Correction of Fat-Water Swaps in Dixon MRI. - Ben Glocker; Ender Konukoglu; Ioannis Lavdas; Juan Eugenio Iglesias; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert (MICCAI (3), 2016)

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (IEEE Trans. Medical Imaging, 2017)

Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. - Vanya V. Valindria; Ioannis Lavdas; Juan J. Cerrolaza; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (MLMI@MICCAI, 2018)

Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. - Vanya V. Valindria; Nick Pawlowski; Martin Rajchl; Ioannis Lavdas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (WACV, 2018)

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. - Vanya V. Valindria; Ioannis Lavdas; Wenjia Bai; Konstantinos Kamnitsas; Eric O. Aboagye; Andrea G. Rockall; Daniel Rueckert; Ben Glocker (CoRR, 2018)

Automatic L3 slice detection in 3D CT images using fully-convolutional networks. - Fahdi Kanavati; Shah Islam; Eric O. Aboagye; Andrea G. Rockall (CoRR, 2018)

Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. - Fahdi Kanavati; Shah Islam; Zohaib Arain; Eric O. Aboagye; Andrea G. Rockall (CoRR, 2020)

Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. - Talha Qaiser; Stefan Winzeck; Theodore Barfoot; Tara Barwick; Simon J. Doran; Martin F. Kaiser; Linda Wedlake; Nina Tunariu; Dow-Mu Koh; Christina Messiou; Andrea G. Rockall; Ben Glocker (MICCAI (7), 2021)

Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. - Ainkaran Santhirasekaram; Karen Pinto; Mathias Winkler; Eric O. Aboagye; Ben Glocker; Andrea G. Rockall (ML-CDS@MICCAI, 2021)

Vector Quantisation for Robust Segmentation. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Ben Glocker (MICCAI (4), 2022)

Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. - Ainkaran Santhirasekaram; Avinash Kori; Andrea G. Rockall; Mathias Winkler; Francesca Toni; Ben Glocker (CoRR, 2022)

Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. - Ainkaran Santhirasekaram; Avinash Kori; Mathias Winkler; Andrea G. Rockall; Francesca Toni; Ben Glocker (CVPR Workshops, 2023)

Topology Preserving Compositionality for Robust Medical Image Segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (CVPR Workshops, 2023)

A Sheaf Theoretic Perspective for Robust Prostate Segmentation. - Ainkaran Santhirasekaram; Karen Pinto; Mathias Winkler; Andrea G. Rockall; Ben Glocker (MICCAI (4), 2023)

Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (DART@MICCAI, 2023)

A geometric approach to robust medical image segmentation. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (Medical Image Anal., 2024)

Robust prostate disease classification using transformers with discrete representations. - Ainkaran Santhirasekaram; Mathias Winkler; Andrea G. Rockall; Ben Glocker (Int. J. Comput. Assist. Radiol. Surg., 2025)