39 citations · 39 across the 3 of their papers we have counts for
3 papers
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…
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…
Mirror symmetry rupture in double photoionization of endohedrally confined atoms
F. D. Colavecchia, G. Gasaneo, D. Mitnik
We study the double electronic emission by photon impact from He in the center of a spherical fullerene, which is modeled by a square-well shell. This system exhibits a manifold of…