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Browsing by Yonsei Author : Hong, Youngtaek

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Name :
Hong, Youngtaek [홍영택]
Department :
College of Medicine (의과대학) - Yonsei Biomedical Research Center (연세의생명연구원)

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Showing results 1 to 20 of 20

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Issue DateTitleJournal Title
2025Artificial intelligence-enhanced comprehensive assessment of the aortic valve stenosis continuum in echocardiography EBIOMEDICINE
2024Enhancing Radiomics Reproducibility: Deep Learning-Based Harmonization of Abdominal Computed Tomography (CT) Images Bioengineering
2024Application of Pathomic Features for Differentiating Dysplastic Cells in Patients with Myelodysplastic Syndrome Bioengineering
2024Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From PhonocardiogramIEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS
2024Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale Discriminator Bioengineering
2024A Unified Approach For Comprehensive Analysis of Various Spectral and Tissue Doppler EchocardiographyIEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING, ISBI 2024
2024Artificial intelligence-enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable angina European Heart Journal. Digital Health
2024Artificial intelligence-enhanced automation for M-mode echocardiographic analysis: ensuring fully automated, reliable, and reproducible measurementsINTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING
2024Artificial intelligence-enhanced automation of left ventricular diastolic assessment: a pilot study for feasibility, diagnostic validation, and outcome prediction CARDIOVASCULAR DIAGNOSIS AND THERAPY
2024Prediction of the development of new coronary atherosclerotic plaques with radiomicsJOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY
2024Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction Patients YONSEI MEDICAL JOURNAL
2024Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning The Role of the Radiomics Score JOURNAL OF THORACIC IMAGING
2024Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis NetworkIEEE ACCESS
2023Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks IEEE ACCESS
2023Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation KOREAN JOURNAL OF RADIOLOGY
2023Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising COMPUTERS IN BIOLOGY AND MEDICINE
2020Diagnostic Accuracy of a Novel On-site Virtual Fractional Flow Reserve Parallel Computing System YONSEI MEDICAL JOURNAL
2019Deep Learning-Based Stenosis Quantification From Coronary CT Angiography Proceedings of SPIE--the International Society for Optical Engineering
2019Clinical feasibility of catheter-directed selective intracoronary computed tomography angiography using an extremely low dose of iodine in patients with coronary artery diseaseEUROPEAN RADIOLOGY
2017Maximum a posteriori estimation method for aorta localization and coronary seed identificationPATTERN RECOGNITION
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