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Quantification of Myocardial Viability in Late-Gadolinium Enhancement Cardiac MRI., , , и . CinC, стр. 97-100. www.cinc.org, (2015)Automated left and right ventricular chamber segmentation in cardiac magnetic resonance images using dense fully convolutional neural network., , , , , , и . Comput. Methods Programs Biomed., (2021)Three-Dimensional Segmentation and Quantification of the Anatomic Regurgitant Orifice in Mitral Regurgitation using 3D Ultrasound Images., , , и . CinC, стр. 13-16. www.cinc.org, (2015)Automated Registration of 3D TEE Datasets of the Descending Aorta for Improved Examination and Quantification of Atheromas Burden., , , , , , , и . WBIR, том 8545 из Lecture Notes in Computer Science, стр. 83-92. Springer, (2014)A token-mixer architecture for CAD-RADS classification of coronary stenosis on multiplanar reconstruction CT images., , , , , , , , , и . Comput. Biol. Medicine, (февраля 2023)3D right ventricular endocardium segmentation in cardiac magnetic resonance images by using a new inter-modality statistical shape modelling method., , , , , , , , , и 2 other автор(ы). Biomed. Signal Process. Control., (2020)A statistical shape model of the left ventricle from real-time 3D echocardiography and its application to myocardial segmentation of cardiac magnetic resonance images., , , , , , , , , и . Comput. Biol. Medicine, (2018)Evaluation of Different Statistical Shape Models for Segmentation of the Left Ventricular Endocardium from Magnetic Resonance Images., , , , , , , , , и . CinC, стр. 105-108. www.cinc.org, (2015)A Novel Approach Based on Spatio-temporal Features and Random Forest for Scar Detection Using Cine Cardiac Magnetic Resonance Images., , , , , , , и . CinC, стр. 1-4. IEEE, (2020)Right Ventricular Endocardial Segmentation in CMR Images using a Novel Inter-Modality Statistical Shape Modelling Approach., , , , , , , , и . CinC, www.cinc.org, (2016)