deep learning(5)
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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
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안윤진(Ahn Yun Jin)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail : unjin321@gmail.com
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김수현(Kim Su Hyeon)
1.present title :Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: selon0530@gmail.com
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양소희(Yang So hee)
1. present title : Clinical Research Coordinator ,Department of Radiology, Seoul National University Hospital 2.E-mail: soheeyang0520@gmail.com
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강동산(Kang Dong San)
1.present title : Clinical Researcher,Department of Radiology, Seoul National University Hospital 2.E-mail: qwepoi9107@gmail.com