Contour-constrained branch U-Net for accurate left ventricular segmentation in echocardiography.

A semi-supervised multi-task assisted method for ultrasound medical image segmentation.

CMR-BENet: A confidence map refinement boundary enhancement network for left ventricular myocardium segmentation.

ECGEFNet: A two-branch deep learning model for calculating left ventricular ejection fraction using electrocardiogram.

DLFFNet: A new dynamical local feature fusion network for automatic aortic valve calcification recognition using echocardiography.

A spatio-temporal graph convolutional network for ultrasound echocardiographic landmark detection.

FFANet - Full frequency attention net for automatic diastolic function assessment.

EchoEFNet: Multi-task deep learning network for automatic calculation of left ventricular ejection fraction in 2D echocardiography.

Learning what and where to segment: A new perspective on medical image few-shot segmentation.

Automatic identification of septal flash phenomenon in patients with complete left bundle branch block.