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Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.

H. Wang, W. Shi, W. Bai, A. de Marvao, T. Dawes, D. O'Regan, P. Edwards, S. Cook, and D. Rueckert. FIMH, volume 9126 of Lecture Notes in Computer Science, page 91-98. Springer, (2015)

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Mingzeng Bai

Xue Bai

Alexandra Bai

Fuchen Bai

Yun Bai

Other publications of authors with the same name

Memory-efficient Segmentation of High-resolution Volumetric MicroCT Images.Y. Wang, L. Blackie, I. Miguel-Aliaga, and W. Bai. MIDL, volume 172 of Proceedings of Machine Learning Research, page 1322-1335. PMLR, (2022)CHeart: A Conditional Spatio-Temporal Generative Model for Cardiac Anatomy.M. Qiao, S. Wang, H. Qiu, A. de Marvao, D. O'Regan, D. Rueckert, and W. Bai. IEEE Trans. Medical Imaging, 43 (3): 1259-1269 (March 2024)Deep Learning for Cardiac Image Segmentation: A ReviewC. Chen, C. Qin, H. Qiu, G. Tarroni, J. Duan, W. Bai, and D. Rueckert. Front. Cardiovasc. Med., (March 2020)Better Together: Data Harmonization and Cross-Study Analysis of Abdominal MRI Data From UK Biobank and the German National CohortS. Gatidis, T. Kart, M. Fischer, S. Winzeck, B. Glocker, W. Bai, R. Bülow, C. Emmel, L. Friedrich, H. Kauczor and 15 other author(s). Investigative Radiology, (2022)Efficient Deep Representation Learning by Adaptive Latent Space Sampling.Y. Mo, S. Wang, C. Dai, R. Zhou, Z. Teng, W. Bai, and Y. Guo. CoRR, (2020)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)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)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). Bioinform., 34 (1): 97-103 (2018)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. de 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)

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Disambiguation of "Bai, Wenjia"

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Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.

Please choose a person to relate this publication to

Mingzeng Bai

Xue Bai

Alexandra Bai

Fuchen Bai

Yun Bai

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bai, Wenjia"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.

Please choose a person to relate this publication to

Mingzeng Bai

Xue Bai

Alexandra Bai

Fuchen Bai

Yun Bai

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
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Prediction of Clinical Information from Cardiac MRI Using Manifold Learning.