Kum Ju Chae

According to our database, Kum Ju Chae authored at least 7 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 2024

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

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, March, 2023

Machine Learning-based Prediction of Relative Regional Air Volume Change from Healthy Human Lung CTs.

Eunchan Kim, Yonghyun Lee, Jiwoong Choi, Byungjoon Yoo, Kum Ju Chae, Chang Hyun Lee

KSII Trans. Internet Inf. Syst., February, 2023

2022

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

2021

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

2020

Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomography.

Yi Wang, Hao Zhang, Kum Ju Chae, Younhee Choi, Gong Yong Jin, Seok-Bum Ko

Multidimens. Syst. Signal Process., 2020