Digital Library
Search: "[ author: Kim Ji-Eon ]" (3)
Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia
Lee Chung-Sub, Lim Dong-Wook, Kim Ji-Eon, Noh Si-Hyeong, Yu Yeong-Ju, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 7, pp. 233-240,
Jul.
2022
https://doi.org/10.3745/KTCCS.2022.11.7.233
Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia
https://doi.org/10.3745/KTCCS.2022.11.7.233
Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia
Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning
Noh Si-Hyeong, Kim Ji-Eon, Lee Chungsub, Kim Tae-Hoon, Kim KyungWon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 10, No. 10, pp. 285-290,
Oct.
2021
https://doi.org/10.3745/KTCCS.2021.10.10.285
Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning
https://doi.org/10.3745/KTCCS.2021.10.10.285
Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning
Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
Lee Chung-Sub, Kim Ji-Eon, No Si-Hyeong, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 239-246,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning
https://doi.org/10.3745/KTCCS.2020.9.10.239
Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
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Vol. 11, 2022
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
