Cardiology | Radiology Fast reconstruction of SMS bSSFP myocardial perfusion images using noise map estimation network (NoiseMapNet): a head-to-head comparison with parallel imaging and iterative reconstruction. July 26, 2024
Cardiology | Radiology Enhancing Transvenous Lead Extraction Risk Prediction: Integrating Imaging Biomarkers into Machine Learning Models. February 14, 2024
Cardiology | Radiology Automatic image-based tracking of gadolinium-filled balloon wedge catheters for MRI-guided cardiac catheterization using deep learning. September 25, 2023
Critical Care Medicine | Respiratory Medicine Clinical benefit of AI-assisted lung ultrasound in a resource-limited intensive care unit. July 1, 2023
Cardiology | Radiology Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. June 16, 2023
Cardiology | Radiology AI-AIF: artificial intelligence-based arterial input function for quantitative stress perfusion cardiac magnetic resonance. February 6, 2023
Cardiology | Radiology Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation. April 25, 2022
Cardiology | Radiology Deep Learning for Classification and Selection of Cine CMR Images to Achieve Fully Automated Quality-Controlled CMR Analysis From Scanner to Report. November 1, 2021
Cardiology | Pediatrics Automated Quantitative Stress Perfusion Cardiac Magnetic Resonance in Pediatric Patients. September 20, 2021
Cardiology | Radiology Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function. July 21, 2019