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Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography., , , , , , , , , и . CoRR, (2023)A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography., , , , , , , и . CoRR, (2023)A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography., , , , , , , и . ISBI, стр. 1-5. IEEE, (2024)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , и . CVII-STENT/LABELS@MICCAI, том 11043 из Lecture Notes in Computer Science, стр. 161-168. Springer, (2018)Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field., , , , , и . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, том 10137 из SPIE Proceedings, стр. 101371W. SPIE, (2017)A Multi-Robot Cooperative Patrolling Algorithm with Sharing Multiple Cycles., , и . EuCNC, стр. 300-304. IEEE, (2019)From RE Cares to SE Cares: software engineering for social good, one venue at a time., , , , , , , , , и 5 other автор(ы). ICSE-SEIS, стр. 49-52. ACM, (2020)Coronary luminal and wall mask prediction using convolutional neural network., , , , , , , , , и . ISBI, стр. 1049-1052. IEEE, (2017)A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA., , , , , , и . Comput. Methods Programs Biomed., 117 (2): 179-188 (2014)Deep learning-based stenosis quantification from coronary CT angiography., , , , , , , , , и 1 other автор(ы). Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109492I. SPIE, (2019)