David Thomas

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 8

Top Topics

Anatomical Structures

Inter Subject Registration

Experimental Designs

Top Venues

Medical Image Anal.

Publications

Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Acquisition-invariant brain MRI segmentation with informative uncertainties. Medical Image Anal. 92 (2024)
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
The role of MRI physics in brain segmentation CNNs: achieving acquisition invariance and instructive uncertainties. CoRR (2021)
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Acquisition-invariant brain MRI segmentation with informative uncertainties. CoRR (2021)
Pedro Borges, Richard Shaw, Thomas Varsavsky, Kerstin Kläser, David Thomas, Ivana Drobnjak, Sébastien Ourselin, Manuel Jorge Cardoso
The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. SASHIMI@MICCAI (2021)
Pedro Borges, Carole H. Sudre, Thomas Varsavsky, David Thomas, Ivana Drobnjak, Sébastien Ourselin, M. Jorge Cardoso
Physics-Informed Brain MRI Segmentation. SASHIMI@MICCAI (2019)
David Owen, Andrew Melbourne, Zach Eaton-Rosen, David Thomas, Neil Marlow, Jonathan D. Rohrer, Sébastien Ourselin
Anatomy-Driven Modelling of Spatial Correlation for Regularisation of Arterial Spin Labelling Images. MICCAI (2) (2017)
Catherine J. Scott, Jieqing Jiao, M. Jorge Cardoso, Andrew Melbourne, Enrico De Vita, David Thomas, Ninon Burgos, Pawel Markiewicz, Jonathan M. Schott, Brian F. Hutton, Sébastien Ourselin
Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis. MICCAI (2) (2017)
David Owen, Andrew Melbourne, David Thomas, Enrico De Vita, Jonathan D. Rohrer, Sébastien Ourselin
Optimisation of Arterial Spin Labelling Using Bayesian Experimental Design. MICCAI (3) (2016)