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Healthcare Informatics Research|August 21, 2025
Machine Learning-Based Age Prediction with Feature Subset Selection from Magnetic Resonance Angiography DataHoon-Seok Yoon, Yoon-Chul KimBrain Sciences|November 25, 2023
Assessing Machine Learning Models for Predicting Age with Intracranial Vessel Tortuosity and Thickness InformationHoon-Seok Yoon, Jeongmin Oh, Yoon-Chul KimTomography (Ann Arbor, Mich.)|November 22, 2022
Estimation of Cardiac Short Axis Slice Levels with a Cascaded Deep Convolutional and Recurrent Neural Network ModelNamgyu Ho, Yoon-Chul KimScientific Reports|January 20, 2021
Evaluation of transfer learning in deep convolutional neural network models for cardiac short axis slice classificationNamgyu Ho, Yoon-Chul KimPhysica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|March 6, 2023
Automated identification of myocardial perfusion defects in dynamic cardiac computed tomography using deep learningYoon-Chul Kim, Yeon Hyeon ChoeTomography (Ann Arbor, Mich.)|July 25, 2023
Effects of Path-Finding Algorithms on the Labeling of the Centerlines of Circle of Willis ArteriesSe-On Kim, Yoon-Chul KimBMC Medical Imaging|August 24, 2023
Evaluation of convolutional neural networks for the detection of inter-breath-hold motion from a stack of cardiac short axis slice imagesYoon-Chul Kim, Min Woo KimJournal of Imaging|March 27, 2024
An Improved Path-Finding Method for the Tracking of Centerlines of Tortuous Internal Carotid Arteries in MR AngiographySe-On Kim, Yoon-Chul KimQuantitative Imaging in Medicine and Surgery|December 18, 2023
Automatic calculation of myocardial perfusion reserve using deep learning with uncertainty quantificationYoon-Chul Kim, Kyurae Kim, Yeon Hyeon ChoePhysica Medica : PM : an International Journal Devoted to the Applications of Physics to Medicine and Biology : Official Journal of the Italian Association of Biomedical Physics (AIFB)|December 6, 2023
Deep learning for classification of late gadolinium enhancement lesions based on the 16-segment left ventricular modelYoon-Chul Kim, Younjoon Chung, Yeon Hyeon ChoePageof 5