AI-based Computer-Aided System for Cardiovascular Disease Evaluation (AI-CASCADE) for carotid tissue quantification

Automated Segmentation of the Left Atrium from 3D Late Gadolinium Enhancement Imaging using Deep Learning

Automatic multilabel segmentation of large cerebral vessels from MR angiography images using deep learning

Cardiac MRI feature tracking by deep learning from DENSE data

Deep Learning-Based ESPIRiT Reconstruction for Accelerated 2D Phase Contrast MRI: Analysis of the Impactof Reconstruction Induced Phase Errors

Deep learning-based reconstruction for 3D coronary MR angiography with a 3D variational neural network (3D-VNN)

Differentiation between cardiac amyloidosis and hypertrophic cardiomyopathy by texture analysis of T2-weighted CMR imaging

End-to-end Motion Corrected Reconstruction using Deep Learning for Accelerated Free-breathing Cardiac MRI

Evaluation of a Deep Learning reconstruction framework for three-dimensional cardiac imaging

Exploring feature space of MR vessel images with limited data annotations through metric learning and episodic training

Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning

Generalizability and Robustness of an Automated Deep Learning System for Cardiac MRI Plane Prescription

Intracranial aneurysm segmentation using a deep convolutional neural network

Myocardial T2-weighted black-blood imaging with a deep learning constrained Compressed SENSE reconstruction

Probing the Feasibility and Performance of Super-Resolution Head and Neck MRA Using Deep Machine Learning

Reduction of contrast agent dose in cardiovascular MR angiography using deep learning

Respiratory motion in DENSE MRI: Introduction of a new motion model and use of deep learning for motion correction