삼성서울병원

Ko En

영상의학과 정명진 교수

진료분야
흉부영상의학, 폐의진단적영상상이상소견, 폐결핵, 컴퓨터단층촬영, 폐암
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진료일정 06 月
날짜
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학력

학력
2003.02 서울대학교 대학원 의학 박사
1997.02 서울대학교 대학원 의학 석사
1992.02 서울대학교 의학 학사

경력

경력
2019.04 ~현재 삼성서울병원 AI 연구센터장
2013.04 ~현재 성균관대학교 의과대학 삼성서울병원 영상의학과 교수
2014.02 ~ 2015.02 성균관대학교 의과대학 기획실장
2013.07 ~ 2014.06 듀크대학 엔씨 미국연수
2012.02 ~ 2014.01 성균과대학교 의과대학 학생부학장보
2007.04 ~ 2013.03 성균관대학교 의과대학 삼성서울병원 영상의학과 부교수
2004.04 ~ 2007.03 성균관대학교 의과대학 삼성서울병원 영상의학과 조교수
2003.05 ~ 2004.03 삼성서울병원 영상의학과 임상조교수
2001.03 ~ 2003.03 을지의과대학 노원을지병원 진단방사선과 전임강사
2000.05 ~ 2001.02 서울대학교병원 진단방사선과 전임의 (흉부방사선전공)
1997.04 ~ 2000.04 공중보건의(대한결핵협회 경기도 결핵관리의)
1993.03 ~ 1997.02 서울대학교병원 진단방사선과 전공의
1992.03 ~ 1993.02 서울대학교병원 수련의
  • EXPERT SYST APPL 2024 10.1016/j.eswa.2023.121165 3D unsupervised anomaly detection through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomography Kim, K; Oh, SJ; Lee, JH; Chung, MJ
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  • SCI REP-UK 2024 10.1038/s41598-024-51612-8 Enhancing foveal avascular zone analysis for Alzheimer's diagnosis with AI segmentation and machine learning using multiple radiomic features Yoon, JM; Lim, CY; Noh, H; Nam, SW; Jun, SY; Kim, MJ; Song, MY; Jang, H; Kim, HJ; Seo, SW; Na, DL; Chung, MJ; Ham, DI; Kim, K
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  • ALLERGY ASTHMA IMMUN 2024 10.4168/aair.2024.16.1.6 Considerations for Developing Diagnostic Artificial Intelligence: Towards Real-World Application of an Asthma Detection Model Kim, T; Chung, MJ
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  • J MED INTERNET RES 2024 10.2196/52134 Development and Validation of a Robust and Interpretable Early Triaging Support System for Patients Hospitalized With COVID-19: Predictive Algorithm Modeling and Interpretation Study Baek, S; Jeong, YJ; Kim, YH; Kim, JY; Kim, JH; Kim, EY; Lim, JK; Kim, J; Kim, Z; Kim, K; Chung, MJ
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  • FRONT IMMUNOL 2023 10.3389/fimmu.2023.1278247 Artificial intelligence for the detection of sacroiliitis on magnetic resonance imaging in patients with axial spondyloarthritis Lee, S; Jeon, U; Lee, JH; Kang, S; Kim, H; Lee, J; Chung, MJ; Cha, HS
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  • J THORAC DIS 2023 10.21037/jtd-23-861 CT evaluation of systemic artery to pulmonary artery fistula: an underdiagnosed disease in patients with hemoptysis Woo, JH; Cha, YK; Lee, SY; Kim, JH; Kim, JG; Son, Y; Chung, MJ
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  • CANCERS 2023 10.3390/cancers15215145 Deep Learning-Based Early Warning Score for Predicting Clinical Deterioration in General Ward Cancer Patients Ko, RE; Kim, Z; Jeon, B; Ji, M; Chung, CR; Suh, GY; Chung, MJ; Cho, BH
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  • THER ADV RESPIR DIS 2023 10.1177/17534666231212304 Clinical characteristics and outcomes of hypersensitivity pneumonitis in South Korea Zo, S; Chung, MP; Yoo, HY; Lee, KS; Han, J; Chung, MJ; Yoo, H
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  • COMPUT METH PROG BIO 2023 10.1016/j.cmpb.2023.107708 Enhanced artificial intelligence-based diagnosis using CBCT with internal denoising: Clinical validation for discrimination of fungal ball, sinusitis, and normal cases in the maxillary sinus Kim, K; Lim, CY; Shin, J; Chung, MJ; Jung, YG
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  • ARTIF INTELL MED 2023 10.1016/j.artmed.2023.102643 Automated precision localization of peripherally inserted central catheter tip through model-agnostic multi-stage networks Park, S; Cha, YK; Park, S; Chung, MJ; Kim, K
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  • DIAGNOSTICS 2023 10.3390/diagnostics13182953 Application of Machine Learning Algorithm in Predicting Axillary Lymph Node Metastasis from Breast Cancer on Preoperative Chest CT Park, S; Kim, JH; Cha, YK; Chung, MJ; Woo, JH; Park, S
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  • PLOS ONE 2023 10.1371/journal.pone.0291745 The impact of deep learning reconstruction in low dose computed tomography on the evaluation of interstitial lung disease Kim, CH; Chung, MJ; Cha, YK; Oh, S; Kim, KG; Yoo, H
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  • JMIR PUBLIC HLTH SUR 2023 10.2196/45212 Prediction Model for Postoperative Quality of Life Among Breast Cancer Survivors Along the Survivorship Trajectory From Pretreatment to 5 Years: Machine Learning-Based Analysis Kang, D; Kim, H; Cho, J; Kim, Z; Chung, M; Lee, JE; Nam, SJ; Kim, SW; Yu, J; Chae, BJ; Ryu, JM; Lee, SK
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  • SCI REP-UK 2023 10.1038/s41598-023-40506-w Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias Park, D; Jang, R; Chung, MJ; An, HJ; Bak, S; Choi, E; Hwang, D
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  • J THORAC DIS 2023 10.21037/jtd-23-733 Placental transmogrification of the lung: CT findings with pathologic correlation in six patients Shin, SH; Cha, YK; Kim, JH; Woo, JH; Kim, TJ; Chung, MJ; Han, J; Lim, YJ
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  • NAT COMMUN 2023 10.1038/s41467-023-40925-3 Drug classification with a spectral barcode obtained with a smartphone Raman spectrometer Kim, UJ; Lee, S; Kim, H; Roh, Y; Han, S; Kim, H; Park, Y; Kim, S; Chung, MJ; Son, H; Choo, H
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  • RADIOLOGY 2023 10.1148/radiol.230653 Comparison of Clinical Outcomes and Imaging Features in Hospitalized Patients with SARS-CoV-2 Omicron Subvariants Lee, JE; Hwang, M; Kim, YH; Chung, MJ; Jeong, WG; Sim, BH; Jeong, YJ
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  • SCI REP-UK 2023 10.1038/s41598-023-37620-0 Automatic stridor detection using small training set via patch-wise few-shot learning for diagnosis of multiple system atrophy Ahn, JH; Lee, JH; Lim, CY; Joo, EY; Youn, J; Chung, MJ; Cho, JW; Kim, K
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  • CANCERS 2023 10.3390/cancers15143540 Detection of Cancer Recurrence Using Systemic Inflammatory Markers and Machine Learning after Concurrent Chemoradiotherapy for Head and Neck Cancers So, YK; Kim, Z; Cheong, TY; Chung, MJ; Baek, CH; Son, YI; Seok, J; Jung, YS; Ahn, MJ; Ahn, YC; Oh, D; Cho, BH; Chung, MK
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  • COMPUT METH PROG BIO 2023 10.1016/j.cmpb.2023.107643 AI-base d computer-aide d diagnostic system of chest digital tomography synthesis: Demonstrating comparative advantage with X-ray-based AI systems Kim, K; Lee, JH; Oh, SJ; Chung, MJ
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  • SCI REP-UK 2023 10.1038/s41598-023-35627-1 The use of artificial intelligence models to predict survival in patients with laryngeal squamous cell carcinoma Choi, N; Kim, J; Yi, HJ; Kim, H; Kim, TH; Chung, MJ; Ji, MGY; Kim, Z; Son, YI
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  • DIAGNOSTICS 2023 10.3390/diagnostics13122060 Estimating the Volume of Nodules and Masses on Serial Chest Radiography Using a Deep-Learning-Based Automatic Detection Algorithm: A Preliminary Study Lim, CY; Cha, YK; Chung, MJ; Park, S; Park, S; Woo, JH; Kim, JH
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  • DIAGNOSTICS 2023 10.3390/diagnostics13091522 Missed and Detected Incidental Breast Cancers on Contrast Enhanced Chest CT: Detection Rates and CT Features Park, J; Kim, C; Cha, YK; Chung, MJ
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  • RADIOLOGY 2023 10.1148/radiol.221795 SARS-CoV-2 Variants Infection in Relationship to Imaging-based Pneumonia and Clinical Outcomes Lee, JE; Hwang, M; Kim, YH; Chung, MJ; Sim, BH; Jeong, WG; Jeong, YJ
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  • J MED INTERNET RES 2023 10.2196/42717 Deep Learning With Chest Radiographs for Making Prognoses in Patients With COVID-19: Retrospective Cohort Study Lee, HW; Yang, HJ; Kim, H; Kim, UH; Kim, DH; Yoon, SH; Ham, SY; Nam, BD; Chae, KJ; Lee, D; Yoo, JY; Bak, SH; Kim, JY; Kim, JH; Kim, KB; Jung, JI; Lim, JK; Lee, JE; Chung, MJ; Lee, YK; Kim, YS; Lee, SM; Kwon, W; Park, CM; Kim, YH; Jeong, YJ; Jin, KN; Goo, JM
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  • EAR HEARING 2022 10.1097/AUD.0000000000001217 Automatic Prediction of Conductive Hearing Loss Using Video Pneumatic Otoscopy and Deep Learning Algorithm Byun, H; Park, CJ; Oh, SJ; Chung, MJ; Cho, BH; Cho, YS
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  • SENSORS-BASEL 2022 10.3390/s22135007 Development and Validation of a Multimodal-Based Prognosis and Intervention Prediction Model for COVID-19 Patients in a Multicenter Cohort Lee, JH; Ahn, JS; Chung, MJ; Jeong, YJ; Kim, JH; Lim, JK; Kim, JY; Kim, YJ; Lee, JE; Kim, EY
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  • RADIOLOGY 2022 10.1148/radiol.213072 Imaging and Clinical Features of COVID-19 Breakthrough Infections: A Multicenter Study Lee, JE; Hwang, M; Kim, YH; Chung, MJ; Sim, BH; Chae, KJ; Yoo, JY; Jeong, YJ
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  • THORAX 2022 10.1136/thoraxjnl-2021-218055 Impact of interstitial lung abnormalities on postoperative pulmonary complications and survival of lung cancer Im, Y; Chung, MP; Lee, KS; Han, J; Chung, MJ; Kim, HK; Cho, JH; Choi, YS; Park, S; Kim, HJ; Kwon, OJ; Park, B; Yoo, H
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  • PLOS ONE 2022 10.1371/journal.pone.0268337 Detection and differentiation of ataxic and hypokinetic dysarthria in cerebellar ataxia and parkinsonian disorders via wave splitting and integrating neural networks Song, J; Lee, JH; Choi, J; Suh, MK; Chung, MJ; Kim, YH; Park, J; Choo, SH; Son, JH; Lee, DY; Ahn, JH; Youn, J; Kim, KS; Cho, JW
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  • MEDICINE 2022 10.1097/MD.0000000000029197 CT findings of basaloid squamous cell carcinoma of the lung in 12 patients A distinct category of squamous cell carcinoma in 2015 WHO classification of lung tumors Kim, CH; Cha, YK; Han, J; Kim, JH; Kim, TJ; Chung, MJ; Lee, JH; Yoon, HJ
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  • THER ADV RESPIR DIS 2022 10.1177/17534666221089468 Clinical characteristics and prognostic factors of fibrotic nonspecific interstitial pneumonia Cho, HK; Chung, MP; Lee, KS; Chung, MJ; Han, J; Kwon, OJ; Yoo, H
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  • PARKINSONISM RELAT D 2022 10.1016/j.parkreldis.2022.04.003 Differential diagnosis between Parkinson's disease and atypical parkinsonism based on gait and postural instability: Artificial intelligence using an enhanced weight voting ensemble model Song, J; Kim, J; Lee, MJ; Ahn, JH; Lee, DY; Youn, J; Chung, MJ; Kim, Z; Cho, JW
    View PubMed
  • PLOS ONE 2022 10.1371/journal.pone.0263125 Detection of maxillary sinus fungal ball via 3-D CNN-based artificial intelligence: Fully automated system and clinical validation Kim, KS; Kim, BK; Chung, MJ; Cho, HB; Cho, BH; Jung, YG
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  • J THORAC DIS 2022 10.21037/jtd-21-1694 Incidence and risk factors for sternal osteomyelitis after median sternotomy Cha, YK; Choi, MS; Bak, SH; Kim, JS; Kim, CH; Chung, MJ
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  • PLOS ONE 2022 10.1371/journal.pone.0264140 Artificial intelligence-based classification of bone tumors in the proximal femur on plain radiographs: System development and validation Park, CW; Oh, SJ; Kim, KS; Jang, MC; Kim, IS; Lee, YK; Chung, MJ; Cho, BH; Seo, SW
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  • IEEE ACCESS 2021 10.1109/ACCESS.2021.3136263 One-Class Classifier for Chest X-Ray Anomaly Detection via Contrastive Patch-Based Percentile Kim, KS; Oh, SJ; Cho, HB; Chung, MJ
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  • KOREAN J RADIOL 2021 10.3348/kjr.2021.0544 Use of Artificial Intelligence-Based Software as Medical Devices for Chest Radiography: A Position Paper from the Korean Society of Thoracic Radiology Hwang, EJ; Goo, JM; Yoon, SH; Beck, KS; Seo, JB; Choi, BW; Chung, MJ; Park, CM; Jin, KN; Lee, SM
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  • J THORAC DIS 2021 10.21037/jtd-21-1032 Diagnostic performance of digital tomosynthesis to evaluate silicone airway stents and related complications Kim, BG; Chung, MJ; Jeong, BH; Kim, H
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  • SCI REP-UK 2021 10.1038/s41598-021-98408-8 Multimodal deep learning models for the prediction of pathologic response to neoadjuvant chemotherapy in breast cancer Joo, S; Ko, ES; Kwon, S; Jeon, E; Jung, H; Kim, JY; Chung, MJ; Im, YH
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  • J MED INTERNET RES 2021 10.2196/29678 A Fully Automated Analytic System for Measuring Endolymphatic Hydrops Ratios in Patients With Meniere Disease via Magnetic Resonance Imaging: Deep Learning Model Development Study Park, CJ; Cho, YS; Chung, MJ; Kim, YK; Kim, HJ; Kim, K; Ko, JW; Chung, WH; Cho, BH
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  • COMPUT METH PROG BIO 2021 10.1016/j.cmpb.2020.105819 Automatic stenosis recognition from coronary angiography using convolutional neural networks Moon1, JH; Lee, DY; Cha, WC; Chung, MJ; Lee, KS; Cho, BH; Choi, JH
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  • J KOREAN MED SCI 2020 10.3346/jkms.2020.35.e413 Establishment of a Nationwide Korean Imaging Cohort of Coronavirus Disease 2019 Yoon1, SH; Ham, SY; Nam, BD; Chae, KJ; Lee, D; Yoo, JY; Bak, SH; Kim, JY; Kim, JH; Kim, KB; Jung, JI; Lim, JK; Lee, JE; Chung, MJ; Lee, YK; Kim, YS; Jo, JE; Lee, SM; Kwon, W; Park, CM; Kim, YH; Jeong, YJ
    View PubMed
  • BMC OPHTHALMOL 2020 10.1186/s12886-020-01657-w Computer-aided recognition of myopic tilted optic disc using deep learning algorithms in fundus photography Cho1, BH; Lee, Y; Park, KA; Oh, SY; Moon, JH; Lee, GI; Noh, H; Chung, JK; Kang, MC; Chung, MJ
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  • WORLD J GASTROENTERO 2020 10.3748/wjg.v26.i30.4453 Risk prediction platform for pancreatic fistula after pancreatoduodenectomy using artificial intelligence Han1, IW; Cho, K; Ryu, Y; Shin, SH; Heo, JS; Choi, DW; Chung, MJ; Kwon, OC; Cho, BH
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  • BRIT J RADIOL 2020 10.1259/bjr.20200515 Imaging findings in coronavirus infections SARS-CoV, MERS-CoV, and SARS-CoV-2 Franquet1, T; Jeong, YJ; Lam, HYS; Wong, HYF; Chang, YC; Chung, MJ; Lee, KS
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  • RADIOLOGY 2020 10.1148/radiol.2019182465 Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs Sim1, Y; Chung, MJ; Kotter, E; Yune, S; Kim, M; Do, S; Han, K; Kim, H; Yang, S; Lee, DJ; Choi, BW
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  • Expert Rev Respir Med 2019 10.1080/17476348.2020.1697853 Management of incidental pulmonary nodules: current strategies and future perspectives Kim1, TJ; Kim, CH; Lee, HY; Chung, MJ; Shin, SH; Lee, KJ; Lee, KS
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  • MEDICINE 2019 10.1097/MD.0000000000016826 Computed tomographic findings of macrolide-resistant Mycobacterium massiliense pulmonary disease and changes after antibiotic treatment Yoon1, HJ; Chung, MJ; Koh, WJ; Jhun, BW; Moon, SM
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  • BMC PULMONARY MEDICINE 2019 10.1186/s12890-019-0905-8 Risk factors and clinical characteristics of lung cancer in idiopathic pulmonary fibrosis: a retrospective cohort study Yoo1, H; Jeong, BH; Chung, MJ; Lee, KS; Kwon, OJ; Chung, MP
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  • RESP MED 2019 10.1016/j.rmed.2019.03.014 Long-term natural history of non-cavitary nodular bronchiectatic nontuberculous mycobacterial pulmonary disease Moon1, SM; Jhun, BW; Baek, SY; Kim, S; Jeon, K; Ko, RE; Shin, SH; Lee, H; Kwon, OJ; Huh, HJ; Ki, CS; Lee, NY; Chung, MJ; Lee, KS; Shin, SJ; Daley, CL; Koh, WJ
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  • CLIN LUNG CANCER 2019 10.1016/j.cllc.2018.12.021 Transthoracic Rebiopsy for Mutation Analysis in Lung Adenocarcinoma: Outcomes and Risk Factors for the Acquisition of Nondiagnostic Specimens in 199 Patients Da Nam1, B; Kim, TJ; Park, K; Ahn, MJ; Choi, YL; Chung, MJ; Kim, TS; Lee, KS
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  • AM J ROENTGENOL 2019 10.2214/AJR.18.20519 Resected Pure Small Cell Lung Carcinomas and Combined Small Cell Lung Carcinomas: Histopathology Features, Imaging Features, and Prognoses Woo1, JH; Kim, MY; Lee, KS; Jeong, DY; Chung, MJ; Hang, J; Shim, YM
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  • KOREAN J RADIOL 2019 10.3348/kjr.2018.0409 Solitary Nodular Invasive Mucinous Adenocarcinoma of the Lung: Imaging Diagnosis Using the Morphologic-Metabolic Dissociation Sign Cha1, MJ; Lee, KS; Kim, TJ; Kim, HS; Kim, TS; Chung, MJ; Kim, BT; Kim, YS
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  • J THORAC IMAG 2019 10.1097/RTI.0000000000000388 Performance of Deep Learning Model in Detecting Operable Lung Cancer With Chest Radiographs Cha1, MJ; Chung, MJ; Lee, JH; Lee, KS
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  • RADIOLOGY 2018 10.1148/radiol.2018180431 Lung Adenocarcinoma: CT Features Associated with Spread through Air Spaces Kim1, SK; Kim, TJ; Chung, MJ; Kim, TS; Lee, KS; Zo, JI; Shim, YM
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  • J CLIN MED 2018 10.3390/jcm7120559 F-18-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessing Treatment Response of Pulmonary Multidrug-Resistant Tuberculosis Choi1, JY; Jhun, BW; Hyun, SH; Chung, MJ; Koh, WJ
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  • Journal of thoracic disease 2018 10.21037/jtd.2018.09.86 CT findings in pulmonary alveolar proteinosis: serial changes and prognostic implications Nam1, BD; Kim, TJ; Chung, MP; Chung, MJ; Kim, TS; Lee, KS
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  • EUR J RADIOL 2018 10.1016/j.ejrad.2018.09.008 Clinical implication of radiographic scores in acute Middle East respiratory syndrome coronavirus pneumonia: Report from a single tertiary-referral center of South Korea Cha1, MJ; Chung, MJ; Kim, K; Lee, KS; Kim, TJ; Kim, TS
    View PubMed
  • Cancer Med 2018 10.1002/cam4.1617 Surgically resected T1-and T2-stage esophageal squamous cell carcinoma: T and N staging performance of EUS and PET/CT Jeong1, DY; Kim, MY; Lee, KS; Choi, JY; Kim, SJ; Chung, MJ; Min, YW; Kim, HK; Zo, JI; Shim, YM; Sun, JM
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  • RADIOLOGY 2018 10.1148/radiol.2018180144 Limitations of Detecting Small Solid Lung Nodules by Using Digital Chest Tomosynthesis Lee1, KS; Chung, MJ
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  • Quant Imaging Med Surg 2018 10.21037/qims.2018.03.06 Radiological signs associated with pulmonary multi-drug resistant tuberculosis: an analysis of published evidences Wang1, YXJ; Chung, MJ; Skrahin, A; Rosenthal, A; Gabrielian, A; Tartakovsky, M
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  • EUR RADIOL 2018 10.1007/s00330-017-5007-5 Pulmonary mucormycosis: serial morphologic changes on computed tomography correlate with clinical and pathologic findings Nam1, BD; Kim, TJ; Lee, KS; Kim, TS; Han, J; Chung, MJ
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  • ANTIMICROB AGENTS CH 2018 10.1128/AAC.01812-17 Intermittent Antibiotic Therapy for Recurrent Nodular Bronchiectatic Mycobacterium avium Complex Lung Disease Jhun1, BW; Moon, SM; Kim, SY; Park, HY; Jeon, K; Kwon, OJ; Huh, HJ; Ki, CS; Lee, NY; Chung, MJ; Lee, KS; Shin, SJ; Daley, CL; Koh, WJ
    View PubMed
  • AM J ROENTGENOL 2017 10.2214/AJR.17.17836 Doubling Time of Thymic Epithelial Tumors Correlates With World Health Organization Histopathologic Classification Jeong1, DY; Lee, KS; Chung, MJ; Zo, J; Shim, YM; Moon, JW
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  • Lung Cancer. 2017 Feb;104:106-110. doi: 10.1016/j.lungcan.2016.12.009. Epub 2016 Dec 20. Different histological subtypes of peripheral lung cancer based on emphysema distribution in patients with both airflow limitation and CT-determined emphysema Shin B11, Shin S2, Chung MJ3, Lee H1, Koh WJ1, Kim H1, Park HY4.
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  • Eur Respir J. 2016 Dec;48(6):1743-1750. doi: 10.1183/13993003.01148-2016. Epub 2016 Nov 3. Joint effect of airflow Limitation and emphysema on postoperative outcomes in early-stage nonsmall cell lung cancer Shin S11, Park HY2,3, Kim H4, Kim HK1, Choi YS1, Kim J1, Um SW5, Chung MJ6, Kim H5, Kwon OJ5, Zo JI1, Guallar E4,7, Cho J4,7,8, Shim YM1,3.
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  • Korean J Radiol. 2016 Nov-Dec;17(6):940-949. Epub 2016 Oct 31. Clinical Features and Radiological Findings of Adenovirus Pneumonia Associated with Progression to Acute Respiratory Distress Syndrome: A Single Center Study in 19 Adult Patients Cha MJ11, Chung MJ2, Lee KS2, Kim TJ2, Kim TS2, Chong S1, Han J3.
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  • Korean J Radiol. 2016 Nov-Dec;17(6):950-960. Epub 2016 Oct 31. The Impact of Iterative Reconstruction in Low-Dose Computed Tomography on the Evaluation of Diffuse Interstitial Lung Disease Lim HJ11, Chung MJ1, Shin KE1, Hwang HS1, Lee KS1.
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  • BMC Med Imaging. 2016 Aug 22;16(1):48. doi: 10.1186/s12880-016-0155-7. Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography Song I11, Yi JG1, Park JH1, Lee KS2, Chung MJ3,4.
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  • Korean J Radiol. 2016 May-Jun;17(3):321-9. doi: 10.3348/kjr.2016.17.3.321. Epub 2016 Apr 14. Virtual Non-Contrast CT Using Dual-Energy Spectral CT: Feasibility of Coronary Artery Calcium Scoring Song I11, Yi JG1, Park JH1, Kim SM2, Lee KS2, Chung MJ3.
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  • Medicine (Baltimore). 2016 May;95(19):e3710. doi: 10.1097/MD.0000000000003710. Quantification of Aortic Valve Calcifications Detected During Lung Cancer-Screening CT Helps Stratify Subjects Necessitating Echocardiography for Aortic Stenosis Diagnosis Lee HY11, Kim SM, Lee KS, Park SW, Chung MJ, Cho H, Jung JI, Jang HW, Jung SH, Goo J.
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  • Korean J Radiol. 2016 Mar-Apr;17(2):295-301. doi: 10.3348/kjr.2016.17.2.295. Epub 2016 Mar 2. Broncho-Pleural Fistula with Hydropneumothorax at CT: Diagnostic Implications in Mycobacterium avium Complex Lung Disease with Pleural Involvement Yoon HJ11, Chung MJ2, Lee KS2, Kim JS3, Park HY4, Koh WJ4.
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  • Acta Radiol. 2016 Feb;57(2):197-204. doi: 10.1177/0284185115575196. Epub 2015 Mar 9. CT and microbiologic follow-up in primary multidrug-resistant pulmonary tuberculosis Kim W11, Lee KS2, Kim HS1, Koh WJ3, Jeong BH3, Chung MJ1, Jang HW4.
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  • PLoS One. 2015 Oct 2;10(10):e0139621. doi: 10.1371/journal.pone.0139621. eCollection 2015. Clinical Significance of Mycobacterium kansasii Isolates from Respiratory Specimens Moon SM11, Park HY1, Jeon K1, Kim SY1, Chung MJ2, Huh HJ3, Ki CS3, Lee NY3, Shin SJ4, Koh WJ1.
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  • Korean J Radiol. 2015 Sep-Oct;16(5):1132-41. doi: 10.3348/kjr.2015.16.5.1132. Epub 2015 Aug 21. Adaptive Statistical Iterative Reconstruction-Applied Ultra-Low-Dose CT with Radiography-Comparable Radiation Dose: Usefulness for Lung Nodule Detection Yoon HJ11, Chung MJ2, Hwang HS2, Moon JW3, Lee KS2.
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  • 없음 Imaging Responses of On-site CsI and Gd2O2S Flat-panel Detectors: Dependence on the Tube Voltage
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  • Korean J Radiol. 2013 Nov-Dec;14(6):968-76. doi: 10.3348/kjr.2013.14.6.968. Epub 2013 Nov 5. Interpretation of Digital Chest Radiographs: Comparison of Light Emitting Diode versus Cold Cathode Fluorescent Lamp Backlit Monitors Lim HJ11, Chung MJ, Lee G, Yie M, Shin KE, Moon JW, Lee KS.
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  • Korean J Radiol. 2012 Mar-Apr;13(2):136-43. doi: 10.3348/kjr.2012.13.2.136. Epub 2012 Mar 7. Digital Tomosynthesis for PNS Evaluation: Comparisons of Patient Exposure and Image Quality with Plain Radiography Yoo JY11, Chung MJ, Choi B, Jung HN, Koo JH, Bae YA, Jeon K, Byun HS, Lee KS.
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  • Clin Radiol. 2012 Mar;67(3):232-8. doi: 10.1016/j.crad.2011.08.017. Epub 2011 Sep 21. Digital tomosynthesis of the chest: Utility for detection of lung metastasis in patients with colorectal cancer Jung HN11, Chung MJ, Koo JH, Kim HC, Lee KS.
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  • Korean J Radiol. 2011 Mar-Apr;12(2):163-8. doi: 10.3348/kjr.2011.12.2.163. Epub 2011 Mar 3. Usefulness of the CAD System for Detecting Pulmonary Nodule in Real Clinical Practice Song KD11, Chung MJ, Kim HC, Jeong SY, Lee KS.
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  • J Comput Assist Tomogr. 2011 Mar-Apr;35(2):266-71. doi: 10.1097/RCT.0b013e31820ccf18. Quantitative Computed Tomographic Indexes in Diffuse Interstitial Lung Disease: Correlation With Physiologic Tests and Computed Tomography Visual Scores Shin KE11, Chung MJ, Jung MP, Choe BK, Lee KS.
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  • AJR Am J Roentgenol. 2010 Dec;195(6):W400-7. doi: 10.2214/AJR.09.3963. C-Arm Cone-Beam CT-Guided Percutaneous Transthoracic Lung Biopsy: Usefulness in Evaluation of Small Pulmonary Nodules Hwang HS11, Chung MJ, Lee JW, Shin SW, Lee KS.
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  • Radiology. 2010 Oct;257(1):269-77. doi: 10.1148/radiol.10100303. Pulmonary Mycobacterial Disease: Diagnostic Performance of Low-Dose Digital Tomosynthesis as Compared with Chest Radiography Kim EY11, Chung MJ, Lee HY, Koh WJ, Jung HN, Lee KS.
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  • J Comput Assist Tomogr. 2010 Jan;34(1):31-4. doi: 10.1097/RCT.0b013e3181b5c630. Computer-Aided Detection of Lung Nodules: Influence of the Image Reconstruction Kernel for Computer-Aided Detection Performance Hwang J11, Chung MJ, Bae Y, Shin KM, Jeong SY, Lee KS.
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  • AJR Am J Roentgenol. 2008 Apr;190(4):917-22. doi: 10.2214/AJR.07.2979. Coronary calcium screening using low-dose lung cancer screening: Effectiveness of MDCT with retrospective reconstruction Kim SM11, Chung MJ, Lee KS, Choe YH, Yi CA, Choe BK.
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  • Korean J Radiol. 2008 Mar-Apr;9(2):95-101. doi: 10.3348/kjr.2008.9.2.95. Ultra-low-dose MDCT of the chest: Influence on automated lung nodule detection Lee JY11, Chung MJ, Yi CA, Lee KS.
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  • J Comput Assist Tomogr. 2007 Jul-Aug;31(4):564-8. CT imaging of gastric and hepatic complications after ingestion of glacial acetic acid Kim SJ11, Cho SB, Cho JM, Chung MJ, Paik SH, Kim SY, Sung DJ, Kim YH.
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  • Eur Radiol. 2006 Sep;16(9):1934-41. Epub 2006 Mar 1. Drug-sensitive tuberculosis, multidrug-resistant tuberculosis, and nontuberculous mycobacterial pulmonary disease in nonAIDS adults: comparisons of thin-section CT findings Chung MJ11, Lee KS, Koh WJ, Kim TS, Kang EY, Kim SM, Kwon OJ, Kim S.
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  • J Comput Assist Tomogr.?2005 Nov-Dec;29(6):825-30. Pulmonary parenchymal involvement of low-grade lymphoproliferative disorders Do KH11,?Lee JS,?Seo JB,?Song JW,?Chung MJ,?Heo JN,?Song KS,?Lim TH.
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  • J Korean Med Sci. 2005 Oct;20(5):777-83. Thin-section CT findings of nontuberculous mycobacterial pulmonary diseases: Comparison between Mycobacterium avium-intracellulare complex and Mycobacterium abscessus infection Chung MJ11, Lee KS, Koh WJ, Lee JH, Kim TS, Kwon OJ, Kim S.
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  • Eur Radiol. 2005 May;15(5):930-5. Epub 2004 Dec 18. Value of high-resolution ultrasound in detecting a pneumothorax Chung MJ11, Goo JM, Im JG, Cho JM, Cho SB, Kim SJ.
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  • Eur J Radiol. 2004 Nov;52(2):175-9. Pulmonary tuberculosis in patients with idiopathic pulmonary fibrosis Chung MJ11, Goo JM, Im JG.
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  • Invest Radiol. 2004 Oct;39(10):633-40. CT perfusion image of the lung - Value in the detection of pulmonary embolism in a porcine model Chung MJ11, Goo JM, Im JG, Lee KS, Kim KG, Park JH.
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