Tae Hoon Kim
Yonsei University · Medicine
About the Lab
Professor Tae Hoon Kim's research lab specializes in medical imaging, biomedical engineering, and computational diagnostics, with a focus on advancing cardiovascular and oncological imaging through innovative MRI techniques and machine learning. The lab investigates quantitative cardiac MRI parameters, such as T1 mapping, to improve the assessment of myocardial tissue changes in heart disease. It also explores the application of artificial intelligence and quantum machine learning in enhancing diagnostic accuracy for skin cancer and cybersecurity threats, demonstrating a strong interdisciplinary approach. Additionally, the lab examines biomaterials and UV protection strategies, particularly using bio-based polymers like lignin and cellulose, to address environmental and health challenges related to UV degradation.
Research Overview
Research Output Trend
Figures are computed from collected data and may differ slightly.
Selected Papers
15Findings of this study suggest that pleomorphic carcinomas of the lung preferentially manifest as large peripheral lung neoplasms with a central low-attenuation area and frequently invade the pleura and chest wall.
A two-phase reconstruction method on cardiac MDCT is relatively simple and can provide an objective standard for reconstructing the appropriate image sets for end-diastole and end-systole without the need to review serial preview images.
The adverse effects of UV (ultraviolet) radiation on polymeric materials and organic constituents can damage the molecular structure of human skin and polymeric materials, resulting in their degradation. Therefore, additives or reagents for UV-shielding must be used in related applications, including polymer compounds and skin cosmetics. Bio-based polymers have shown great potential as alternatives to conventional metallic and organic materials (e.g., TiO2 and ZnO) in various applications; there
Skin cancer is common and deadly, hence a correct diagnosis at an early age is essential. Effective therapy depends on precise classification of the several skin cancer forms, each with special traits. Because dermoscopy and other sophisticated imaging methods produce detailed lesion images, early detection has been enhanced. It's still difficult to analyze the images to differentiate benign from malignant tumors, though. Better predictive modeling methods are needed since the diagnostic procedu
In the field of cybersecurity, hackers often enter computer systems despite current security measures, owing to the huge amount of network traffic that makes intruder identification difficult. Differentiating between authorized traffic and abnormal data produced by Distributed Denial of Service (DDoS) attackers is still a major difficulty. This research provides a unique technique that uses Quantum Machine Learning (QML) to improve security protocols for secure communication between two parties.
BACKGROUND: Post-contrast T1 mapping by modified Look-Locker inversion recovery (MOLLI) sequence has been introduced as a promising means to assess an expansion of the extra-cellular space. However, T1 value in the myocardium can be affected by scanning time after bolus contrast injection. In this study, we investigated the changes of the T1 values according to multiple slicing over scanning time at 15 minutes after contrast injection and usefulness of blood T1 correction. METHODS: Eighteen repe
Research Areas
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