Robert J. Gray

30 papers Journal 25Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep generative computed perfusion-deficit mapping of ischaemic stroke. CoRR Chayanin Tangwiriyasakul, Pedro Borges, Guilherme Pombo, Stefano Moriconi, Michael S. Elmalem, Paul Wright, Yee-Haur Mah, Jane Rondina, Robert J. Gray, Sébastien Ourselin, Parashkev Nachev, M. Jorge Cardoso
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`	Neuradicon: Operational representation learning of neuroimaging reports. Comput. Methods Programs Biomed. Henry C. Watkins, Robert J. Gray, Adam Julius, Yee-Haur Mah, James T. Teo, Walter H. L. Pinaya, Paul Wright, Ashwani Jha, Holger Engleitner, Jorge Cardoso, Sébastien Ourselin, Geraint Rees, Hans Rolf Jäger, 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`	Realistic morphology-preserving generative modelling of the brain. Nat. Mac. Intell. Petru-Daniel Tudosiu, Walter H. L. Pinaya, Pedro Ferreira Da Costa, Jessica Dafflon, Ashay Patel, Pedro Borges, Virginia Fernandez, Mark S. Graham, Robert J. Gray, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
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	J	`jnl`	Deep Variational Lesion-Deficit Mapping. CoRR Guilherme Pombo, Robert J. Gray, Amy P. K. Nelson, Chris Foulon, John Ashburner, Parashkev Nachev
2023	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. Medical Image Anal. Guilherme Pombo, Robert J. Gray, M. Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, 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`	Patch-CNN: Training data-efficient deep learning for high-fidelity diffusion tensor estimation from minimal diffusion protocols. CoRR Tobias Goodwin-Allcock, Ting Gong, Robert J. Gray, Parashkev Nachev, Hui Zhang
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	—	`conf`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. MICCAI (8) Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	J	`jnl`	Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models. CoRR Walter H. L. Pinaya, Mark S. Graham, Robert J. Gray, Pedro F. Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee-Haur Mah, Andrew D. MacKinnon, James T. Teo, Hans Rolf Jäger, David Werring, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2022	—	`conf`	How Can Spherical CNNs Benefit ML-Based Diffusion MRI Parameter Estimation? CDMRI@MICCAI Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang
2022	J	`jnl`	How can spherical CNNs benefit ML-based diffusion MRI parameter estimation? CoRR Tobias Goodwin-Allcock, Jason D. McEwen, Robert J. Gray, Parashkev Nachev, Hui Zhang
2022	J	`jnl`	Translating automated brain tumour phenotyping to clinical neuroimaging. CoRR James K. Ruffle, Samia Mohinta, Robert J. Gray, Harpreet Hyare, Parashkev Nachev
2022	J	`jnl`	Unsupervised brain imaging 3D anomaly detection and segmentation with transformers. Medical Image Anal. Walter H. L. Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	An artificial intelligence natural language processing pipeline for information extraction in neuroradiology. CoRR Henry C. Watkins, Robert J. Gray, Ashwani Jha, 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
2021	J	`jnl`	Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models. CoRR Guilherme Pombo, Robert J. Gray, Manuel Jorge Cardoso, Sébastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev
2021	J	`jnl`	Hierarchical Graph-Convolutional Variational AutoEncoding for Generative Modelling of Human Motion. CoRR Anthony Bourached, Robert J. Gray, Ryan-Rhys Griffiths, Ashwani Jha, Parashkev Nachev
2021	—	`conf`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. MIDL Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2021	J	`jnl`	Unsupervised Brain Anomaly Detection and Segmentation with Transformers. CoRR Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert J. Gray, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso
2020	J	`jnl`	Generative Model-Enhanced Human Motion Prediction. CoRR Anthony Bourached, Ryan-Rhys Griffiths, Robert J. Gray, Ashwani Jha, Parashkev Nachev
2019	—	`conf`	Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. MICCAI (4) Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2019	J	`jnl`	Bayesian Volumetric Autoregressive generative models for better semisupervised learning. CoRR Guilherme Pombo, Robert J. Gray, Thomas Varsavsky, John Ashburner, Parashkev Nachev
2018	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. Comput. Methods Programs Biomed. Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
2017	J	`jnl`	NiftyNet: a deep-learning platform for medical imaging. CoRR Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert J. Gray, Tom Doel, Yipeng Hu, Tom Whyntie, Parashkev Nachev, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren