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Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.

J. Duan, G. Bello, J. Schlemper, W. Bai, T. Dawes, C. Biffi, A. de Marvao, G. Doumou, D. O'Regan, and D. Rueckert. CoRR, (2018)

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Dr. phil. Rukmani Bai University of Stuttgart

Prof. Dr. -Ing. Utz Baitinger University of Stuttgart

Isela Bailey Loya University of Stuttgart

apl. Prof. Dr. Susanne Bailer University of Stuttgart

Alexandra Baier University of Stuttgart

Other publications of authors with the same name

DeepCut: Object Segmentation From Bounding Box Annotations Using Convolutional Neural Networks.M. Rajchl, M. Lee, O. Oktay, K. Kamnitsas, J. Passerat-Palmbach, W. Bai, M. Damodaram, M. Rutherford, J. Hajnal, B. Kainz and 1 other author(s). IEEE Trans. Med. Imaging, 36 (2): 674-683 (2017)Multi-atlas segmentation with augmented features for cardiac MR images.W. Bai, W. Shi, C. Ledig, and D. Rueckert. Medical Image Analysis, 19 (1): 98-109 (2015)Combining Deep Learning and Shape Priors for Bi-Ventricular Segmentation of Volumetric Cardiac Magnetic Resonance Images.J. Duan, J. Schlemper, W. Bai, T. Dawes, G. Bello, C. Biffi, G. Doumou, A. de Marvao, D. O'Regan, and D. Rueckert. ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 258-267. Springer, (2018)Cardiac MR Segmentation from Undersampled k-space Using Deep Latent Representation Learning.J. Schlemper, O. Oktay, W. Bai, D. Castro, J. Duan, C. Qin, J. Hajnal, and D. Rueckert. MICCAI (1), volume 11070 of Lecture Notes in Computer Science, page 259-267. Springer, (2018)Multi-input Cardiac Image Super-Resolution Using Convolutional Neural Networks.O. Oktay, W. Bai, M. Lee, R. Guerrero, K. Kamnitsas, J. Caballero, A. de Marvao, S. Cook, D. O'Regan, and D. Rueckert. MICCAI (3), volume 9902 of Lecture Notes in Computer Science, page 246-254. (2016)Tracking of Migrating Glioma Cells in Feature Space.W. Bai, X. Zhou, J. Zhu, L. Ji, and S. Wong. ISBI, page 272-275. IEEE, (2007)Three-dimensional cardiovascular imaging-genetics: a mass univariate framework.C. Biffi, A. de Marvao, M. Attard, T. Dawes, N. Whiffin, W. Bai, W. Shi, C. Francis, H. Meyer, R. Buchan and 3 other author(s). Bioinformatics, 34 (1): 97-103 (2018)Multi-Atlas Segmentation using Partially Annotated Data: Methods and Annotation Strategies.L. Koch, M. Rajchl, W. Bai, C. Baumgartner, T. Tong, J. Passerat-Palmbach, P. Aljabar, and D. Rueckert. CoRR, (2016)Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image.C. Qin, W. Bai, J. Schlemper, S. Petersen, S. Piechnik, S. Neubauer, and D. Rueckert. CoRR, (2019)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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Disambiguation of "Bai, Wenjia"

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Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.

Please choose a person to relate this publication to

Dr. phil. Rukmani Bai University of Stuttgart

Prof. Dr. -Ing. Utz Baitinger University of Stuttgart

Isela Bailey Loya University of Stuttgart

apl. Prof. Dr. Susanne Bailer University of Stuttgart

Alexandra Baier University of Stuttgart

Other publications of authors with the same name

Disambiguation

PUMA

Disambiguation of "Bai, Wenjia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.

Please choose a person to relate this publication to

Dr. phil. Rukmani Bai University of Stuttgart

Prof. Dr. -Ing. Utz Baitinger University of Stuttgart

Isela Bailey Loya University of Stuttgart

apl. Prof. Dr. Susanne Bailer University of Stuttgart

Alexandra Baier University of Stuttgart

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Automatic 3D bi-ventricular segmentation of cardiac images by a shape-constrained multi-task deep learning approach.