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Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.

K. Kamnitsas, C. Baumgartner, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, A. Nori, A. Criminisi, D. Rueckert, and B. Glocker. CoRR, (2016)

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Katja Ledig

Astrid Lediger

Rudolf Ledig

Roland Ledig

Elfriede Ledig

Other publications of authors with the same name

A Semi-supervised Large Margin Algorithm for White Matter Hyperintensity Segmentation.C. Qin, R. Moreno, C. Bowles, C. Ledig, P. Scheltens, F. Barkhof, H. Rhodius-Meester, B. Tijms, A. Lemstra, W. van der Flier and 2 other author(s). MLMI@MICCAI, volume 10019 of Lecture Notes in Computer Science, page 104-112. (2016)Rethinking Model Prototyping through the MedMNIST+ Dataset Collection.S. Doerrich, F. Salvo, J. Brockmann, and C. Ledig. CoRR, (2024)Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.K. Kamnitsas, C. Baumgartner, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, A. Nori, A. Criminisi, D. Rueckert and 1 other author(s). CoRR, (2016)Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation.K. Kamnitsas, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, D. Rueckert, and B. Glocker. Medical Image Anal., (2017)Unsupervised Domain Adaptation in Brain Lesion Segmentation with Adversarial Networks.K. Kamnitsas, C. Baumgartner, C. Ledig, V. Newcombe, J. Simpson, A. Kane, D. Menon, A. Nori, A. Criminisi, D. Rueckert and 1 other author(s). IPMI, volume 10265 of Lecture Notes in Computer Science, page 597-609. Springer, (2017)Self-supervised Vision Transformer are Scalable Generative Models for Domain Generalization.S. Doerrich, F. Salvo, and C. Ledig. CoRR, (2024)Privacy-preserving datasets by capturing feature distributions with Conditional VAEs.F. Salvo, D. Tafler, S. Doerrich, and C. Ledig. CoRR, (2024)Contusion segmentation from subjects with Traumatic Brain Injury: A random forest framework.A. Rao, C. Ledig, V. Newcombe, D. Menon, and D. Rueckert. ISBI, page 333-336. IEEE, (2014)Generative Image Translation for Data Augmentation of Bone Lesion Pathology.A. Gupta, S. Venkatesh, S. Chopra, and C. Ledig. MIDL, volume 102 of Proceedings of Machine Learning Research, page 225-235. PMLR, (2019)Multi-atlas segmentation with augmented features for cardiac MR images.W. Bai, W. Shi, C. Ledig, and D. Rueckert. Medical Image Anal., 19 (1): 98-109 (2015)

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Disambiguation of "Ledig, Christian"

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Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.

Please choose a person to relate this publication to

Katja Ledig

Astrid Lediger

Rudolf Ledig

Roland Ledig

Elfriede Ledig

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Ledig, Christian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.

Please choose a person to relate this publication to

Katja Ledig

Astrid Lediger

Rudolf Ledig

Roland Ledig

Elfriede Ledig

Other publications of authors with the same name

Disambiguation

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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Unsupervised domain adaptation in brain lesion segmentation with adversarial networks.