Hyung Jin Kim (Hyungjin Kim)

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 50

Top Topics

Idiopathic Pulmonary Fibrosis

Small Cell Lung Cancer

Computed Tomography

Top Venues

Korean journal of radiology

Journal of medical Internet research

European radiology

This page only lists publications with an associated author ORCID identifier.

Publications

Hyung Jin Kim, Paul Kim, Ijin Joo, Jung Hoon Kim, Chang Min Park, Soon-Ho Yoon
ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations. Korean journal of radiology 25 (4) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology 25 (3) (2024)
Hyung Jin Kim, Paul Kim, Ijin Joo, Jung Hoon Kim, Chang Min Park, Soon-Ho Yoon
ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations. Korean journal of radiology 25 (4) (2024)
Jong Hyuk Lee, Dongheon Lee, Michael T Lu, Vineet K Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi, Hyung Jin Kim
External Testing of a Deep Learning Model to Estimate Biological Age Using Chest Radiographs. Radiology. Artificial intelligence (2024)
Kwon Joong Na, Young Tae Kim, Jin Mo Goo, Hyung Jin Kim
Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non-Small Cell Lung Cancer. Radiology 311 (1) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology (2024)
Kwon Joong Na, Young Tae Kim, Jin Mo Goo, Hyung Jin Kim
Clinical Utility of a CT-based AI Prognostic Model for Segmentectomy in Non-Small Cell Lung Cancer. Radiology 311 (1) (2024)
Hyung Jin Kim, Paul Kim, Ijin Joo, Jung Hoon Kim, Chang Min Park, Soon-Ho Yoon
ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations. Korean journal of radiology 25 (4) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology 25 (3) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology 25 (3) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology 25 (3) (2024)
Hyung Jin Kim, Paul Kim, Ijin Joo, Jung Hoon Kim, Chang Min Park, Soon-Ho Yoon
ChatGPT Vision for Radiological Interpretation: An Investigation Using Medical School Radiology Examinations. Korean journal of radiology 25 (4) (2024)
Hyung Jin Kim
Performing a Research Study Using Open-Source Deep Learning Models. Korean journal of radiology 25 (3) (2024)
Jong Hyuk Lee, Dongheon Lee, Michael T Lu, Vineet K Raghu, Jin Mo Goo, Yunhee Choi, Seung Ho Choi, Hyung Jin Kim
External Testing of a Deep Learning Model to Estimate Biologic Age Using Chest Radiographs. Radiology. Artificial intelligence 6 (5) (2024)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Correction: Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Taehee Lee, Kyung Hee Lee, Jong Hyuk Lee, Samina Park, Young Tae Kim, Jin Mo Goo, Hyung Jin Kim
Prognostication of lung adenocarcinomas using CT-based deep learning of morphological and histopathological features: a retrospective dual-institutional study. European radiology (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Ju Gang Nam, Yunhee Choi, Sang-Min Lee, Soon Ho Yoon, Jin Mo Goo, Hyung Jin Kim
Prognostic value of deep learning-based fibrosis quantification on chest CT in idiopathic pulmonary fibrosis. European radiology (2023)
Jong Hyuk Lee, Yunhee Choi, Hyunsook Hong, Young Tae Kim, Jin Mo Goo, Hyung Jin Kim
Prognostic value of CT-defined ground-glass opacity in early-stage lung adenocarcinomas: a single-center study and meta-analysis. European radiology (2023)
Woo Hyeon Lim, Kyung Hee Lee, Jong Hyuk Lee, Hyungin Park, Ju Gang Nam, Eui Jin Hwang, Jin-Haeng Chung, Jin Mo Goo, Samina Park, Young Tae Kim, Hyung Jin Kim
Diagnostic performance and prognostic value of CT-defined visceral pleural invasion in early-stage lung adenocarcinomas. European radiology (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyun Woo Lee, Hyun Jun Yang, Hyung Jin Kim, Ue-Hwan Kim, Dong Hyun Kim, Soon-Ho Yoon, Soo Youn Ham, Bo Da Nam, Kum Ju Chae, Dabee Lee, Jin-Young Yoo, So Hyeon Bak, Jin Young Kim, Jin Hwan Kim, Ki Beom Kim, Jung Im Jung, Jae-Kwang Kim, Jong Eun Lee, Myung Jin Chung, Young Kyung Lee, Young-Seon Kim, Sang Min Lee, Woocheol Kwon, Chang Min Park, Yun Hyeon Kim, Yeon-Joo Jeong, Kwang Nam Jin, Jin Mo Goo
Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study. Journal of medical Internet research 25 (2023)
Hyunsuk Yoo, Eun Young Kim, Hyung Jin Kim, Ye Ra Choi, Moon Young Kim, Sung Ho Hwang, Young Joong Kim, Young Jun Cho, Kwang Nam Jin
Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort. Korean journal of radiology 23 (10) (2022)
Jong Hyuk Lee, Dongheon Lee, Michael T Lu, Vineet K Raghu, Chang Min Park, Jin Mo Goo, Seung Ho Choi, Hyung Jin Kim
Deep Learning to Optimize Candidate Selection for Lung Cancer CT Screening: Advancing the 2021 USPSTF Recommendations. Radiology 305 (1) (2022)
Ju Gang Nam, Samina Park, Chang Min Park, Yoon Kyung Jeon, Doo Hyun Chung, Jin Mo Goo, Young Tae Kim, Hyung Jin Kim
Histopathologic Basis for a Chest CT Deep Learning Survival Prediction Model in Patients with Lung Adenocarcinoma. Radiology 305 (2) (2022)
Ju Gang Nam, Hyunsook Hong, Seung Hong Choi, Chang Min Park, Jin Mo Goo, Young Tae Kim, Hyung Jin Kim
No Prognostic Impact of Staging Brain MRI in Patients with Stage IA Non-Small Cell Lung Cancer. Radiology 303 (3) (2022)
Ju Gang Nam, Hye-Rin Kang, Sang Min Lee, Hyung Jin Kim, Chanyoung Rhee, Jin Mo Goo, Yeon-Mok Oh, Chang-Hoon Lee, Chang Min Park
Deep Learning Prediction of Survival in Patients with Chronic Obstructive Pulmonary Disease Using Chest Radiographs. Radiology 305 (1) (2022)
Hyung Jin Kim, Kwang Nam Jin, Seung-Jin Yoo, Chang Hoon Lee, Sang-Min Lee, Hyunsook Hong, Joseph Nathanael Witanto, Soon-Ho Yoon
Deep Learning for Estimating Lung Capacity on Chest Radiographs Predicts Survival in Idiopathic Pulmonary Fibrosis. Radiology (2022)
Seo Young Park, Jie Eun Park, Hyung Jin Kim, Saikanth Reddy Deepalam
Review of Statistical Methods for Evaluating the Performance of Survival or Other Time-to-Event Prediction Models (from Conventional to Deep Learning Approaches). Korean journal of radiology 22 (10) (2021)
Jong Hyuk Lee, Hyunsook Hong, Hyung Jin Kim, Chang Hyun Lee, Jin Mo Goo, Soon-Ho Yoon
CT Examinations for COVID-19: A Systematic Review of Protocols, Radiation Dose, and Numbers Needed to Diagnose and Predict. Taehan Yongsang Uihakhoe chi 82 (6) (2021)
Hye Won Choi, Hyung Jin Kim, Chang Min Park, Young Tae Kim, Jin Mo Goo
Central Tumor Location at Chest CT Is an Adverse Prognostic Factor for Disease-Free Survival of Node-Negative Early-Stage Lung Adenocarcinomas. Radiology 299 (2) (2021)
Hyung Jin Kim, Hyae Young Kim, Jin Mo Goo, Yeol Kim
Lung Cancer CT Screening and Lung-RADS in a Tuberculosis-endemic Country: The Korean Lung Cancer Screening Project (K-LUCAS). Radiology 296 (1) (2020)
Hye Won Choi, Xiaolong Qi, Soon-Ho Yoon, Sang Joon Park, Kyung Hee Lee, Jin Yong Kim, Young Kyung Lee, Hongseok Ko, Ki Hwan Kim, Chang Min Park, Yun Hyeon Kim, Junqiang Lei, Jung Hee Hong, Hyung Jin Kim, Eui Jin Hwang, Seung-Jin Yoo, Ju Gang Nam, Chang Hyun Lee, Jin Mo Goo
Extension of Coronavirus Disease 2019 on Chest CT and Implications for Chest Radiographic Interpretation. Radiology. Cardiothoracic imaging 2 (2) (2020)
Jung Hee Hong, Samina Park, Hyung Jin Kim, Jin Mo Goo, In Kyu Park, Chang Hyun Kang, Young Tae Kim, Soon-Ho Yoon
Volume and Mass Doubling Time of Lung Adenocarcinoma according to WHO Histologic Classification. Korean journal of radiology 22 (3) (2020)
Hyewon Choi, Hyung Jin Kim, Wonju Hong, Jongsoo Park, Eui Jin Hwang, Chang Min Park, Young Tae Kim, Jin Mo Goo
Prediction of visceral pleural invasion in lung cancer on CT: deep learning model achieves a radiologist-level performance with adaptive sensitivity and specificity to clinical needs. European radiology 31 (5) (2020)
Jong Hyuk Lee, Woo Hyeon Lim, Jung Hee Hong, Ju Gang Nam, Eui Jin Hwang, Hyung Jin Kim, Jin Mo Goo, Chang Min Park
Growth and Clinical Impact of 6-mm or Larger Subsolid Nodules after 5 Years of Stability at Chest CT. Radiology 295 (2) (2020)
Hyung Jin Kim
Outbreak of novel coronavirus (COVID-19): What is the role of radiologists? European radiology 30 (6) (2020)
Eui Jin Hwang, Hyung Jin Kim, Soon-Ho Yoon, Jin Mo Goo, Chang Min Park
Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19. Korean journal of radiology 21 (10) (2020)
Hyung Jin Kim, Hyunsook Hong, Soon-Ho Yoon
Diagnostic Performance of CT and Reverse Transcriptase Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology 296 (3) (2020)
Su Yeon Ahn, Chang Min Park, Soon-Ho Yoon, Hyung Jin Kim, Jin Mo Goo
Learning Curve of C-Arm Cone-beam Computed Tomography Virtual Navigation-Guided Percutaneous Transthoracic Needle Biopsy. Korean journal of radiology 20 (5) (2020)
Soon-Ho Yoon, Sang Min Lee, Chul Hwan Park, Jong Hyuk Lee, Hyung Jin Kim, Kum Ju Chae, Kwang Nam Jin, Kyung Hee Lee, Jung Im Kim, Jung Hee Hong, Eui Jin Hwang, Hee Kyung Kim, Young Joo Suh, Samina Park, Young Sik Park, Dong Wan Kim, Miyoung Choi, Chang Min Park
2020 Clinical Practice Guideline for Percutaneous Transthoracic Needle Biopsy of Pulmonary Lesions: A Consensus Statement and Recommendations of the Korean Society of Thoracic Radiology. Korean journal of radiology 22 (2) (2020)
Jong Hyuk Lee, Hye Young Sun, Sunggyun Park, Hyung Jin Kim, Eui Jin Hwang, Jin Mo Goo, Chang Min Park
Performance of a Deep Learning Algorithm Compared with Radiologic Interpretation for Lung Cancer Detection on Chest Radiographs in a Health Screening Population. Radiology 297 (3) (2020)
Hyung Jin Kim, Jin Mo Goo, Kyung Hee Lee, Young Tae Kim, Chang Min Park
Preoperative CT-based Deep Learning Model for Predicting Disease-Free Survival in Patients with Lung Adenocarcinomas. Radiology 296 (1) (2020)
Sang Hyup Lee, Soon-Ho Yoon, Ju Gang Nam, Hyung Jin Kim, Su Yeon Ahn, Hee Kyung Kim, Hyun Ju Lee, Hwan Hee Lee, Gi Jeong Cheon, Jin Mo Goo
Distinguishing between Thymic Epithelial Tumors and Benign Cysts via Computed Tomography. Korean journal of radiology 20 (4) (2020)
Hyung Jin Kim, Jin Mo Goo, Young Tae Kim, Chang Min Park
CT-defined Visceral Pleural Invasion in T1 Lung Adenocarcinoma: Lack of Relationship to Disease-Free Survival. Radiology 292 (3) (2019)
Hyung Jin Kim, Jin Mo Goo, Young Tae Kim, Chang Min Park
Clinical T Category of Non-Small Cell Lung Cancers: Prognostic Performance of Unidimensional versus Bidimensional Measurements at CT. Radiology 290 (3) (2019)