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Youngtaek Hong

Showing results (1-10 of 28) with videos related to

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Bioengineering (Basel, Switzerland)|January 8, 2025
Application of Pathomic Features for Differentiating Dysplastic Cells in Patients with Myelodysplastic SyndromeYoungtaek Hong, Seri Jeong, Min-Jeong Park, et al.
IEEE Journal of Biomedical and Health Informatics|July 19, 2024
Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From PhonocardiogramYeonggul Jang, Juyeong Jung, Youngtaek Hong, et al.
Computational and Mathematical Methods in Medicine|February 24, 2016
Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT ImagesYeonggul Jang, Ho Yub Jung, Youngtaek Hong, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale DiscriminatorYuseong Son, Sihyeon Jeong, Youngtaek Hong, et al.
Computer Methods and Programs in Biomedicine|August 10, 2014
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTADongjin Han, Nam-Thai Doan, Hackjoon Shim, et al.
Plos One|August 19, 2016
Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT AngiographyDongjin Han, Hackjoon Shim, Byunghwan Jeon, et al.
European Heart Journal. Digital Health|July 31, 2024
Artificial intelligence-enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable anginaJiesuck Park, Joonghee Kim, Si-Hyuck Kang, et al.
Yonsei Medical Journal|April 23, 2024
Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction PatientsSeongmin Ha, Yeonggul Jang, Byoung Kwon Lee, et al.
Investigative Radiology|November 28, 2021
Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom StudySeul Bi Lee, Yeon Jin Cho, Youngtaek Hong, et al.
Journal of Thoracic Imaging|October 27, 2023
Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning: The Role of the Radiomics ScoreHyunseok Jeong, Hyung-Bok Park, Jongsoo Hong, et al.
Pageof 3

Showing results (1-10 of 28) with videos related to

Sort By:
Pageof 3
Bioengineering (Basel, Switzerland)|January 8, 2025
Application of Pathomic Features for Differentiating Dysplastic Cells in Patients with Myelodysplastic SyndromeYoungtaek Hong, Seri Jeong, Min-Jeong Park, et al.
IEEE Journal of Biomedical and Health Informatics|July 19, 2024
Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From PhonocardiogramYeonggul Jang, Juyeong Jung, Youngtaek Hong, et al.
Computational and Mathematical Methods in Medicine|February 24, 2016
Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT ImagesYeonggul Jang, Ho Yub Jung, Youngtaek Hong, et al.
Bioengineering (Basel, Switzerland)|September 27, 2024
Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale DiscriminatorYuseong Son, Sihyeon Jeong, Youngtaek Hong, et al.
Computer Methods and Programs in Biomedicine|August 10, 2014
A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTADongjin Han, Nam-Thai Doan, Hackjoon Shim, et al.
Plos One|August 19, 2016
Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT AngiographyDongjin Han, Hackjoon Shim, Byunghwan Jeon, et al.
European Heart Journal. Digital Health|July 31, 2024
Artificial intelligence-enhanced electrocardiography analysis as a promising tool for predicting obstructive coronary artery disease in patients with stable anginaJiesuck Park, Joonghee Kim, Si-Hyuck Kang, et al.
Yonsei Medical Journal|April 23, 2024
Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction PatientsSeongmin Ha, Yeonggul Jang, Byoung Kwon Lee, et al.
Investigative Radiology|November 28, 2021
Deep Learning-Based Image Conversion Improves the Reproducibility of Computed Tomography Radiomics Features: A Phantom StudySeul Bi Lee, Yeon Jin Cho, Youngtaek Hong, et al.
Journal of Thoracic Imaging|October 27, 2023
Identifying Coronary Artery Calcification Using Chest X-ray Radiographs and Machine Learning: The Role of the Radiomics ScoreHyunseok Jeong, Hyung-Bok Park, Jongsoo Hong, et al.
Pageof 3