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Showing results 1 to 12 of 12

Issue Date	Title / Author(s) / Citation	File	Altmetrics
1993	인도의 식민지화와 독립 후 사회경제 구조변화 박종수; 김용환; 백좌흠; 이상진 지역연구, Vol.02 No.4, pp. 197-267	view file
2014	Navigating the Maze of Graph Analytics Frameworks using Massive Graph Datasets Satish, Nadathur; Sundaram, Narayanan; Patwary, Md Mostofa Ali; Seo, Jiwon; Park, Jongsoo; Hassaan, M. Amber; Sengupta, Shubho; Yin, Zhaoming; Dubey, Pradeep SIGMOD'14: PROCEEDINGS OF THE 2014 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA, pp.979-990	DOI
2021-05	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 Choi, Hyewon; Kim, Hyungjin; Hong, Wonju; Park, Jongsoo; Hwang, Eui Jin; Park, Chang Min; Kim, Young Tae; Goo, Jin Mo European Radiology, Vol.31 No.5, pp.2866-2876	DOI
2021-07	Image quality of ultralow-dose chest CT using deep learning techniques: potential superiority of vendor-agnostic post-processing over vendor-specific techniques Nam, Ju Gang; Ahn, Chulkyun; Choi, Hyewon; Hong, Wonju; Park, Jongsoo; Kim, Jong Hyo; Goo, Jin Mo European Radiology, Vol.31 No.7, pp.5139-5147	DOI
2022-01	Value of a deep learning-based algorithm for detecting Lung-RADS category 4 nodules on chest radiographs in a health checkup population: estimation of the sample size for a randomized controlled trial Nam, Ju Gang; Kim, Hyun Jin; Lee, Eun Hee; Hong, Wonju; Park, Jongsoo; Hwang, Eui Jin; Park, Chang Min; Goo, Jin Mo European Radiology, Vol.32 No.1, pp.213-222	DOI
2022-05	Deep Learning for Detecting Pneumothorax on Chest Radiographs after Needle Biopsy: Clinical Implementation Hong, Wonju; Hwang, Eui Jin; Lee, Jong Hyuk; Park, Jongsoo; Goo, Jin Mo; Park, Chang Min Radiology, Vol.303 No.2, pp.433-441	DOI
2022-07	Artificial intelligence system for identification of false-negative interpretations in chest radiographs Hwang, Eui Jin; Park, Jongsoo; Hong, Wonju; Lee, Hyun-Ju; Choi, Hyewon; Kim, Hyungjin; Nam, Ju Gang; Goo, Jin Mo; Yoon, Soon Ho; Lee, Chang Hyun; Park, Chang Min European Radiology, Vol.32 No.7, pp.4468-4478	DOI
2023-05	Identification of Active Pulmonary Tuberculosis Among Patients With Positive Interferon-Gamma Release Assay Results Value of a Deep Learning-based Computer-aided Detection System in Different Scenarios of Implementation Park, Jongsoo; Hwang, Eui Jin; Lee, Jong Hyuk; Hong, Wonju; Nam, Ju Gang; Lim, Woo Hyeon; Kim, Jae Hyun; Goo, Jin Mo; Park, Chang Min Journal of Thoracic Imaging, Vol.38 No.3, pp.145-153	DOI
2023-09	The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs Kim, Donguk; Lee, Jong Hyuk; Jang, Myoung-Jin; Park, Jongsoo; Hong, Wonju; Lee, Chan Su; Yang, Si Yeong; Park, Chang Min Bioengineering (Basel), Vol.10 No.9, p. 1077	DOI
2023-09	75% radiation dose reduction using deep learning reconstruction on low-dose chest CT Jo, Gyeong Deok; Ahn, Chulkyun; Hong, Jung Hee; Kim, Da Som; Park, Jongsoo; Kim, Hyungjin; Kim, Jong Hyo; Goo, Jin Mo; Nam, Ju Gang BMC Medical Imaging, Vol.23(1):121	view file DOI
2024-02	Usual Interstitial Pneumonia: Associations With Complications After Percutaneous Transthoracic Needle Lung Biopsy Park, Jongsoo; Lee, Jong Hyuk; Hong, Wonju; Hwang, Eui Jin; Yoon, Soon Ho; Goo, Jin Mo; Park, Chang Min American Journal of Roentgenology, Vol.222 No.2, p. 2329938	DOI
2024-02	Sixty-four-fold data reduction of chest radiographs using a super-resolution convolutional neural network Nam, Ju Gang; Kang, Seung Kwan; Choi, Hyewon; Hong, Wonju; Park, Jongsoo; Goo, Jin Mo; Lee, Jae Sung; Park, Chang Min British Journal of Radiology, Vol.97 No.1155, pp.632-639	DOI

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