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Recovery of Myocardial Kinematic Function without the Time History of External Loads., , , и . EURASIP J. Adv. Signal Process., (2010)Towards Noninvasive 3D Imaging of Cardiac Arrhythmias., , и . FIMH, том 4466 из Lecture Notes in Computer Science, стр. 280-289. Springer, (2007)A Physics-Guided Deep Learning Approach for Functional Assessment of Cardiovascular Disease in IoT-Based Smart Health., , , , , и . IEEE Internet Things J., 10 (21): 18505-18516 (ноября 2023)Robust recovery of myocardial kinematics using dual ℋ ∞ H∞ criteria., , , , , , и . Multim. Tools Appl., 77 (17): 23043-23071 (2018)Recent advances in artificial intelligence for cardiac imaging., , , и . Comput. Medical Imaging Graph., (2021)The Relationship between the 24 h Blood Pressure Variability and Carotid Intima-Media Thickness: A Compared Study., , , , , , , и . Comput. Math. Methods Medicine, (2014)Annealing Genetic GAN for Imbalanced Web Data Learning., , , , , и . IEEE Trans. Multim., (2022)Multi-domain integrative Swin transformer network for sparse-view tomographic reconstruction., , , , и . Patterns, 3 (6): 100498 (2022)Distance transform learning for structural and functional analysis of coronary artery from dual-view angiography., , , , , и . Future Gener. Comput. Syst., (августа 2023)Heartbeats Based Biometric Random Binary Sequences Generation to Secure Wireless Body Sensor Networks., , , , и . IEEE Trans. Biomed. Eng., 65 (12): 2751-2759 (2018)