Jeremy Lynch

According to our database, Jeremy Lynch authored at least 7 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

A Position Statement on Endovascular Models and Effectiveness Metrics for Mechanical Thrombectomy Navigation, on behalf of the Stakeholder Taskforce for AI-assisted Robotic Thrombectomy (START).

Harry Robertshaw, Anna Barnes, Phil Blakelock, Raphael Blanc, Robert Crossley, Rebecca Fahrig, Ameer E. Hassan, Benjamin Jackson, Lennart Karstensen, Neelam Kaur, Markus Kowarschik, Jeremy Lynch, Franziska Mathis-Ullrich, Dwight Meglan, Vitor Mendes Pereira, Mouloud Ourak, Matteo Pantano, S. M. Hadi Sadati, Alice Taylor-Gee, Tom Vercauteren, Phil White, Alejandro Granados, Thomas C. Booth

CoRR, March, 2026

2024

Generative pretrained transformer-4, an artificial intelligence text predictive model, has a high capability for passing novel written radiology exam questions.

Avnish Sood, Nina Mansoor, Caroline Memmi, Magnus Lynch, Jeremy Lynch

Int. J. Comput. Assist. Radiol. Surg., April, 2024

2022

Accurate brain-age models for routine clinical MRI examinations.

David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

NeuroImage, 2022

Deep learning models for triaging hospital head MRI examinations.

David A. Wood, Sina Kafiabadi, Ayisha Al Busaidi, Emily Guilhem, Antanas Montvila, Jeremy Lynch, Matthew Townend, Siddharth Agarwal, Asif Mazumder, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Medical Image Anal., 2022

2021

Automated triaging of head MRI examinations using convolutional neural networks.

David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Antanas Montvila, Siddharth Agarwal, Jeremy Lynch, Matthew Townend, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Proceedings of the Medical Imaging with Deep Learning, 7-9 July 2021, Lübeck, Germany., 2021

2020

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM).

David A. Wood, Jeremy Lynch, Sina Kafiabadi, Emily Guilhem, Aisha Al Busaidi, Antanas Montvila, Thomas Varsavsky, Juveria Siddiqui, Naveen Gadapa, Matthew Townend, Martin Kiik, Keena Patel, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Labelling Imaging Datasets on the Basis of Neuroradiology Reports: A Validation Study.

David A. Wood, Sina Kafiabadi, Aisha Al Busaidi, Emily Guilhem, Jeremy Lynch, Matthew Townend, Antanas Montvila, Juveria Siddiqui, Naveen Gadapa, Matthew Benger, Gareth J. Barker, Sébastien Ourselin, James H. Cole, Thomas C. Booth

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020