Andrea G. Rockall

According to our database, Andrea G. Rockall authored at least 15 papers between 2016 and 2023.

Collaborative distances:

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

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

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

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

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

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

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

Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

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

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

2017

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

2016

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

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016