Cardiology | Machine Learning | Medical Imaging Applying masked autoencoder-based self-supervised learning for high-capability vision transformers of electrocardiographies. August 14, 2024
Cardiology The potential of the transformer-based survival analysis model, SurvTrace, for predicting recurrent cardiovascular events and stratifying high-risk patients with ischemic heart disease. June 18, 2024
Cardiology | Radiology Multimodality Risk Assessment of Patients with Ischemic Heart Disease Using Deep Learning Models Applied to Electrocardiograms and Chest X-rays. January 31, 2024
Cardiology Deep Learning Models for Predicting Left Heart Abnormalities From Single-Lead Electrocardiogram for the Development of Wearable Devices. November 15, 2023
Cardiology Automatic Detection of Left Ventricular Dilatation and Hypertrophy from Electrocardiograms Using Deep Learning. October 4, 2022
Cardiology The Effectiveness of a Deep Learning Model to Detect Left Ventricular Systolic Dysfunction from Electrocardiograms. December 2, 2021
Cardiology Deep learning model to detect significant aortic regurgitation using electrocardiography: Detection model for aortic regurgitation. September 21, 2021
Cardiology | Radiology Diagnosing Heart Failure from Chest X-Ray Images Using Deep Learning. July 30, 2020