Cardiology | Radiology TAI-GAN: A Temporally and Anatomically Informed Generative Adversarial Network for early-to-late frame conversion in dynamic cardiac PET inter-frame motion correction. May 31, 2024
Cardiology | Radiology Holistic AI analysis of hybrid cardiac perfusion images for mortality prediction. May 7, 2024
Cardiology | Nuclear Medicine Artificial Intelligence Predicts Hospitalization for Acute Heart Failure Exacerbation in Patients Undergoing Myocardial Perfusion Imaging. March 28, 2024
Cardiology | Radiology Automated vessel specific coronary artery calcification quantification with deep learning in a large multi-center registry. February 20, 2024
Cardiology | Radiology AI-derived epicardial fat measurements improve cardiovascular risk prediction from myocardial perfusion imaging. February 3, 2024
Cardiology Severe aortic stenosis detection by deep learning applied to echocardiography. August 23, 2023
Cardiology | Internal Medicine Detection of Left Ventricular Systolic Dysfunction From Electrocardiographic Images. July 25, 2023
Cardiology | Radiology DuSFE: Dual-Channel Squeeze-Fusion-Excitation co-attention for cross-modality registration of cardiac SPECT and CT. May 22, 2023
Cardiology | Radiology Time and event-specific deep learning for personalized risk assessment after cardiac perfusion imaging. May 1, 2023
Cardiology | Radiology Deep Learning of Coronary Calcium Scores From PET/CT Attenuation Maps Accurately Predicts Adverse Cardiovascular Events. October 26, 2022
Cardiology | Radiology Calcium scoring in low-dose ungated chest CT scans using convolutional long-short term memory networks. October 26, 2022
Cardiology | Radiology Direct Risk Assessment From Myocardial Perfusion Imaging Using Explainable Deep Learning. October 23, 2022