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Disambiguation of "Hong, Youngtaek"

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Maximum a posteriori estimation method for aorta localization and coronary seed identification.

, , , , , , , , and . Pattern Recognit., (2017)

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Moon-Shin Hong

Kang-hun Hong

Xin Hong

Jung-soo Hong

Youn-Ho Hong

 

Other publications of authors with the same name

Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography., , , , , , , , , and . CoRR, (2023)A Unified Approach for Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography., , , , , , , and . CoRR, (2023)Echocardiographic View Classification with Integrated Out-of-Distribution Detection for Enhanced Automatic Echocardiographic Analysis., , , , , , , , and . CoRR, (2023)A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA., , , , , , and . Comput. Methods Programs Biomed., 117 (2): 179-188 (2014)Deep learning-based stenosis quantification from coronary CT angiography., , , , , , , , , and 1 other author(s). Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109492I. SPIE, (2019)Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field., , , , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 10137 of SPIE Proceedings, page 101371W. SPIE, (2017)Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images., , , , , and . CVII-STENT/LABELS@MICCAI, volume 11043 of Lecture Notes in Computer Science, page 161-168. Springer, (2018)Maximum a posteriori estimation method for aorta localization and coronary seed identification., , , , , , , , and . Pattern Recognit., (2017)Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network., , , , , , and . IEEE Access, (2024)Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks., , , , , , , and . IEEE Access, (2023)