James K. Ruffle

15 papers Journal 14Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bidirectional human-AI collaboration in brain tumour assessments improves both expert human and AI agent performance.
CoRR
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
2025 J jnl
Generalizable automated ischaemic stroke lesion segmentation with vision transformers.
CoRR
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
2025 J jnl
Predicting brain tumour enhancement from non-contrast MR imaging with artificial intelligence.
CoRR
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
2024 J jnl
Computational limits to the legibility of the imaged human brain.
NeuroImage
James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2024 J jnl
VASARI-auto: equitable, efficient, and economical featurisation of glioma MRI.
CoRR
James K. Ruffle, Samia Mohinta, Kelly Pegoretti Baruteau, Rebekah Rajiah, Faith Lee, Sebastian Brandner, Parashkev Nachev, Harpreet Hyare
2023 J jnl
Compressed representation of brain genetic transcription.
CoRR
James K. Ruffle, Henry C. Watkins, Robert J. Gray, Harpreet Hyare, Michel Thiebaut de Schotten, Parashkev Nachev
2023 — conf
InterSynth: A Semi-Synthetic Framework for Benchmarking Prescriptive Inference from Observational Data.
ML4MHD
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
2023 J jnl
The legibility of the imaged human brain.
CoRR
James K. Ruffle, Robert J. Gray, Samia Mohinta, Guilherme Pombo, Chaitanya Kaul, Harpreet Hyare, Geraint Rees, Parashkev Nachev
2023 J jnl
The minimal computational substrate of fluid intelligence.
CoRR
Amy P. K. Nelson, Joe Mole, Guilherme Pombo, Robert J. Gray, James K. Ruffle, Edgar Chan, Geraint E. Rees, Lisa Cipolotti, Parashkev Nachev
2022 J jnl
Deep forecasting of translational impact in medical research.
Patterns
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
2022 J jnl
Representational Ethical Model Calibration.
CoRR
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2022 J jnl
Representational ethical model calibration.
npj Digit. Medicine
Robert Carruthers, Isabel Straw, James K. Ruffle, Daniel Herron, Amy P. K. Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev
2022 J jnl
Translating automated brain tumour phenotyping to clinical neuroimaging.
CoRR
James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev
2021 J jnl
Deep forecasting of translational impact in medical research.
CoRR
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
2020 J jnl
Neurosense: deep sensing of full or near-full coverage head/brain scans in human magnetic resonance imaging.
Neuroinformatics
Baris Kanber, James K. Ruffle, M. Jorge Cardoso, Sébastien Ourselin, Olga Ciccarelli