陳翎 Chen, Ling
中文- Publish Date：2024-12-13
- Update Date：2025-06-04
- Units：Institute of Hospital and Health Care Administration
陳翎
Chen, Ling
Chen, Ling
+886-2-2826-7000#65337
ling.chen@nycu.edu.tw
Room515, 5F, Nursing Building, Yangming CampusAcademic Degrees
- Ph.D., Computer Science (Data Mining), University of Queensland (UQ)
- Master of Computer Science, UQ
- Master of Information Technology, UQ
- Bachelor of Arts (Philosophy major), National Taiwan University
Experience
- Assistant Professor, Institute of Hospital and Health Care Administration, College of Medicine, National Yang Ming Chiao Tung University
- Researcher, Clarivate, Australia
- Research Developer, TrademarkVision, Australia
- Internship, Hunan Research Centre for Hypertension, The 3 rd Xianya Hospital, Central South University, China
Research Interests
Medical image analysis for diagnosis support, Disease risk prediction, Medical decision support systems
Medical image analysis for diagnosis support, Disease risk prediction, Medical decision support systems
Ongoing Research Grants
- Subclinical Atrial Fibrillation Prediction using AI Deep Learning based on Medical Images (110-2222-E-A49A-501-MY3)
- Abusive head trauma detection for young children based on brain CT: a deep learning approach (VGHUST112-G1-9-3)
- 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.
- 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).
- 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.
- 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.
- 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.
- 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).
- 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.
- 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.
Advisee Student Works
Master Program
Master Program
- A web system for AI-based Cardiac Image Analysis
- Deep learning-based automatic left atrial segmentation on echocardiography for subclinical atrial fibrillation patients
- Automatic artery segmentation in coronary angiography based on deep learning
- Healthcare usage prediction for home healthcare patients using deep learning: A case study of a hospital in Taipei City
In-Service Master Program
- An automated fake news detection model and platform using Text Mining and Machine Learning Technologies – A case study of health news from Content Farm
- Fluorescent cholangiography-trained deep learning system for identifying extrahepatic bile duct during laparoscopic cholecystectomy
- An Age Estimation System Based on Facial Wrinkles Features using Deep Learning Technologies
