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Youngtaek Hong

Assistant Professor

Dongguk University

South Korea

Research Interests

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Professors in South Korea Professors in Medical Imaging Medical Imaging professors in South Korea

Articles (10)

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

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2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Jae Won Choi

Clinical Assistant Professor

Seoul National University Hospital

SOUTH KOREA

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Yeon Jin Cho

Seoul National University Hospital

SOUTH KOREA

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Seongmin Ha

Assistant professor

Anyang University

SOUTH KOREA

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Byoung Kwon Lee

Interventional cardiologist/ Professor

Yonsei University College of Medicine

SOUTH KOREA

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Sunghee Jung

Assistant professor

Kookmin University

SOUTH KOREA

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Jung-Eun Cheon

Associate Professor

Seoul National University College of Medicine

SOUTH KOREA

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Hyuk-Jae Chang

Yonsei University College of Medicine

SOUTH KOREA

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Eun Cho

Assistant Professor

Gyeongsang National University College of Medicine

SOUTH KOREA

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Yeonyee Yoon

Seoul National University Hospital

SOUTH KOREA

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Youngtaek Hong

Research Interests

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Articles (10)

Simultaneous Viability Assessment and Invasive Coronary Angiography Using a Therapeutic CT System in Chronic Myocardial Infarction Patients

Improving the Reproducibility of Computed Tomography Radiomic Features Using an Enhanced Hierarchical Feature Synthesis Network

An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI

Application of Pathomic Features for Differentiating Dysplastic Cells in Patients with Myelodysplastic Syndrome

Fully Convolutional Hybrid Fusion Network With Heterogeneous Representations for Identification of S1 and S2 From Phonocardiogram

Enhancing Radiomics Reproducibility: Deep Learning-Based Harmonization of Abdominal Computed Tomography (CT) Images

Improvement in Image Quality of Low-Dose CT of Canines with Generative Adversarial Network of Anti-Aliasing Generator and Multi-Scale Discriminator

Generative adversarial network with radiomic feature reproducibility analysis for computed tomography denoising

Deep Learning-Based Computed Tomography Image Standardization to Improve Generalizability of Deep Learning-Based Hepatic Segmentation

Reconstruction of Partially Broken Vascular Structures in X-Ray Images via Vesselness-Loss-Based Multi-Scale Generative Adversarial Networks

Collaborators (9)

Jae Won Choi

Yeon Jin Cho

Seongmin Ha

Byoung Kwon Lee

Sunghee Jung

Jung-Eun Cheon

Hyuk-Jae Chang

Eun Cho

Yeonyee Yoon

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