Deep learning methods are the de-facto solutions to a multitude of medic...
Generative Adversarial Networks (GANs) have become increasingly powerful...
Deep learning has successfully been leveraged for medical image segmenta...
In this paper, we propose a new deep learning framework for an automatic...
Accurate and reproducible measurements of the aortic diameters are cruci...
Convolutional neural networks (CNN) have had unprecedented success in me...
Cardiac left ventricular (LV) segmentation from short-axis MRI acquired ...
In this work, we propose a Variational Autoencoder (VAE) - Generative
Ad...
Deep learning has shown unprecedented success in a variety of applicatio...
Ear consists of the smallest bones in the human body and does not contai...
Recent publications have shown that the segmentation accuracy of modern-...
Significance: Late gadolinium enhanced magnetic resonance imaging (LGE-M...
Purpose: The goal of this study is to show the advantage of a collaborat...
In this paper, we propose a fully automatic MRI cardiac segmentation met...
Magnetic Resonance Imaging (MRI) and Positron Emission Tomography (PET)
...