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Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.

V. Valindria, I. Lavdas, W. Bai, K. Kamnitsas, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. CoRR, (2018)

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Andrea G Zabka

Andrea G Röllin

Giuseppe G G Manzardo

G Lüers

G Baumann

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Vector Quantisation for Robust Segmentation.A. Santhirasekaram, A. Kori, M. Winkler, A. Rockall, and B. Glocker. MICCAI (4), volume 13434 of Lecture Notes in Computer Science, page 663-672. Springer, (2022)Hierarchical Compositionality in Hyperbolic Space for Robust Medical Image Segmentation.A. Santhirasekaram, M. Winkler, A. Rockall, and B. Glocker. DART@MICCAI, volume 14293 of Lecture Notes in Computer Science, page 52-62. Springer, (2023)Multi-modal Learning from Unpaired Images: Application to Multi-organ Segmentation in CT and MRI.V. Valindria, N. Pawlowski, M. Rajchl, I. Lavdas, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. WACV, page 547-556. IEEE Computer Society, (2018)Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.V. Valindria, I. Lavdas, W. Bai, K. Kamnitsas, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. CoRR, (2018)Fully-automated deep learning slice-based muscle estimation from CT images for sarcopenia assessment.F. Kanavati, S. Islam, Z. Arain, E. Aboagye, and A. Rockall. CoRR, (2020)Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth.V. Valindria, I. Lavdas, W. Bai, K. Kamnitsas, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. IEEE Trans. Medical Imaging, 36 (8): 1597-1606 (2017)Hierarchical Symbolic Reasoning in Hyperbolic Space for Deep Discriminative Models.A. Santhirasekaram, A. Kori, A. Rockall, M. Winkler, F. Toni, and B. Glocker. CoRR, (2022)Correction of Fat-Water Swaps in Dixon MRI.B. Glocker, E. Konukoglu, I. Lavdas, J. Iglesias, E. Aboagye, A. Rockall, and D. Rueckert. MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 536-543. (2016)Multiple Instance Learning with Auxiliary Task Weighting for Multiple Myeloma Classification.T. Qaiser, S. Winzeck, T. Barfoot, T. Barwick, S. Doran, M. Kaiser, L. Wedlake, N. Tunariu, D. Koh, C. Messiou and 2 other author(s). MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 786-796. Springer, (2021)A Sheaf Theoretic Perspective for Robust Prostate Segmentation.A. Santhirasekaram, K. Pinto, M. Winkler, A. Rockall, and B. Glocker. MICCAI (4), volume 14223 of Lecture Notes in Computer Science, page 249-259. Springer, (2023)

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Disambiguation of "Rockall, Andrea G."

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Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.

Please choose a person to relate this publication to

Andrea G Zabka

Andrea G Röllin

Giuseppe G G Manzardo

G Lüers

G Baumann

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Rockall, Andrea G."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.

Please choose a person to relate this publication to

Andrea G Zabka

Andrea G Röllin

Giuseppe G G Manzardo

G Lüers

G Baumann

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.