Gong Yong Jin - researchr alias

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Viewing Publication 1 - 5 from 5

2023

An unsupervised image registration method employing chest computed tomography images and deep neural networksThao Thi Ho, Woojin Kim, Chang-Hyun Lee, Gong Yong Jin, Kum Ju Chae, Sanghun Choi. cbm, 154:106612, March 2023. [doi]

2022

Quantitative computed tomography imaging-based classification of cement dust-exposed subjects with an artificial neural network techniqueTaewoo Kim, Woo Jin Kim, Chang-Hyun Lee, Kum Ju Chae, So Hyeon Bak, Sung Ok Kwon, Gong Yong Jin, Eun-Kee Park, Sanghun Choi. cbm, 141:105162, 2022. [doi]

2021

Assessing the speed-accuracy trade-offs of popular convolutional neural networks for single-crop rib fracture classificationRiel Castro-Zunti, Kum Ju Chae, Younhee Choi, Gong Yong Jin, Seok-Bum Ko. cmig, 91:101937, 2021. [doi]

2020

Novel convolutional neural network architecture for improved pulmonary nodule classification on computed tomographyYi Wang 0064, Hao Zhang 0041, Kum Ju Chae, Younhee Choi, Gong Yong Jin, Seok-Bum Ko. mssp, 31(3):1163-1183, 2020. [doi]

Early detection of ankylosing spondylitis using texture features and statistical machine learning, and deep learning, with some patient age analysisRiel Castro-Zunti, Eun Hae Park, Younhee Choi, Gong Yong Jin, Seok-Bum Ko. cmig, 82:101718, 2020. [doi]

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