James K. Ruffle

According to our database, James K. Ruffle authored at least 14 papers between 2020 and 2026.

Collaborative distances:

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

2026

Fairboard: a quantitative framework for equity assessment of healthcare models.

James K. Ruffle, Samia Mohinta, Chris Foulon, Mohamad Zeina, Zicheng Wang, Sebastian Brandner, Harpreet Hyare, Parashkev Nachev

CoRR, April, 2026

2025

Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance.

James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev

CoRR, December, 2025

Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence.

James K. Ruffle, Samia Mohinta, Guilherme Pombo, Asthik Biswas, Alan Campbell, Indran Davagnanam, David Doig, Ahmed Hamman, Harpreet Hyare, Farrah Jabeen, Emma Lim, Dermot Mallon, Stephanie Owen, Sophie Wilkinson, Sebastian Brandner, Parashkev Nachev

CoRR, August, 2025

Generalizable automated ischaemic stroke lesion segmentation with vision transformers.

Chris Foulon, Robert J. Gray, James K. Ruffle, Jonathan Best, Tianbo Xu, Henry C. Watkins, Jane Rondina, Guilherme Pombo, Dominic Giles, Paul Wright, Marcela Ovando Tellez, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Parashkev Nachev

CoRR, February, 2025

2024

Computational limits to the legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

NeuroImage, 2024

VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI.

James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare

CoRR, 2024

2023

Compressed representation of brain genetic transcription.

James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev

CoRR, 2023

The legibility of the imaged human brain.

James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev

CoRR, 2023

The minimal computational substrate of fluid intelligence.

Amy P. K. Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev

CoRR, 2023

InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data.

Dominic Giles, Robert J. Gray, Chris Foulon, Guilherme Pombo, Tianbo Xu, James K. Ruffle, Hans Rolf Jäger, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Ashwani Jha, Parashkev Nachev

Proceedings of the Machine Learning for Multimodal Healthcare Data, 2023

2022

Deep forecasting of translational impact in medical research.

Amy P. K. Nelson, Robert J. Gray, James K. Ruffle, Henry C. Watkins, Daniel Herron, Nick Sorros, Danil Mikhailov, M. Jorge Cardoso, Sébastien Ourselin, Nick McNally, Bryan Williams, Geraint E. Rees, Parashkev Nachev

Patterns, 2022

Representational ethical model calibration.

Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev

npj Digit. Medicine, 2022

Translating automated brain tumour phenotyping to clinical neuroimaging.

James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev

CoRR, 2022

2020

Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging.

Baris Kanber, James K. Ruffle, M. Jorge Cardoso, Sébastien Ourselin, Olga Ciccarelli

Neuroinformatics, 2020