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Jeremy Lynch

Showing results (31-40 of 45) with videos related to

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Medical Image Analysis|February 20, 2022
Deep learning models for triaging hospital head MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Journal of Neurointerventional Surgery|October 22, 2020
Absence of pontine perforators in vertebrobasilar dolichoectasia on ultra-high resolution cone-beam computed tomographyTomas Dobrocky, Eike I Piechowiak, Johannes Goldberg, et al.
European Stroke Journal|May 26, 2023
Effect of proximal blood flow arrest during endovascular thrombectomy (ProFATE): Study protocol for a multicentre randomised controlled trialPermesh Singh Dhillon, Waleed Butt, Anna Podlasek, et al.
Neuroimage|January 7, 2022
Accurate brain-age models for routine clinical MRI examinationsDavid 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 detectionMatthew Benger, David A Wood, Sina Kafiabadi, 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.
Journal of Neurointerventional Surgery|February 17, 2022
First clinical multicenter experience with the new Pipeline Vantage flow diverterDominik F Vollherbst, H Saruhan Cekirge, Isil Saatci, 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.
European Radiology|July 21, 2021
Deep learning to automate the labelling of head MRI datasets for computer vision applicationsDavid A Wood, Sina Kafiabadi, Aisha Al Busaidi, et al.
Stroke|December 19, 2024
Effect of Proximal Blood Flow Arrest During Endovascular Thrombectomy (ProFATE): A Multicenter, Blinded-End Point, Randomized Clinical TrialPermesh Singh Dhillon, Waleed Butt, Anna Podlasek, et al.
Pageof 5

Showing results (31-40 of 45) with videos related to

Sort By:
Pageof 5
Medical Image Analysis|February 20, 2022
Deep learning models for triaging hospital head MRI examinationsDavid A Wood, Sina Kafiabadi, Ayisha Al Busaidi, et al.
Journal of Neurointerventional Surgery|October 22, 2020
Absence of pontine perforators in vertebrobasilar dolichoectasia on ultra-high resolution cone-beam computed tomographyTomas Dobrocky, Eike I Piechowiak, Johannes Goldberg, et al.
European Stroke Journal|May 26, 2023
Effect of proximal blood flow arrest during endovascular thrombectomy (ProFATE): Study protocol for a multicentre randomised controlled trialPermesh Singh Dhillon, Waleed Butt, Anna Podlasek, et al.
Neuroimage|January 7, 2022
Accurate brain-age models for routine clinical MRI examinationsDavid 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 detectionMatthew Benger, David A Wood, Sina Kafiabadi, 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.
Journal of Neurointerventional Surgery|February 17, 2022
First clinical multicenter experience with the new Pipeline Vantage flow diverterDominik F Vollherbst, H Saruhan Cekirge, Isil Saatci, 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.
European Radiology|July 21, 2021
Deep learning to automate the labelling of head MRI datasets for computer vision applicationsDavid A Wood, Sina Kafiabadi, Aisha Al Busaidi, et al.
Stroke|December 19, 2024
Effect of Proximal Blood Flow Arrest During Endovascular Thrombectomy (ProFATE): A Multicenter, Blinded-End Point, Randomized Clinical TrialPermesh Singh Dhillon, Waleed Butt, Anna Podlasek, et al.
Pageof 5