Mathias Winkler

According to our database, Mathias Winkler authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A geometric approach to robust medical image segmentation.

Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Medical Image Anal., 2024

2023

Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation.

Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Proceedings of the Domain Adaptation and Representation Transfer - 5th MICCAI Workshop, 2023

A Sheaf Theoretic Perspective for Robust Prostate Segmentation.

Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Topology Preserving Compositionality for Robust Medical Image Segmentation.

Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification.

Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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

Vector Quantisation for Robust Segmentation.

Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

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

Proceedings of the Multimodal Learning for Clinical Decision Support, 2021