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Learning Visual Context European Radiology Adenocarcinoma Artificial Intelligence lung cancer Diagnosis computer-assisted Thoracic radiography Pnemonia Mass screening Computer-assisted radiographic image interpretation Disease-free survival Emergency Department Deep-learning CT Radiology Acute Febrile Respiratory Illness deep learning tuberculosis Radiography Chest Radiographs

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  • AI 기반 흉부 엑스레이 분석,⋯
  • 인간보다 정확하고 빠르게 진⋯
  • Deep learning–based automa⋯
  • 홍승완 (Seungwan Hong)

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  • 서울대학교 의과대학 의료영상인공지능⋯
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  • 2020/09
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deep learning(9)

  • Deep learning–based automated detection algorithm for active pulmonary tuberculosis on chest radiographs: diagnostic performance in systematic screening of asymptomatic individuals

    Eur Radiol 2020 Lee et al. Full text https://link.springer.com/article/10.1007%2Fs00330-020-07219-4

    2020.09.02
  • Implementation of a Deep Learning-Based Computer Aided Detection System for the Interpretation of Chest Radiographys in Patients Suspected for COVID-19

    Korean J Radiol 2020 Hwang et al. Full text kjronline.org/DOIx.php?id=10.3348/kjr.2020.0536

    2020.07.21
  • Automated identification of chest radiographs with referable abnormality with deep learning: need for recalibration

    Eur Radiol 2020 Jul 14 Hwang & Kim et al. Full text https://link.springer.com/article/10.1007/s00330-020-07062-7

    2020.07.17
  • Clinical Validation of a Deep Learning Algorithm for Detection of Pneumonia on Chest Radiographs in Emergency Department Patients with Acute Febrile Respiratory Illness

    J Clin Med 2020: 9: E1981 Kim et al. Full text https://www.mdpi.com/2077-0383/9/6/1981

    2020.07.06
  • Deep learning algorithm for surveillance of pneumothorax after lung biopsy: a multicenter diagnostic cohort study

    Eur Radiol. 2020 Mar 11. doi: 10.1007/s00330-020-06771-3. [Epub ahead of print] Hwang et al. Full text http://lps3.link.springer.com.libproxy.snu.ac.kr/article/10.1007%2Fs00330-020-06771-3

    2020.03.24
  • Discrimination of Mental Workload Levels From Multi-Channel fNIRS Using Deep Leaning-Based Approaches

    IEEE Access. 2019 Feb;7:24392-24403 THI KIEU KHANH HO et al. Full text https://ieeexplore.ieee.org/document/8643929

    2020.01.30
  • Deep Learning for Chest Radiograph Diagnosis in the Emergency Department

    Radiology 2019; 293:573-580 Hwang et al. Full text https://pubs.rsna.org/doi/full/10.1148/radiol.2019191225

    2020.01.20
  • Development and Validation of a Deep Learning-Based Automated Detection Algorithm for Major Thoracic Diseases on Chest Radiographs

    JAMA Network Open 2019 Mar 1;2(3):e191095 Hwang et al. Full text https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2728630

    2020.01.20
  • Development and Validation of a Deep Learning-based Automatic Detection Algorithm for Active Pulmonary Tuberculosis on Chest Radiographs

    Clinical Infectious Diseases 2019; 69(5):739-747 Hwang et al. Full text https://academic.oup.com/cid/article/69/5/739/5174137

    2020.01.20
  • 안윤진(Ahn Yun Jin)

    1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail : unjin321@gmail.com

  • 김수현(Kim Su Hyeon)

    1.present title :Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: selon0530@gmail.com

  • 양소희(Yang So hee)

    1. present title : Clinical Research Coordinator ,Department of Radiology, Seoul National University Hospital 2.E-mail: soheeyang0520@gmail.com

  • 강동산(Kang Dong San)

    1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: qwepoi9107@gmail.com

1
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