Cardiology | Radiology Addressing Deep Learning Model Calibration Using Evidential Neural Networks And Uncertainty-Aware Training. September 10, 2024
Cardiology | Radiology A Deep Learning-based Integrated Framework for Quality-aware Undersampled Cine Cardiac MRI Reconstruction and Analysis. October 2, 2023
Cardiology | Radiology Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. June 16, 2023
Cardiology | Computational Medicine | Radiology A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot. February 28, 2023
Cardiology | Electrophysiology Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices. November 12, 2022
Cardiology | Radiology A multimodal deep learning model for cardiac resynchronisation therapy response prediction. April 29, 2022
Cardiology | Radiology Fairness in Cardiac Magnetic Resonance Imaging: Assessing Sex and Racial Bias in Deep Learning-Based Segmentation. April 25, 2022
Cardiology | Medical Imaging | Radiology Artificial Intelligence in Cardiac MRI: Is Clinical Adoption Forthcoming? January 27, 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 | Radiology Deep Learning Based Detection and Correction of Cardiac MR Motion Artefacts During Reconstruction for High-Quality Segmentation. August 3, 2020
Cardiology | Radiology Fully Automated, Quality-Controlled Cardiac Analysis From CMR: Validation and Large-Scale Application to Characterize Cardiac Function. July 21, 2019