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Deep learning-based stenosis quantification from coronary CT angiography.

, , , , , , , , , , и . Medical Imaging: Image Processing, том 10949 из SPIE Proceedings, стр. 109492I. SPIE, (2019)

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Kang-hun Hong

Xin Hong

Moon-Shin Hong

Jung-soo Hong

Youn-Ho Hong

 

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A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography., , , , , , , и . CoRR, (2023)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 . ISBI, стр. 1-5. IEEE, (2024)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)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)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)