Ye Ra Choi

549 total citations
23 papers, 374 citations indexed

About

Ye Ra Choi is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Ye Ra Choi has authored 23 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 9 papers in Pulmonary and Respiratory Medicine and 5 papers in Epidemiology. Recurrent topics in Ye Ra Choi's work include Lung Cancer Diagnosis and Treatment (8 papers), COVID-19 diagnosis using AI (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ye Ra Choi is often cited by papers focused on Lung Cancer Diagnosis and Treatment (8 papers), COVID-19 diagnosis using AI (7 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Ye Ra Choi collaborates with scholars based in South Korea, Ethiopia and United States. Ye Ra Choi's co-authors include Joon Koo Han, Byung Ihn Choi, Jin Mo Goo, Soon Ho Yoon, Kwang Nam Jin, Jeong Hee Yoon, Jeong Min Lee, Junghoan Park, Pierre Decazes and Namki Hong and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and American Journal of Roentgenology.

In The Last Decade

Ye Ra Choi

23 papers receiving 370 citations

Peers

Countries citing papers authored by Ye Ra Choi

Since Specialization

Citations

This map shows the geographic impact of Ye Ra Choi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ye Ra Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Ra Choi more than expected).

Fields of papers citing papers by Ye Ra Choi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ye Ra Choi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ye Ra Choi. The network helps show where Ye Ra Choi may publish in the future.

Co-authorship network of co-authors of Ye Ra Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Ye Ra Choi. A scholar is included among the top collaborators of Ye Ra Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ye Ra Choi. Ye Ra Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	CT analysis of thoracolumbar body composition for estimating whole-body composition 2023 ·Insights into Imaging ·Jung Hee Hong, Hyunsook Hong, Ye Ra Choi, Dong Hyun Kim, Jin Young Kim, (unknown), Soon Ho Yoon	19
2	Chest Radiography of Tuberculosis: Determination of Activity Using Deep Learning Algorithm 2023 ·Tuberculosis & respiratory diseases ·Ye Ra Choi, Soon Ho Yoon, Jihang Kim, Jin Young Yoo, Hwiyoung Kim, Kwang Nam Jin	7
3	Localization-adjusted diagnostic performance and assistance effect of a computer-aided detection system for pneumothorax and consolidation 2022 ·npj Digital Medicine ·(unknown), (unknown), (unknown), (unknown), Hyunju Choi, (unknown), Ye Ra Choi, I Hoseok, Yeon Joo Jeong, (unknown), (unknown), (unknown), Hyun Jung Koo, Choong Wook Lee, Min Jae Kim, Yeon Joo Kim, Kyung Won Kim, (unknown)	7
4	Deep Learning Achieves Neuroradiologist-Level Performance in Detecting Hydrocephalus Requiring Treatment 2022 ·Journal of Digital Imaging ·Yu Huang, (unknown), Rachna Malani, (unknown), Nathaniel Swinburne, Andrei I. Holodny, Ye Ra Choi, Henry Rusinek, James Golomb, Ajax E. George, Lucas C. Parra, Robert J. Young	6
5	Treatment Response and Clinical Outcomes of Well-Differentiated High-Grade Neuroendocrine Tumors to Lutetium-177-DOTATATE 2022 ·Neuroendocrinology ·Nitya Raj, (unknown), (unknown), Richard Kinh Gian, (unknown), Ye Ra Choi, Joanne F. Chou, Marinela Capanu, Mark Dunphy, Josef J. Fox, Ravinder K. Grewal, (unknown), Christopher C. Riedl, Heiko Schöder, Lisa Bodei, Diane Reidy‐Lagunes	11
6	Artificial Intelligence-Based Identification of Normal Chest Radiographs: A Simulation Study in a Multicenter Health Screening Cohort 2022 ·Korean Journal of Radiology ·(unknown), Eun Young Kim, Hyungjin Kim, Ye Ra Choi, Moon Young Kim, Sung Ho Hwang, Young Joong Kim, Young Jun Cho, Kwang Nam Jin	11
7	Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort 2021 ·PLoS ONE ·Eun Young Kim, Young Jae Kim, Won-Jun Choi, (unknown), Ye Ra Choi, Kwang Nam Jin, Young Jun Cho	16
8	Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment 2021 ·Clinical Nutrition ·(unknown), Namki Hong, (unknown), Ye Ra Choi, Junghoan Park, Pierre Decazes, (unknown), Chang Oh Kim, Hyeon Chang Kim, Jin Mo Goo, Yumie Rhee, Soon Ho Yoon	79
9	Treatment response and clinical outcomes of well-differentiated high-grade neuroendocrine tumors to 177Lu-DOTATATE. 2021 ·Journal of Clinical Oncology ·(unknown), Lisa Bodei, (unknown), Ye Ra Choi, Joanne F. Chou, Marinela Capanu, Mark Dunphy, Josef J. Fox, Ravinder K. Grewal, (unknown), Christopher C. Riedl, Heiko Schöder, Diane Reidy‐Lagunes, Nitya Raj	1
10	Correction: Performance of a deep-learning algorithm for referable thoracic abnormalities on chest radiographs: A multicenter study of a health screening cohort 2021 ·PLoS ONE ·Eun Young Kim, Young Jae Kim, (unknown), (unknown), Ye Ra Choi, Kwang Nam Jin, Young Jun Cho	2
11	Evaluation of a deep learning-based computer-aided detection algorithm on chest radiographs 2021 ·Medicine ·(unknown), Sunggyun Park, Minchul Kim, Jongchan Park, Ye Ra Choi, Kwang Nam Jin	15
12	Incidence Lung Cancer after a Negative CT Screening in the National Lung Screening Trial: Deep Learning-Based Detection of Missed Lung Cancers 2020 ·Journal of Clinical Medicine ·Jungheum Cho, Jihang Kim, Kyong Joon Lee, (unknown), Sung Hyun Yoon, (unknown), Junghoon Kim, Ye Ra Choi, Kyung Hee Lee, Kyung Won Lee	6
13	Growth of thymic epithelial tumors and thymic cysts: Differential radiological points 2019 ·Thoracic Cancer ·Hyungjin Kim, Soon Ho Yoon, Jihang Kim, Kyung Won Lee, Ye Ra Choi, (unknown), Jin Mo Goo	7
14	Acute invasive fungal rhinosinusitis: MR imaging features and their impact on prognosis 2018 ·Neuroradiology ·Ye Ra Choi, Ji‐hoon Kim, Hye Sook Min, Jae‐Kyung Won, Hyun Jik Kim, Roh‐Eul Yoo, Koung Mi Kang, Sun‐Won Park, Tae Jin Yun, Seung Hong Choi, Chul‐Ho Sohn, (unknown), Soo Chin Kim, (unknown), Dong Gyu Na	30
15	Diagnostic accuracy of contrast-enhanced dynamic CT for small hypervascular hepatocellular carcinoma and assessment of dynamic enhancement patterns: Results of two-year follow-up using cone-beam CT hepatic arteriography 2018 ·PLoS ONE ·Ye Ra Choi, Jin Wook Chung, Mi Hye Yu, Myungsu Lee, Jung Hoon Kim	10
16	Therapeutic response assessment using 3D ultrasound for hepatic metastasis from colorectal cancer: Application of a personalized, 3D-printed tumor model using CT images 2017 ·PLoS ONE ·Ye Ra Choi, Jung Hoon Kim, Sang Joon Park, Bo Yun Hur, Joon Koo Han	9
17	Association between Image Characteristics on Chest CT and Severe Pleural Adhesion during Lung Cancer Surgery 2016 ·PLoS ONE ·Kwang Nam Jin, (unknown), Se Jin Oh, Ye Ra Choi, (unknown), Jae Sung Choi, (unknown)	15
18	Measurement Variability of Persistent Pulmonary Subsolid Nodules on Same-Day Repeat CT: What Is the Threshold to Determine True Nodule Growth during Follow-Up? 2016 ·PLoS ONE ·Hyungjin Kim, Chang Min Park, Yong Sub Song, Leonard Sunwoo, Ye Ra Choi, Jung Im Kim, Jae Hyun Kim, Jae Seok Bae, Jong Hyuk Lee, Jin Mo Goo	21
19	Comparison of Magnetic Resonance Elastography and Gadoxetate Disodium–Enhanced Magnetic Resonance Imaging for the Evaluation of Hepatic Fibrosis 2013 ·Investigative Radiology ·Ye Ra Choi, Jeong Min Lee, Jeong Hee Yoon, Joon Koo Han, Byung Ihn Choi	42
20	Differentiation of large (≥5cm) gastrointestinal stromal tumors from benign subepithelial tumors in the stomach: Radiologists’ performance using CT 2013 ·European Journal of Radiology ·Ye Ra Choi, Se Hyung Kim, Sun Ah Kim, Cheong‐Il Shin, Hyung Jin Kim, Seong Ho Kim, Joon Koo Han, Byung Ihn Choi	50

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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