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)