 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.
British Journal of Cancer|November 6, 2023
Radiomics-based decision support tool assists radiologists in small lung nodule classification and improves lung cancer early diagnosisBenjamin Hunter, Christos Argyros, Marianna Inglese, et al.
Pageof 1