39 citations · 39 across the 2 of their papers we have counts for
2 papers
cs.CV2018★ 39 cited
Automatic quantification of the LV function and mass: a deep learning approach for cardiovascular MRI
Ariel H. Curiale, Flavio D. Colavecchia, German Mato
Objective: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). Methods: The general framework consists…
cs.CV2017
Automatic Myocardial Segmentation by Using A Deep Learning Network in Cardiac MRI
Ariel H. Curiale, Flavio D. Colavecchia, Pablo Kaluza +2
Cardiac function is of paramount importance for both prognosis and treatment of different pathologies such as mitral regurgitation, ischemia, dyssynchrony and myocarditis. Cardiac…