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ORCIDAndrea G. Rockall
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2020 – today
- 2024
[j2]Ainkaran Santhirasekaram, Mathias Winkler
, Andrea G. Rockall, Ben Glocker:
A geometric approach to robust medical image segmentation. Medical Image Anal. 97: 103260 (2024)- 2023
- [c10]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Topology Preserving Compositionality for Robust Medical Image Segmentation. CVPR Workshops 2023: 543-552 - [c9]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Francesca Toni, Ben Glocker:
Robust Hierarchical Symbolic Explanations in Hyperbolic Space for Image Classification. CVPR Workshops 2023: 561-570 - [c8]Ainkaran Santhirasekaram, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation. DART@MICCAI 2023: 52-62 - [c7]Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
A Sheaf Theoretic Perspective for Robust Prostate Segmentation. MICCAI (4) 2023: 249-259 - 2022
- [c6]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. MICCAI (4) 2022: 663-672 - [i8]Ainkaran Santhirasekaram, Avinash Kori, Andrea G. Rockall, Mathias Winkler, Francesca Toni, Ben Glocker:
Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models. CoRR abs/2207.01916 (2022) - [i7]Ainkaran Santhirasekaram, Avinash Kori, Mathias Winkler, Andrea G. Rockall, Ben Glocker:
Vector Quantisation for Robust Segmentation. CoRR abs/2207.01919 (2022) - 2021
- [c5]Ainkaran Santhirasekaram, Karen Pinto, Mathias Winkler, Eric O. Aboagye, Ben Glocker, Andrea G. Rockall:
Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification. ML-CDS@MICCAI 2021: 12-21 - [c4]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:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. MICCAI (7) 2021: 786-796 - [i6]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:
Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification. CoRR abs/2107.07805 (2021) - 2020
- [i5]Fahdi Kanavati, Shah Islam, Zohaib Arain, Eric O. Aboagye, Andrea G. Rockall:
Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment. CoRR abs/2006.06432 (2020)
2010 – 2019
- 2018
- [c3]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes. MLMI@MICCAI 2018: 346-354 - [c2]Vanya V. Valindria, Nick Pawlowski, Martin Rajchl, Ioannis Lavdas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI. WACV 2018: 547-556 - [i4]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy. CoRR abs/1806.00363 (2018) - [i3]Vanya V. Valindria, Ioannis Lavdas, Juan J. Cerrolaza, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Small Organ Segmentation in Whole-body MRI using a Two-stage FCN and Weighting Schemes. CoRR abs/1807.11368 (2018) - [i2]Fahdi Kanavati, Shah Islam, Eric O. Aboagye, Andrea G. Rockall:
Automatic L3 slice detection in 3D CT images using fully-convolutional networks. CoRR abs/1811.09244 (2018) - 2017
- [j1]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. IEEE Trans. Medical Imaging 36(8): 1597-1606 (2017) - [i1]Vanya V. Valindria, Ioannis Lavdas, Wenjia Bai, Konstantinos Kamnitsas, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert, Ben Glocker:
Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth. CoRR abs/1702.03407 (2017) - 2016
- [c1]Ben Glocker, Ender Konukoglu, Ioannis Lavdas, Juan Eugenio Iglesias, Eric O. Aboagye, Andrea G. Rockall, Daniel Rueckert:
Correction of Fat-Water Swaps in Dixon MRI. MICCAI (3) 2016: 536-543
Coauthor Index
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