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1 |
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The Transitional Heart: From Early Embryonic and Fetal Development to Neonatal LifeFetal diagnosis and therapy, 2020-05, Vol.47 (5), p.373-386 [Peer Reviewed Journal]2019 The Author(s) Published by S. Karger AG, Basel ;ISSN: 1015-3837 ;ISBN: 9783318065725 ;ISBN: 3318065722 ;EISSN: 1421-9964 ;EISBN: 3318065730 ;EISBN: 9783318065732 ;DOI: 10.1159/000501906 ;PMID: 31533099Digital Resources/Online E-Resources |
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A wearable cardiac ultrasound imagerNature (London), 2023-01, Vol.613 (7945), p.667-675 [Peer Reviewed Journal]2023. The Author(s). ;Copyright Nature Publishing Group Jan 26, 2023 ;The Author(s) 2023 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-022-05498-z ;PMID: 36697864Full text available |
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Motion-compensated gradient waveforms for tensor-valued diffusion encoding by constrained numerical optimizationMagnetic resonance in medicine, 2021-04, Vol.85 (4), p.2117 [Peer Reviewed Journal]ISSN: 1522-2594 ;ISSN: 0740-3194 ;EISSN: 1522-2594 ;DOI: 10.1002/mrm.28551Digital Resources/Online E-Resources |
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Heart function by M-mode and tissue Doppler in the early neonatal period in neonates with fetal growth restrictionEarly human development, 2023-08 [Peer Reviewed Journal]info:eu-repo/semantics/openAccess ;ISSN: 0378-3782 ;EISSN: 1872-6232 ;DOI: 10.1016/j.earlhumdev.2023.105809Digital Resources/Online E-Resources |
5 |
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Clinical recommendations for cardiovascular magnetic resonance mapping of T1, T2, T2 and extracellular volume: A consensus statement by the Society for Cardiovascular Magnetic Resonance (SCMR) endorsed by the European Association for Cardiovascular Imaging (EACVI)Journal of cardiovascular magnetic resonance, 2017-10, Vol.19 (1), p.75-75, Article 75 [Peer Reviewed Journal]COPYRIGHT 2017 BioMed Central Ltd. ;Copyright BioMed Central 2017 ;The Author(s). 2017 ;ISSN: 1532-429X ;ISSN: 1097-6647 ;EISSN: 1532-429X ;DOI: 10.1186/s12968-017-0389-8 ;PMID: 28992817Full text available |
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Material Type: Article
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Automatic multiorgan segmentation in thorax CT images using U‐net‐GANMedical physics (Lancaster), 2019-05, Vol.46 (5), p.2157-2168 [Peer Reviewed Journal]2019 American Association of Physicists in Medicine ;2019 American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.13458 ;PMID: 30810231Full text available |
7 |
Material Type: Article
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A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image ReconstructionIEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.491-503ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2760978 ;PMID: 29035212 ;CODEN: ITMID4Digital Resources/Online E-Resources |
8 |
Material Type: Article
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Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and SegmentationIEEE transactions on medical imaging, 2018-02, Vol.37 (2), p.384-395ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2017.2743464 ;PMID: 28961105 ;CODEN: ITMID4Digital Resources/Online E-Resources |
9 |
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Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D EchocardiographyIEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2198-2210Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2019.2900516Digital Resources/Online E-Resources |
10 |
Material Type: Article
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Analysis of cardiac magnetic resonance imaging in 36,000 individuals yields genetic insights into dilated cardiomyopathyNature communications, 2020-05, Vol.11 (1), p.2254-2254, Article 2254 [Peer Reviewed Journal]The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-15823-7 ;PMID: 32382064Full text available |
11 |
Material Type: Article
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Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning ApproachIEEE transactions on medical imaging, 2019-09, Vol.38 (9), p.2151-2164ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2019.2894322 ;PMID: 30676949 ;CODEN: ITMID4Digital Resources/Online E-Resources |
12 |
Material Type: Article
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Cardiac MRI Endpoints in Myocardial Infarction Experimental and Clinical Trials: JACC Scientific Expert PanelJournal of the American College of Cardiology, 2019-07, Vol.74 (2), p.238-256 [Peer Reviewed Journal]Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved. ;2019. The Authors ;ISSN: 0735-1097 ;EISSN: 1558-3597 ;DOI: 10.1016/j.jacc.2019.05.024 ;PMID: 31296297Full text available |
13 |
Material Type: Article
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Reference ranges ("normal values") for cardiovascular magnetic resonance (CMR) in adults and children: 2020 updateJournal of cardiovascular magnetic resonance, 2020-12, Vol.22 (1), p.87-87, Article 87 [Peer Reviewed Journal]COPYRIGHT 2020 BioMed Central Ltd. ;2020. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020, corrected publication 2021 ;ISSN: 1532-429X ;ISSN: 1097-6647 ;EISSN: 1532-429X ;DOI: 10.1186/s12968-020-00683-3 ;PMID: 33308262Full text available |
14 |
Material Type: Article
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Deep learning as a predictive tool for fetal heart pregnancy following time-lapse incubation and blastocyst transferHuman reproduction (Oxford), 2019-06, Vol.34 (6), p.1011-1018 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the European Society of Human Reproduction and Embryology. ;ISSN: 0268-1161 ;EISSN: 1460-2350 ;DOI: 10.1093/humrep/dez064 ;PMID: 31111884Full text available |
15 |
Material Type: Article
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Learning a Probabilistic Model for Diffeomorphic RegistrationIEEE transactions on medical imaging, 2019-09, p.2165-2176Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0278-0062 ;EISSN: 1558-254X ;DOI: 10.1109/TMI.2019.2897112Digital Resources/Online E-Resources |
16 |
Material Type: Article
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Cardiac substructure segmentation with deep learning for improved cardiac sparingMedical physics (Lancaster), 2020-02, Vol.47 (2), p.576-586 [Peer Reviewed Journal]2019 American Association of Physicists in Medicine ;2019 American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.13940 ;PMID: 31794054Full text available |
17 |
Material Type: Article
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Cardioprotection and lifespan extension by the natural polyamine spermidineNature medicine, 2016-12, Vol.22 (12), p.1428-1438 [Peer Reviewed Journal]COPYRIGHT 2016 Nature Publishing Group ;COPYRIGHT 2016 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2016 ;ISSN: 1078-8956 ;ISSN: 1546-170X ;EISSN: 1546-170X ;DOI: 10.1038/nm.4222 ;PMID: 27841876Full text available |
18 |
Material Type: Article
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Myocardial Viability and Long-Term Outcomes in Ischemic CardiomyopathyThe New England journal of medicine, 2019-08, Vol.381 (8), p.739-748 [Peer Reviewed Journal]Copyright © 2019 Massachusetts Medical Society. All rights reserved. ;Copyright © 2019 Massachusetts Medical Society. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa1807365 ;PMID: 31433921Full text available |
19 |
Material Type: Article
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Arrhythmia risk stratification of patients after myocardial infarction using personalized heart modelsNature communications, 2016-05, Vol.7 (1), p.11437-11437, Article 11437 [Peer Reviewed Journal]Copyright Nature Publishing Group May 2016 ;Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2016 Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/ncomms11437 ;PMID: 27164184Full text available |
20 |
Material Type: Article
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Cartesian dictionary-based native T-1 and T-2 mapping of the myocardiumMagnetic resonance in medicine, 2022-05, Vol.87 (5), p.2347 [Peer Reviewed Journal]ISSN: 1522-2594 ;ISSN: 0740-3194 ;EISSN: 1522-2594 ;DOI: 10.1002/mrm.29143Digital Resources/Online E-Resources |