陳翎資訊管理研究所115-05-18115-08-06<![CDATA[<div class="ed_model09 clearfix">
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助理教授<br>
<strong>陳翎</strong><br>
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研究室 護理館5樓515室<br>
聯絡電話 (02)2826-7000#65337<br>
傳真電話 (02)28206252<br>
電子信箱 <a href="mailto:ling.chen@nycu.edu.tw" title="ling.chen@nycu.edu.tw" id="1-2">ling.chen@nycu.edu.tw</a></div>
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<th>研究領域</th>
<th>開授課程</th>
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<td class="ed_pc_center" data-th="編號">醫學影像診斷輔助</td>
<td data-th="項目" style="text-align: center;">Python機器學習在智慧醫療的應用</td>
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<td class="ed_pc_center" data-th="編號">疾病風險預測</td>
<td data-th="項目" style="text-align: center;">深度學習在智慧醫療的應用</td>
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<td class="ed_pc_center" data-th="編號">醫療決策系統</td>
<td data-th="項目" style="text-align: center;">智慧醫療與產業應用</td>
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<li><strong>學歷</strong>
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<li>澳洲昆士蘭大學Computer Science (Data Mining)博士</li>
<li>澳洲昆士蘭大學Computer Science 、Information Technology碩士</li>
<li>國立臺灣大學哲學系學士</li>
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<li><strong>經歷</strong>
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<li>國立陽明交通大學醫學院醫務管理研究所 助理教授</li>
<li>Researcher, Clarivate, Australia</li>
<li>Research Developer, TrademarkVision, Australia</li>
<li>Internship, Hunan Research Centre for Hypertension, The 3 rd Xianya Hospital, Central South University, China</li>
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<li>Ling Chen, Sung-Hao Huang, Tzu-Hsiang Wang, Vincent S. Tseng, Hsuan-Ming Tsao, Gau-Jun Tang (2024, Jul). Automatic 3D left atrial strain extraction framework on cardiac computed tomography. Computer Methods and Programs in Biomedicine, 252, 108236. (SCI, 25/110, COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS). nstc 110-2222-E-A49A-501-MY3. 本人為第一作者.</li>
<li>Kao-Jung Chang, Tai-Chi Lin, Chih-Chien Hsu, Cherng-Ru Hsu, Wei-Hao Chang, Cheng-Yi Li, Ling Chen, De-Kuang Hwang, Shih-Jen Chen, Shih-Hwa Chiou (2024, Apr). Rearrange Anatomy Inputs Like LEGO Bricks: Applying InSSS-P and a Mobile-Dense Hybrid Network to Distill Vascular Significance from Retina OCT-angiography. IEEE Computational Intelligence Magazine. (Accepted). (SCI, 17/145, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE).</li>
<li>Ling Chen, Vincent S. Tseng, Ta-Hsin Tsung, & Da-Wen Lu (2024, Feb). A Multi-label Transformer-based Deep Learning Approach to Predict Focal Visual Field Progression. Graefe's Archive for Clinical and Experimental Ophthalmology, https://doi.org/10.1007/s00417-024-06393-1. (SCI, 28/62, OPHTHALMOLOGY). 本人為第一作者.</li>
<li>Ling Chen, Sung-Hao Huang, Tzu-Hsiang Wang, Tzuo-Yun Lan, Vincent S. Tseng, Hsuan-Ming Tsao, Hsueh-Han Wang, and Gau-Jun Tang (2023, Jan). Deep Learning-based Automatic Left Atrial Appendage Filling Defects Assessment on Cardiac Computed Tomography for Clinical and Subclinical Atrial Fibrillation Patients. Heliyon, 9(1), e12945. (SCIE, 23/73, MULTIDISCIPLINARY SCIENCES). nstc 110-2222-E-A49A-501-MY3. 本人為第一作者.</li>
<li>Fang-Ming Hung, Chih-Ho Hsu, Jun-En Ding, Ling Chen* (2022, Aug). Hospital transfer risk scoring system for a Taiwan COVID-19 medicalized hotel based on graph convolutional networks. Journal of the Formosan Medical Association, 121(12), 2653-2655. (SCIE, 72/69, MEDICINE, GENERAL & INTERNAL). 本人為通訊作者. Correspondence.</li>
<li>Jing-Xian Shu, Ying Li, Ting He, Ling Chen, Xue Li, Lin-Lin Zou, Yin Lu, Xiao-Hui Li, An-Li Wang, Xing Liu, Hong Yuan (2018, Jan). Applying a “Big Data” Literature System to Recommend Antihypertensive Drugs for Hypertension Patients with Diabetes Mellitus. Medical Science Monitor, 24, 114-148. (SCIE, 87/136, MEDICINE, RESEARCH & EXPERIMENTAL).</li>
<li>Ling Chen, Xue Li, Quan Z. Sheng, Wen Chih Peng, John Bennett, Hsiao Yun Hu, Nicole Huang (2016, Sep). Mining Health Examination Records - A Graph-Based Approach. IEEE Transactions on Knowledge and Data Engineering, 28(9), 2423-2437. (SCIE, 18/145, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE). 本人為第一作者.</li>
<li>Ling Chen, Xue Li, Yi Yang, Hanna Kurniawati, Quan Z. Sheng, Hsiao-Yun Hu, Nicole Huang (2016, Jan). Personal health indexing based on medical examinations: A data mining approach. Decision Support Systems, 81(2016), 54-65. (SCIE, 34/192, COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE ). 本人為第一作者.</li>
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<li>Po-Kuang Chen, Shih-Hsien Sung, Ling Chen (2024, Apr). Applying Gaussian Mixture Model for clustering analysis of emergency room patients based on intubation status. 22nd International Conference of AI in Medicine (AIME 2024), Salt Lake City, Utah, USA. 本人為通訊作者. Short Paper.</li>
<li>Da-Wen Lu, Ta-Hsin Tsung, and Ling Chen (2023, Nov). Predicting Visual Field Progression for Glaucoma Patients and Suspects using Deep Learning. The 64th Annual Meeting of the Ophthalmological Society of Taiwan, Taipei, Taiwan. 本人為通訊作者. Poster.</li>
<li>Yong-Wei Chen, Wei-Chieh Huang, Cheng-Hsueh Wu, Ling Chen (2023, May). Automatic Artery Segmentation in Coronary Angiography based on Deep learning. 31st Annual Meeting of the Japanese Society of Cardiovascular Intervention and Therapeutics (CVIT2023), Kyushu/Okinawa, Japan. nstc 110-2222-E-A49A-501-MY3. 本人為通訊作者. Oral.</li>
<li>Pokuang Chen, Shih-Hsien Sung, Ling Chen (2023, Mar). Using LSTM Model to Predict the Transmission Trends and Spreading Speed of the COVID-19 Urban Epidemic Transmission Scale. 22nd International Conference on Emergency Medicine, Amsterdam, The Netherlands. Poster.</li>
<li>Ling Chen, Xue Li, Sen Wang, Hsiao Yun Hu, Nicole Huang, Quan Z. Sheng, Mohamed Sharaf (2014, Dec). Mining Personal Health Index from Annual Geriatric Medical Examinations. 2014 IEEE International Conference on Data</li>
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