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Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

C. Bowles, C. Qin, C. Ledig, R. Guerrero, R. Gunn, A. Hammers, E. Sakka, D. Dickie, M. del C. Valdés Hernández, N. Royle, J. Wardlaw, H. Rhodius-Meester, B. Tijms, A. Lemstra, W. van der Flier, F. Barkhof, P. Scheltens, and D. Rueckert. SASHIMI@MICCAI, volume 9968 of Lecture Notes in Computer Science, page 87-96. (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)Employing Weak Annotations for Medical Image Analysis Problems.M. Rajchl, L. Koch, C. Ledig, J. Passerat-Palmbach, K. Misawa, K. Mori, and D. Rueckert. CoRR, (2017)Construction of a 4D Brain Atlas and Growth Model Using Diffeomorphic Registration.A. Schuh, M. Murgasova, A. Makropoulos, C. Ledig, S. Counsell, J. Hajnal, P. Aljabar, and D. Rueckert. STIA, volume 8682 of Lecture Notes in Computer Science, page 27-37. Springer, (2014)Manifold Alignment and Transfer Learning for Classification of Alzheimer's Disease.R. Guerrero, C. Ledig, and D. Rueckert. MLMI, volume 8679 of Lecture Notes in Computer Science, page 77-84. Springer, (2014)Patch-Based Evaluation of Image Segmentation.C. Ledig, W. Shi, W. Bai, and D. Rueckert. CVPR, page 3065-3072. IEEE Computer Society, (2014)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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Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

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 Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.

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

copy delete add this publication to your clipboard
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation.