Chin-Sheng Lin

Orcid: 0000-0002-5167-8327

According to our database1, Chin-Sheng Lin authored at least 14 papers between 2003 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Deep learning-enabled ECG system for detecting left ventricular hypertrophy and predicting cardiovascular prognoses.
BioData Min., 2026

2025
Universal Atrial Fibrillation Screening Using Electrocardiographic Artificial Intelligence: A Cost-Effective Approach in Rural Communities.
J. Medical Syst., December, 2025

Development of an Artificial Intelligence-Enabled Electrocardiography to Detect 23 Cardiac Arrhythmias and Predict Cardiovascular Outcomes.
J. Medical Syst., December, 2025

Artificial Intelligence-Enabled Electrocardiography Identifies Osteoporosis and has Prognostic Value.
J. Medical Syst., December, 2025

A Pretraining Approach for Small-sample Training Employing Radiographs (PASTER): a Multimodal Transformer Trained by Chest Radiography and Free-text Reports.
J. Medical Syst., December, 2025

Economic analysis of an AI-enabled ECG alert system: impact on mortality outcomes from a pragmatic randomized trial.
npj Digit. Medicine, 2025

A Deep-Learning-Enabled Electrocardiogram and Chest X-Ray for Detecting Pulmonary Arterial Hypertension.
J. Imaging Inform. Medicine, 2025

Integrating VAI-Assisted Quantified CXRs and Multimodal Data to Assess the Risk of Mortality.
J. Imaging Inform. Medicine, 2025

2024
Artificial Intelligence-enabled Chest X-ray Classifies Osteoporosis and Identifies Mortality Risk.
J. Medical Syst., December, 2024

Artificial Intelligence-Enabled Electrocardiography Predicts Future Pacemaker Implantation and Adverse Cardiovascular Events.
J. Medical Syst., December, 2024

2023
An AI-Enabled Dynamic Risk Stratification for Emergency Department Patients with ECG and CXR Integration.
J. Medical Syst., December, 2023

Extensive deep learning model to enhance electrocardiogram application via latent cardiovascular feature extraction from identity identification.
Comput. Methods Programs Biomed., April, 2023

2022
Point-of-care artificial intelligence-enabled ECG for dyskalemia: a retrospective cohort analysis for accuracy and outcome prediction.
npj Digit. Medicine, 2022

2003
Design techniques for a fully differential low voltage low-power flash analog to-digital converter.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003


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