Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography. - Yi Wang 064; Hao Zhang 041; Kum Ju Chae; Younhee Choi; Gong Yong Jin; Seok-Bum Ko (Multidimens. Syst. Signal Process., 2020)

Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classification. - Riel Castro-Zunti; Kum Ju Chae; Younhee Choi; Gong Yong Jin; Seok-Bum Ko (Comput. Medical Imaging Graph., 2021)

Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network technique. - Taewoo Kim; Woo Jin Kim; Chang Hyun Lee; Kum Ju Chae; So Hyeon Bak; Sung Ok Kwon; Gong Yong Jin; Eun-Kee Park; Sanghun Choi (Comput. Biol. Medicine, 2022)

Machine Learning-based Prediction of Relative Regional Air Volume Change from Healthy Human Lung CTs. - Eunchan Kim 002; Yonghyun Lee; Jiwoong Choi; Byungjoon Yoo; Kum Ju Chae; Chang Hyun Lee (KSII Trans. Internet Inf. Syst., 2023)

An unsupervised image registration method employing chest computed tomography images and deep neural networks. - Thao Thi Ho; Woojin Kim; Chang Hyun Lee; Gong Yong Jin; Kum Ju Chae; Sanghun Choi (Comput. Biol. Medicine, 2023)

Human-airway surface mesh smoothing based on graph convolutional neural networks. - Thao Thi Ho; Minh Tam Tran; Xinguang Cui; Ching-Long Lin; Stephen Baek; Woojin Kim; Chang Hyun Lee; Gong Yong Jin; Kum Ju Chae; Sanghun Choi (Comput. Methods Programs Biomed., 2024)

BranchLabelNet: Anatomical Human Airway Labeling Approach using a Dividing-and-Grouping Multi-Label Classification. - Ngan-Khanh Chau; Truong-Thanh Ma; Woo Jin Kim; Chang Hyun Lee; Gong Yong Jin; Kum Ju Chae; Sanghun Choi (Medical Biol. Eng. Comput., 2024)

Quantitative computed tomography imaging classification of cement dust-exposed patients-based Kolmogorov-Arnold networks. - Ngan-Khanh Chau; Woo Jin Kim; Chang Hyun Lee; Kum Ju Chae; Gong Yong Jin; Sanghun Choi (Artif. Intell. Medicine, 2025)