Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study

Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study

10.1148/radiol.2016161315

Saved in:
Bibliographic Details
Main Authors: Dawes T.J.W., De Marvao A., Shi W., Fletcher T., Watson G.M.J., Wharton J., Rhodes C.J., Howard L.S.G.E., Gibbs J.S.R., Rueckert D., Cook S.A., Wilkins M.R., O'Regan D.P.
Other Authors: DUKE-NUS MEDICAL SCHOOL
Format: Article
Published: Radiological Society of North America Inc. 2019
Online Access:http://scholarbank.nus.edu.sg/handle/10635/150637
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: National University of Singapore
id sg-nus-scholar.10635-150637
record_format dspace
spelling sg-nus-scholar.10635-1506372023-11-01T08:08:03Z Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study Dawes T.J.W. De Marvao A. Shi W. Fletcher T. Watson G.M.J. Wharton J. Rhodes C.J. Howard L.S.G.E. Gibbs J.S.R. Rueckert D. Cook S.A. Wilkins M.R. O'Regan D.P. DUKE-NUS MEDICAL SCHOOL 10.1148/radiol.2016161315 Radiology 283 2 381-390 RADLA 2019-01-08T09:07:37Z 2019-01-08T09:07:37Z 2017 Article Dawes T.J.W., De Marvao A., Shi W., Fletcher T., Watson G.M.J., Wharton J., Rhodes C.J., Howard L.S.G.E., Gibbs J.S.R., Rueckert D., Cook S.A., Wilkins M.R., O'Regan D.P. (2017). Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study. Radiology 283 (2) : 381-390. ScholarBank@NUS Repository. https://doi.org/10.1148/radiol.2016161315 00338419 http://scholarbank.nus.edu.sg/handle/10635/150637 Radiological Society of North America Inc. Scopus
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
description 10.1148/radiol.2016161315
author2 DUKE-NUS MEDICAL SCHOOL
author_facet DUKE-NUS MEDICAL SCHOOL
Dawes T.J.W.
De Marvao A.
Shi W.
Fletcher T.
Watson G.M.J.
Wharton J.
Rhodes C.J.
Howard L.S.G.E.
Gibbs J.S.R.
Rueckert D.
Cook S.A.
Wilkins M.R.
O'Regan D.P.
format Article
author Dawes T.J.W.
De Marvao A.
Shi W.
Fletcher T.
Watson G.M.J.
Wharton J.
Rhodes C.J.
Howard L.S.G.E.
Gibbs J.S.R.
Rueckert D.
Cook S.A.
Wilkins M.R.
O'Regan D.P.
spellingShingle Dawes T.J.W.
De Marvao A.
Shi W.
Fletcher T.
Watson G.M.J.
Wharton J.
Rhodes C.J.
Howard L.S.G.E.
Gibbs J.S.R.
Rueckert D.
Cook S.A.
Wilkins M.R.
O'Regan D.P.
Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
author_sort Dawes T.J.W.
title Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
title_short Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
title_full Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
title_fullStr Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
title_full_unstemmed Machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: A cardiac MR imaging study
title_sort machine learning of threedimensional right ventricular motion enables outcome prediction in pulmonary hypertension: a cardiac mr imaging study
publisher Radiological Society of North America Inc.
publishDate 2019
url http://scholarbank.nus.edu.sg/handle/10635/150637
_version_ 1781791597186252800

Similar Items