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Representational Ethical Model Calibration


Jul 25, 2022
Robert Carruthers, Isabel Straw, James K Ruffle, Daniel Herron, Amy Nelson, Danilo Bzdok, Delmiro Fernandez-Reyes, Geraint Rees, Parashkev Nachev

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* 13 pages 

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Fitting Segmentation Networks on Varying Image Resolutions using Splatting


Jun 15, 2022
Mikael Brudfors, Yael Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

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* Accepted for MIUA 2022 

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Fast Unsupervised Brain Anomaly Detection and Segmentation with Diffusion Models


Jun 07, 2022
Walter H. L. Pinaya, Mark S. Graham, Robert Gray, Pedro F Da Costa, Petru-Daniel Tudosiu, Paul Wright, Yee H. Mah, Andrew D. MacKinnon, James T. Teo, Rolf Jager, David Werring, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

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Equitable modelling of brain imaging by counterfactual augmentation with morphologically constrained 3D deep generative models


Nov 29, 2021
Guilherme Pombo, Robert Gray, Jorge Cardoso, Sebastien Ourselin, Geraint Rees, John Ashburner, Parashkev Nachev

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An MRF-UNet Product of Experts for Image Segmentation


Apr 12, 2021
Mikael Brudfors, Yaël Balbastre, John Ashburner, Geraint Rees, Parashkev Nachev, Sébastien Ourselin, M. Jorge Cardoso

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* Accepted at MIDL 2021 

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Unsupervised Brain Anomaly Detection and Segmentation with Transformers


Feb 23, 2021
Walter Hugo Lopez Pinaya, Petru-Daniel Tudosiu, Robert Gray, Geraint Rees, Parashkev Nachev, Sebastien Ourselin, M. Jorge Cardoso

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* 22 pages, 9 figures, submitted to MIDL 2021, OpenReview https://openreview.net/forum?id=Z1tlNqbCpp_ 

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Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy


Sep 12, 2018
Stanislav Nikolov, Sam Blackwell, Ruheena Mendes, Jeffrey De Fauw, Clemens Meyer, Cían Hughes, Harry Askham, Bernardino Romera-Paredes, Alan Karthikesalingam, Carlton Chu, Dawn Carnell, Cheng Boon, Derek D'Souza, Syed Ali Moinuddin, Kevin Sullivan, DeepMind Radiographer Consortium, Hugh Montgomery, Geraint Rees, Ricky Sharma, Mustafa Suleyman, Trevor Back, Joseph R. Ledsam, Olaf Ronneberger

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