38 citations · 57 across the 6 of their papers we have counts for
6 papers
Deep Learning Analysis of Cardiac MRI in Legacy Datasets: Multi-Ethnic Study of Atherosclerosis
Avan Suinesiaputra, Charlene A Mauger, Bharath Ambale-Venkatesh +9
The shape and motion of the heart provide essential clues to understanding the mechanisms of cardiovascular disease. With the advent of large-scale cardiac imaging data, statistica…
Deep Learning-based Automated Aortic Area and Distensibility Assessment: The Multi-Ethnic Study of Atherosclerosis (MESA)
Vivek P. Jani, Nadjia Kachenoura, Alban Redheuil +10
This study applies convolutional neural network (CNN)-based automatic segmentation and distensibility measurement of the ascending and descending aorta from 2D phase-contrast cine…
Multiparametric Deep Learning Tissue Signatures for a Radiological Biomarker of Breast Cancer: Preliminary Results
Vishwa S. Parekh, Katarzyna J. Macura, Susan Harvey +4
A new paradigm is beginning to emerge in Radiology with the advent of increased computational capabilities and algorithms. This has led to the ability of real time learning by comp…
Ω-Net (Omega-Net): Fully Automatic, Multi-View Cardiac MR Detection, Orientation, and Segmentation with Deep Neural Networks
Davis M. Vigneault, Weidi Xie, Carolyn Y. Ho +2
Pixelwise segmentation of the left ventricular (LV) myocardium and the four cardiac chambers in 2-D steady state free precession (SSFP) cine sequences is an essential preprocessing…
Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization
Davis M. Vigneault, Weidi Xie, David A. Bluemke +1
Feature tracking Cardiac Magnetic Resonance (CMR) has recently emerged as an area of interest for quantification of regional cardiac function from balanced, steady state free prece…
Explaining Radiological Emphysema Subtypes with Unsupervised Texture Prototypes: MESA COPD Study
Jie Yang, Elsa D. Angelini, Benjamin M. Smith +5
Pulmonary emphysema is traditionally subcategorized into three subtypes, which have distinct radiological appearances on computed tomography (CT) and can help with the diagnosis of…