Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk - Po-Cheng Chang; Zhi-Yong Liu; Yu-Chang Huang; Jung-Sheng Chen; Chung-Chuan Chou; Hung-Ta Wo; Wen-Chen Lee; Hao-Tien Liu; Chun-Chieh Wang; Ching-Heng Lin; Pei-Hsuan Tung; Chang-Fu Kuo; et al. (Comput. Biol. Medicine, 2025)

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach - Zhi-Yong Liu; Ching-Heng Lin; Yu-Chun Hsu; Jung-Sheng Chen; Po-Cheng Chang; Ming-Shien Wen; Chang-Fu Kuo (Int. J. Medical Informatics, 2025)

A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction - Ching-Heng Lin; Zhi-Yong Liu; Pao-Hsien Chu; Jung-Sheng Chen; Hsin-Hsu Wu; Ming-Shien Wen; Chang-Fu Kuo; Ting-Yu Chang (npj Digit. Medicine, 2025)

Mask Augmentation For Tumor Classification In Medical Images - Chun-Chieh Weng; Huan-Yu Chen; Jing-Tong Tzeng; Ching-Heng Lin; Po-Chih Kuo; Chi-Chun Lee (2025 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 2025)

Leveraging Foundation Models for Clinically Instructed Tumor Image Synthesis in Renal Cell Carcinoma - Huan-Yu Chen; Woan-Shiuan Chien; Ching-Heng Lin; Chi-Chun Lee (22nd IEEE International Symposium on Biomedical Imaging, ISBI 2025, Houston, TX, USA, April 14-17, 2025, 2025)

The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia - Shu-Hua Huang; Wen-Chiu Hsiao; Hsin-I Chang; Mi-Chia Ma; Shih-Wei Hsu; Chen-Chang Lee; Hong-Jie Chen; Ching-Heng Lin; Chi-Wei Huang; Chiung-Chih Chang (BMC Medical Imaging, 2024)

An efficient deep neural network for automatic classification of acute intracranial hemorrhages in brain CT scans - Yu-Ruei Chen; Chih-Chieh Chen; Chang-Fu Kuo; Ching-Heng Lin (Comput. Biol. Medicine, 2024)

Predicting ischemic stroke patients' prognosis changes using machine learning in a nationwide stroke registry - Ching-Heng Lin; Yi-An Chen; Jiann-Shing Jeng; Yu Sun; Cheng-Yu Wei; Po-Yen Yeh; Wei-Lun Chang; Yang C. Fann; Kai-Cheng Hsu; Jiunn-Tay Lee (Medical Biol. Eng. Comput., 2024)

Multi-ethnic Imputation System (MI-System): A genotype imputation server for high-dimensional data - Amrita Chattopadhyay; Chien-Yueh Lee; Ying-Cheng Shen; Kuan-Chen Lu; Tzu-Hung Hsiao; Ching-Heng Lin; Liang-Chuan Lai; Mong-Hsun Tsai; Tzu-Pin Lu; Eric Y. Chuang (J. Biomed. Informatics, 2023)

Lung Cancer Prediction Using Electronic Claims Records: A Transformer-Based Approach - Huan-Yu Chen; Hui-Min Wang; Ching-Heng Lin; Rob Yang; Chi-Chun Lee (IEEE J. Biomed. Health Informatics, 2023)

Machine learning approaches for the genomic prediction of rheumatoid arthritis and systemic lupus erythematosus - Chih-Wei Chung; Tzu-Hung Hsiao; Chih-Jen Huang; Yen-Ju Chen; Hsin-Hua Chen; Ching-Heng Lin; Seng-Cho Chou; Tzer-Shyong Chen; Yu-Fang Chung; Hwai-I Yang; Yi-Ming Chen (BioData Min., 2021)

A disease-specific language representation model for cerebrovascular disease research - Ching-Heng Lin; Kai-Cheng Hsu; Chih-Kuang Liang; Tsong-Hai Lee; Chia-Wei Liou; Jiann-Der Lee; Tsung-I Peng; Ching-Sen Shih; Yang C. Fann (Comput. Methods Programs Biomed., 2021)

Autodetect extracranial and intracranial artery stenosis by machine learning using ultrasound - Kai-Cheng Hsu; Ching-Heng Lin; Kory R. Johnson; Chi-Hung Liu; Ting-Yu Chang; Kuo-Lun Huang; Yang-Cheng Fann; Tsong-Hai Lee (Comput. Biol. Medicine, 2020)

Evaluation of machine learning methods to stroke outcome prediction using a nationwide disease registry - Ching-Heng Lin; Kai-Cheng Hsu; Kory R. Johnson; Yang C. Fann; Chon-Haw Tsai; Yu Sun; Li-Ming Lien; Wei-Lun Chang; Po-Lin Chen; Cheng-Li Lin; Chung Y. Hsu (Comput. Methods Programs Biomed., 2020)

Association test using Copy Number Profile Curves (CONCUR) enhances power in rare copy number variant analysis - Amanda Brucker; Wenbin Lu; Rachel Marceau West; Qi-You Yu; Chuhsing Kate Hsiao; Tzu-Hung Hsiao; Ching-Heng Lin; Patrik K. E. Magnusson; Patrick F. Sullivan; Jin P. Szatkiewicz; Tzu-Pin Lu; Jung-Ying Tzeng (PLoS Comput. Biol., 2020)

Genome-Wide Association Study (GWAS) on Metabolic Syndrome in Subjects with Abdominal Obesity in a Taiwanese Population - Kuan-Hung Yeh; Ching-Heng Lin; Tzu-Hung Hsiao; Tzu-Pin Lu (IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2020, Virtual Event, South Korea, December 16-19, 2020, 2020)

Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health Record With Deep Networks - Chen-Ying Hung; Huan-Yu Chen; Lawrence J. K. Wee; Ching-Heng Lin; Chi-Chun Lee (42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, EMBC 2020, Montreal, QC, Canada, July 20-24, 2020, 2020)

Applying density-based outlier identifications using multiple datasets for validation of stroke clinical outcomes - Ching-Heng Lin; Kai-Cheng Hsu; Kory R. Johnson; Marie Luby; Yang-Cheng Fann (Int. J. Medical Informatics, 2019)

Predicting Gastrointestinal Bleeding Events from Multimodal In-Hospital Electronic Health Records Using Deep Fusion Networks - Chen-Ying Hung; Ching-Heng Lin; Chi-Sen Chang; Jeng-Lin Li; Chi-Chun Lee (41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019, Berlin, Germany, July 23-27, 2019, 2019)

A standard-driven approach for electronic submission to pharmaceutical regulatory authorities - Ching-Heng Lin; Hsin-I Chou; Ueng-Cheng Yang (J. Biomed. Informatics, 2018)

Improving Young Stroke Prediction by Learning with Active Data Augmenter in a Large-Scale Electronic Medical Claims Database - Chen-Ying Hung; Ching-Heng Lin; Chi-Chun Lee (40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, HI, USA, July 18-21, 2018, 2018)

Comparing deep neural network and other machine learning algorithms for stroke prediction in a large-scale population-based electronic medical claims database - Chen-Ying Hung; Wei-Chen Chen; Po-Tsun Lai; Ching-Heng Lin; Chi-Chun Lee (2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, South Korea, July 11-15, 2017, 2017)

Cloud Computing Model for Analyzing Antibiotic Usage from the National Health Insurance Research Database - Che-Lun Hung; Ching-Heng Lin; Sheng-Ya Lu; Yi-Chia Kao; Li-Ying Li (14th International Symposium on Pervasive Systems, Algorithms and Networks & 11th International Conference on Frontier of Computer Science and Technology & Third International Symposium of Creative Computing, ISPAN-FCST-ISCC 2017, Exeter, United Kingdom, June 21-23, 2017, 2017)

An exploratory study using an openEHR 2-level modeling approach to represent common data elements - Ching-Heng Lin; Yang-Cheng Fann; Der-Ming Liou (J. Am. Medical Informatics Assoc., 2016)

Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries - Ching-Heng Lin; Nai-Yuan Wu; Wei-Shao Lai; Der-Ming Liou (J. Am. Medical Informatics Assoc., 2015)

A multi-technique approach to bridge electronic case report form design and data standard adoption - Ching-Heng Lin; Nai-Yuan Wu; Der-Ming Liou (J. Biomed. Informatics, 2015)

An entry generation pipeline for converting free-text medical document into Clinical Document Architecture document with entry-level - Ching-Heng Lin; Wei-Shao Lai; Li-Hui Lee; Hsiao-Mei Tsao; Der-Ming Liou (Proceedings of IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014, Valencia, Spain, June 1-4, 2014, 2014)

A novel support vector sampling technique to improve classification accuracy and to identify key genes of leukaemia and prostate cancers - Austin H. Chen; Ching-Heng Lin (Expert Syst. Appl., 2011)

GNAnalyzer: A Novel System for Analyzing Gene Networks from Microarray Data with Bayesian Networks - Austin H. Chen; Ching-Heng Lin; Guan-Ting Chen; Jen-Chieh Hsieh (CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes, 2009)

BCPP: An Intelligent Prediction System of Breast Cancer Prognosis Using Microarray and Clinical Data - Austin H. Chen; Guan-Ting Chen; Jen-Chieh Hsieh; Ching-Heng Lin (CSIE 2009, 2009 WRI World Congress on Computer Science and Information Engineering, March 31 - April 2, 2009, Los Angeles, California, USA, 7 Volumes, 2009)

GNAS: A Tool for Analyzing Performance of Gene Networks Generated from Bayesian Network Algorithms - Austin H. Chen; Ching-Heng Lin (19th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2007), October 29-31, 2007, Patras, Greece, Volume 1, 2007)