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Ching-Heng Lin

Assistant Professor

National Tsing Hua University

Taiwan

Research Interests

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Professors in Medical Imaging

Articles (18)

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Collaborators (2)

Chang-Fu Kuo

Professor

Chang Gung University

TAIWAN

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Hao-Tien Liu

Chang Gung University

TAIWAN

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Ching-Heng Lin

Research Interests

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Articles (18)

A Review of Transformers in Medical Research and Health Care

Enhancing Image-Text Alignment in Chest X-ray Datasets by Reducing External References via a Fine-Tuned Large Language Model Pipeline

Utilizing 12-lead electrocardiogram and machine learning to retrospectively estimate and prospectively predict atrial fibrillation and stroke risk

A multitask deep learning model utilizing electrocardiograms for major cardiovascular adverse events prediction

ECG-surv: A deep learning-based model to predict time to 1-year mortality from 12-lead electrocardiogram

Enhancing systematic review efficiency in hand surgery using artificial intelligence (natural language processing) for abstract screening

Universal representations in cardiovascular ECG assessment: A self-supervised learning approach

Machine Learning Models for Predicting Mortality in Patients with Cirrhosis and Acute Upper Gastrointestinal Bleeding at an Emergency Department: A Retrospective Cohort Study

An efficient deep neural network for automatic classification of acute intracranial hemorrhages in brain CT scans

Assessment of the impact of resting heart rate on the risk of major adverse cardiovascular events after ischemic stroke: a retrospective observational study

Development of a Machine Learning Model to Predict the Use of Surgery in Patients With Rheumatoid Arthritis

Machine learning models for predicting unscheduled return visits of patients with abdominal pain at emergency department and validation during COVID-19 pandemic: A retrospective cohort study

Predicting ischemic stroke patients’ prognosis changes using machine learning in a nationwide stroke registry

The use of individual-based FDG-PET volume of interest in predicting conversion from mild cognitive impairment to dementia

Artificial intelligence-enabled electrocardiographic screening for left ventricular systolic dysfunction and mortality risk prediction

Atrial fibrillation as a contributor to the mortality in patients with dementia: A nationwide cohort study

Development and Validation of a Novel Score for Predicting Long-Term Mortality after an Acute Ischemic Stroke

Machine learning-based prediction of acute mortality in emergency department patients using twelve-lead electrocardiogram

Collaborators (2)

Chang-Fu Kuo

Hao-Tien Liu

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