Chen Ling-professor

Chen Ling

Research room
Contact number
Fax telephone
Email

Assistant Professor

Room 515, 5th floor, Nursing Center
(02)2826-7000#65337
(02)28206252
ling.chen@nycu.edu.tw

Research

Medical imaging diagnostic aid
Disease risk prediction
Medical decision-making system

Courses

Python Machine Learning for Smart Healthcare
Deep Learning for Smart Healthcare
Smart Healthcare and its Applications in Industry

Academic Background
Ph.D., Computer Science (Data Mining), University of Queensland (UQ)
Master of Computer Science and Information Technology from the University of Queensland, Australia
Bachelor of Arts (Philosophy major), National Taiwan University

Curriculum Vitae
Assistant Professor, Institute of Medical Management, National Yang-Ming University School of Medicine
Researcher, Clarivate, Australia
Research Developer, TrademarkVision, Australia
Internship, Hunan Research Center for Hypertension, The 3rd Xianya Hospital, Central South University, China

Journal Paper
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. I am the first author.
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). I am the first author.
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 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. I am the first author.
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). I am the corresponding author. 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). I am the first author.
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 ). I am the first author.

Conference Paper
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. I am the corresponding author. Short Paper.
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. Correspondence from me Author. Poster.
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. I am the corresponding author. Oral.
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 .
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