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Automated detection of shockable ECG signals: A review., , , , , , , , , и 5 other автор(ы). Inf. Sci., (2021)A novel automated diagnostic system for classification of myocardial infarction ECG signals using an optimal biorthogonal filter bank., , и . Comput. Biol. Medicine, (2018)Automated detection and localization of myocardial infarction using electrocardiogram: a comparative study of different leads., , , , , , , , , и 2 other автор(ы). Knowl. Based Syst., (2016)Deep Image Analysis for Microalgae Identification., , , , , , , , , и . iiWAS, том 14416 из Lecture Notes in Computer Science, стр. 280-292. Springer, (2023)Automatic Segmentation of Coronary Artery Lumen via Anisotropic Graph-cuts., , , , , , и . EMBC, стр. 4871-4874. IEEE, (2019)Automatic Generation of Surface Meshes for Right Ventricle with 1-to-1 Vertex Correspondence from Cine-MR Images., , , , и . CinC, стр. 753-756. www.cinc.org, (2015)Feature Tracking for Ventricular Strain Assessment in Heart Failure with Preserved Ejection Fraction., , , и . CinC, стр. 1-2. IEEE, (2019)Automated pre-screening of arrhythmia using hybrid combination of Fourier-Bessel expansion and LSTM., , , , и . Comput. Biol. Medicine, (2020)Artificial Intelligence and Diabetes Mellitus: An Inside Look Through the Retina., , , , , , , , , и . CoRR, (2024)Automated stenosis classification on invasive coronary angiography using modified dual cross pattern with iterative feature selection., , , , , , , , и . Multim. Tools Appl., 83 (12): 35957-35977 (апреля 2024)