Chen, Ling
中文- Publish Date：2024-12-13
- Update Date：2025-02-04
- Units：Institute of Hospital and Health Care Administration
Chen, Ling
Room515, 5F, Nursing Building, Yangming Campus
+886-2-2826-7000#65337
Academic 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 InterestsMedical 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 WorksMaster 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
