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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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Freerk Erichsen

Hauke Erichsen

Ull Erich

Gerda Erich

Badrian Erich

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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)Variational Bayes for high-dimensional proportional hazards models with applications within gene expression.M. Komodromos, E. Aboagye, M. Evangelou, S. Filippi, and K. Ray. Bioinform., 38 (16): 3918-3926 (2022)Development of a Multi-Task Learning V-Net for Pulmonary Lobar Segmentation on Computed Tomography and Application to Diseased Lungs.M. Martell, M. Chen, K. Linton-Reid, J. Posma, S. Copley, and E. Aboagye. CoRR, (2021)Automatic L3 slice detection in 3D CT images using fully-convolutional networks.F. Kanavati, S. Islam, E. Aboagye, and A. Rockall. CoRR, (2018)Multi-scale Hybrid Transformer Networks: Application to Prostate Disease Classification.A. Santhirasekaram, K. Pinto, M. Winkler, E. Aboagye, B. Glocker, and A. Rockall. ML-CDS@MICCAI, volume 13050 of Lecture Notes in Computer Science, page 12-21. Springer, (2021)Small Organ Segmentation in Whole-Body MRI Using a Two-Stage FCN and Weighting Schemes.V. Valindria, I. Lavdas, J. Cerrolaza, E. Aboagye, A. Rockall, D. Rueckert, and B. Glocker. MLMI@MICCAI, volume 11046 of Lecture Notes in Computer Science, page 346-354. Springer, (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)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)

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Disambiguation of "Aboagye, Eric O."

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Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.

Please choose a person to relate this publication to

Freerk Erichsen

Hauke Erichsen

Ull Erich

Gerda Erich

Badrian Erich

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Aboagye, Eric O."

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

Freerk Erichsen

Hauke Erichsen

Ull Erich

Gerda Erich

Badrian Erich

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Domain Adaptation for MRI Organ Segmentation using Reverse Classification Accuracy.