Andrea G. Rockall

21 papers A 1Journal 11Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Robust prostate disease classification using transformers with discrete representations.
Int. J. Comput. Assist. Radiol. Surg.
Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2024 J jnl
A geometric approach to robust medical image segmentation.
Medical Image Anal.
Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2023 — conf
A Sheaf Theoretic Perspective for Robust Prostate Segmentation.
MICCAI (4)
Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2023 — conf
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation.
DART@MICCAI
Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2023 — conf
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification.
CVPR Workshops
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker
2023 — conf
Topology Preserving Compositionality for Robust Medical Image Segmentation.
CVPR Workshops
Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2022 J jnl
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models.
CoRR
Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker
2022 — conf
Vector Quantisation for Robust Segmentation.
MICCAI (4)
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2022 J jnl
Vector Quantisation for Robust Segmentation.
CoRR
Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker
2021 — conf
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification.
ML-CDS@MICCAI
Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall
2021 — conf
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.
MICCAI (7)
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
2021 J jnl
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.
CoRR
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
2020 J jnl
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment.
CoRR
Fahdi Kanavati, Shah Islam, Zohaib Arain, Eric O. Aboagye, Andrea G. Rockall
2018 J jnl
Automatic L3 slice detection in 3D CT images using fully-convolutional networks.
CoRR
Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea G. Rockall
2018 J jnl
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 A conf
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.
WACV
Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 — conf
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.
MLMI@MICCAI
Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2018 J jnl
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017 J jnl
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
CoRR
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2017 J jnl
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.
IEEE Trans. Medical Imaging
Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker
2016 — conf
Correction of Fat-Water Swaps in Dixon MRI.
MICCAI (3)
Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert