Youngtaek Hong
Orcid: 0000-0003-2104-5905
According to our database1,
Youngtaek Hong
authored at least 15 papers
between 2014 and 2024.
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Bibliography
2024
Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network.
IEEE Access, 2024
A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler Echocardiography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
2023
Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising.
Comput. Biol. Medicine, June, 2023
Self supervised convolutional kernel based handcrafted feature harmonization: Enhanced left ventricle hypertension disease phenotyping on echocardiography.
CoRR, 2023
Echocardiographic View Classification with Integrated Out-of-Distribution Detection for Enhanced Automatic Echocardiographic Analysis.
CoRR, 2023
Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks.
IEEE Access, 2023
2022
Bayesian approaches for Quantifying Clinicians' Variability in Medical Image Quantification.
CoRR, 2022
2019
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the European Conference on Networks and Communications, 2019
2018
Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images.
Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018
2017
Maximum a posteriori estimation method for aorta localization and coronary seed identification.
Pattern Recognit., 2017
Nonrigid 2D registration of fluoroscopic coronary artery image sequence with propagated deformation field.
Proceedings of the Medical Imaging 2017: Biomedical Applications in Molecular, 2017
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017
2016
Comput. Math. Methods Medicine, 2016
2014
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA.
Comput. Methods Programs Biomed., 2014