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Computational and Mathematical Methods in Medicine|September 20, 2019
Rapid and Accurate Registration Method between Intraoperative 2D XA and Preoperative 3D CTA Images for Guidance of Percutaneous Coronary InterventionTaeyong Park, Kyoyeong Koo, Juneseuk Shin, et al.Diagnostics (Basel, Switzerland)|April 23, 2022
Deep Learning Segmentation in 2D X-ray Images and Non-Rigid Registration in Multi-Modality Images of Coronary ArteriesTaeyong Park, Seungwoo Khang, Heeryeol Jeong, et al.Biomedical Engineering Letters|January 30, 2023
Non-rigid registration based on hierarchical deformation of coronary arteries in CCTA imagesHeeryeol Jeong, Taeyong Park, Seungwoo Khang, et al.Transplantation Proceedings|March 8, 2022
Visceral Fat Area Is an Independent Risk Factor for Overweight or Obese Nonalcoholic Fatty Liver Disease in Potential Living Liver DonorsSunyoung Lee, Kyoung Won Kim, Jeongjin Lee, et al.Quantitative Imaging in Medicine and Surgery|April 4, 2022
Relationship of body mass index and abdominal fat with radiation dose received during preoperative liver CT in potential living liver donors: a cross-sectional studySunyoung Lee, Kyoung Won Kim, Heon-Ju Kwon, et al.Healthcare Informatics Research|August 17, 2023
Simulation Method for the Physical Deformation of a Three-Dimensional Soft Body in Augmented Reality-Based External Ventricular DrainageKyoyeong Koo, Taeyong Park, Heeryeol Jeong, et al.JMIR Medical Informatics|October 19, 2020
Assessment of Myosteatosis on Computed Tomography by Automatic Generation of a Muscle Quality Map Using a Web-Based Toolkit: Feasibility StudyDong Wook Kim, Kyung Won Kim, Yousun Ko, et al.Scientific Reports|November 5, 2021
Development of a fully automatic deep learning system for L3 selection and body composition assessment on computed tomographyJiyeon Ha, Taeyong Park, Hong-Kyu Kim, et al.Pageof 1