A collaborative resource to build consensus for automated left ventricular segmentation of cardiac MR images.

Autor: Suinesiaputra A; Department of Anatomy with Radiology, University of Auckland, New Zealand. Electronic address: a.suinesiaputra@auckland.ac.nz., Cowan BR, Al-Agamy AO, Elattar MA, Ayache N, Fahmy AS, Khalifa AM, Medrano-Gracia P, Jolly MP, Kadish AH, Lee DC, Margeta J, Warfield SK, Young AA

Publikováno v: Medical image analysis [Med Image Anal] 2014 Jan; Vol. 18 (1), pp. 50-62. Date of Electronic Publication: 2013 Sep 13.

Validating MRI-Derived Myocardial Stiffness Estimates Using In Vitro Synthetic Heart Models.

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Light-Weight Localization and Scale-Independent Multi-gate UNET Segmentation of Left and Right Ventricles in MRI Images.

Autor: Abdelrauof, Dina, Essam, Mina, Elattar, Mustafa

Publikováno v: Cardiovascular Engineering & Technology; Jun2022, Vol. 13 Issue 3, p393-406, 14p

Artificial Intelligence in Computer Vision: Cardiac MRI and Multimodality Imaging Segmentation.

Autor: Kwan, Alan C., Salto, Gerran, Cheng, Susan, Ouyang, David

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A Multicenter, Scan-Rescan, Human and Machine Learning CMR Study to Test Generalizability and Precision in Imaging Biomarker Analysis.

Autor: Bhuva, Anish N., Wenjia Bai, Lau, Clement, Davies, Rhodri H., Yang Ye, Bulluck, Heeraj, McAlindon, Elisa, Culotta, Veronica, Swoboda, Peter P., Captur, Gabriella, Treibel, Thomas A., Augusto, Joao B., Knott, Kristopher D., Seraphim, Andreas, Cole, Graham D., Petersen, Steffen E., Edwards, Nicola C., Greenwood, P., Bucciarelli-Ducci, Chiara, Hughes, Alun D.

Publikováno v: Circulation: Cardiovascular Imaging; Oct2019, Vol. 12 Issue 10, p1-11, 11p