PIMMS: Permutation Invariant Multi-modal Segmentation. - Thomas Varsavsky; Zach Eaton-Rosen; Carole H. Sudre; Parashkev Nachev; M. Jorge Cardoso (DLMIA/ML-CDS@MICCAI, 2018)

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Hans Rolf Jäger; M. Jorge Cardoso (CoRR, 2018)

Physics-Informed Brain MRI Segmentation. - Pedro Borges; Carole H. Sudre; Thomas Varsavsky; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; M. Jorge Cardoso (SASHIMI@MICCAI, 2019)

As Easy as 1, 2...4? Uncertainty in Counting Tasks for Medical Imaging. - Zach Eaton-Rosen; Thomas Varsavsky; Sébastien Ourselin; M. Jorge Cardoso (MICCAI (4), 2019)

Improved MR to CT Synthesis for PET/MR Attenuation Correction Using Imitation Learning. - Kerstin Kläser 002; Thomas Varsavsky; Pawel Markiewicz; Tom Vercauteren; David Atkinson; Kris Thielemans; Brian F. Hutton; M. Jorge Cardoso; Sébastien Ourselin (SASHIMI@MICCAI, 2019)

Multi-domain Adaptation in Brain MRI Through Paired Consistency and Adversarial Learning. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Carole H. Sudre; Zach Eaton-Rosen; Lewis J. Haddow; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; Parashkev Nachev; M. Jorge Cardoso (DART/MIL3ID@MICCAI, 2019)

Bayesian Volumetric Autoregressive Generative Models for Better Semisupervised Learning. - Guilherme Pombo; Robert J. Gray; Thomas Varsavsky; John Ashburner; Parashkev Nachev (MICCAI (4), 2019)

Let's Agree to Disagree: Learning Highly Debatable Multirater Labelling. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Ryutaro Tanno; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MICCAI (4), 2019)

3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects. - Carole H. Sudre; Beatriz Gomez Anson; Silvia Ingala; Chris D. Lane; Daniel Jimenez; Lukas Haider; Thomas Varsavsky; Lorna Smith; Sébastien Ourselin; Hans Rolf Jäger; M. Jorge Cardoso (MIDL, 2019)

Hierarchical Brain Parcellation with Uncertainty. - Mark S. Graham; Carole H. Sudre; Thomas Varsavsky; Petru-Daniel Tudosiu; Parashkev Nachev; Sébastien Ourselin; Manuel Jorge Cardoso (UNSURE/GRAIL@MICCAI, 2020)

Test-Time Unsupervised Domain Adaptation. - Thomas Varsavsky; Mauricio Orbes-Arteaga; Carole H. Sudre; Mark S. Graham; Parashkev Nachev; M. Jorge Cardoso (MICCAI (1), 2020)

Automated Labelling using an Attention model for Radiology reports of MRI scans (ALARM). - David A. Wood 004; Jeremy Lynch; Sina Kafiabadi; Emily Guilhem; Aisha Al Busaidi; Antanas Montvila; Thomas Varsavsky; Juveria Siddiqui; Naveen Gadapa; Matthew Townend; Martin Kiik; Keena Patel; et al. (MIDL, 2020)

Neuromorphologicaly-preserving Volumetric data encoding using VQ-VAE. - Petru-Daniel Tudosiu; Thomas Varsavsky; Richard Shaw; Mark S. Graham; Parashkev Nachev; Sébastien Ourselin; Carole H. Sudre; M. Jorge Cardoso (CoRR, 2020)

A k-Space Model of Movement Artefacts: Application to Segmentation Augmentation and Artefact Removal. - Richard Shaw; Carole H. Sudre; Thomas Varsavsky; Sébastien Ourselin; M. Jorge Cardoso (IEEE Trans. Medical Imaging, 2020)

The Role of MRI Physics in Brain Segmentation CNNs: Achieving Acquisition Invariance and Instructive Uncertainties. - Pedro Borges; Richard Shaw; Thomas Varsavsky; Kerstin Kläser 002; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; Manuel Jorge Cardoso (SASHIMI@MICCAI, 2021)

Imitation learning for improved 3D PET/MR attenuation correction. - Kerstin Kläser 002; Thomas Varsavsky; Pawel Markiewicz; Tom Vercauteren; Alexander Hammers; David Atkinson; Kris Thielemans; Brian F. Hutton; Manuel Jorge Cardoso; Sébastien Ourselin (Medical Image Anal., 2021)

Augmentation based unsupervised domain adaptation. - Mauricio Orbes-Arteaga; Thomas Varsavsky; Lauge Sørensen; Mads Nielsen; Akshay Pai; Sébastien Ourselin; Marc Modat; M. Jorge Cardoso (CoRR, 2022)

Flexible visual prompts for in-context learning in computer vision. - Thomas Foster; Ioana Croitoru; Robert Dorfman; Christoffer Edlund; Thomas Varsavsky; Jon Almazán (CoRR, 2023)

Acquisition-invariant brain MRI segmentation with informative uncertainties. - Pedro Borges; Richard Shaw; Thomas Varsavsky; Kerstin Kläser 002; David Thomas 002; Ivana Drobnjak; Sébastien Ourselin; M. Jorge Cardoso (Medical Image Anal., 2024)