Gong Yong Jin

According to our database, Gong Yong Jin authored at least 12 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Novel Vision Transformer + InceptionV3 Hybrid Network for Accurate Diagnosis of Ankylosing Spondylitis from Computed Tomography Scans.

Riel Castro-Zunti, Eun Hae Park, Amol Satsangi, Younhee Choi, Gong Yong Jin, Hee Suk Chae, Seok-Bum Ko

Mach. Intell. Res., December, 2025

A lightweight convolutional neural network based on U shape structure and attention mechanism for anterior mediastinum segmentation.

Sina Soleimani Fard, Won Gi Jeong, Francis Ferri Ripalda, Hasti Sasani, Younhee Choi, S. Deiva, Gong Yong Jin, Seok-Bum Ko

Neural Comput. Appl., September, 2025

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

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

Anterior mediastinal nodular lesion segmentation from chest computed tomography imaging using UNet based neural network with attention mechanisms.

Yi Wang, Won Gi Jeong, Hao Zhang, Younhee Choi, Gong Yong Jin, Seok-Bum Ko

Multim. Tools Appl., May, 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

RibFractureSys: A gem in the face of acute rib fracture diagnoses.

Riel Castro-Zunti, Kaike Li, Aleti Vardhan, Younhee Choi, Gong Yong Jin, Seok-Bum Ko

Comput. Medical Imaging Graph., 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

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

Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysis.

Riel Castro-Zunti, Eun Hae Park, Younhee Choi, Gong Yong Jin, Seok-Bum Ko

Comput. Medical Imaging Graph., 2020