Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Germán Mato"'
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-9 (2023)
Abstract In this work, we propose a model-based deep learning reconstruction algorithm for optical projection tomography (ToMoDL), to greatly reduce acquisition and reconstruction times. The proposed method iterates over a data consistency step and a
Externí odkaz:
https://doaj.org/article/c600220ed2eb44bd8ba386e054699be9
Publikováno v:
PLoS ONE, Vol 12, Iss 8, p e0182884 (2017)
Deep brain stimulation (DBS) has become a widely used technique for treating advanced stages of neurological and psychiatric illness. In the case of motor disorders related to basal ganglia (BG) dysfunction, several mechanisms of action for the DBS t
Externí odkaz:
https://doaj.org/article/05bc2a7393ee48aba406db2f0e18f9d2
Autor:
Martín Pérez, Gerardo Manuel Lado, Germán Mato, Diego Gaspar Franco, Ignacio Artola Vinciguerra, Mariano Gómez Berisso, Federico J. Pomiro, José Lipovetzky, Luciano Marpegan
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::12eb48a1d82f861b45398b7ba34dea3f
https://doi.org/10.2139/ssrn.4415935
https://doi.org/10.2139/ssrn.4415935
Autor:
Ariel H. Curiale, Matías E. Calandrelli, Lucca Dellazoppa, Mariano Trevisán, Jorge Luis Bocián, Juan Pablo Bonifacio, Germán Mato
Publikováno v:
Revista argentina de cardiología, Volume: 89, Issue: 4, Pages: 350-354, Published: 01 AUG 2021
RESUMEN Introducción: Las técnicas de inteligencia artificial han demostrado tener un gran potencial en el área de la cardiología, especialmente para cuantificar la función cardíaca de ambos ventrículos, volumen, masa y fracción de eyección
Autor:
Ariel H. Curiale, Facundo Cabrera, Pablo Jimenez, Jorgelina Medus, Germán Mato, Matías Calandrelli
Background: Artificial intelligence techniques have demonstrated great potential in cardiology, especially to detect imperceptible patterns for the human eye. In this sense, these techniques seem to be adequate to identify patterns in the myocardial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2f04bf74c073aedfd06b0fdc5cad96d
http://arxiv.org/abs/2206.01745
http://arxiv.org/abs/2206.01745
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery. 16:65-79
This paper presents CardIAc, an open-source application designed as an alternative to commercial software for left ventricle myocardial strain quantification in short-axis cardiac magnetic resonance images. The aim is to provide a useful extension fo
Publikováno v:
Computer Methods and Programs in Biomedicine. 169:37-50
Objective: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). Methods: The general framework consists of one CNN for detecting the LV, and another for tissue classification
Publikováno v:
Biomedical physicsengineering express. 6(4)
We propose a method for segmentation of the left ventricle in magnetic resonance cardiac images. The framework consists of an initial Bayesian segmentation of the central slice of the volume. This segmentation is used to locate a shape prior for the
Autor:
Silvia Kochen, Eugenio Urdapilleta, Germán Mato, Osvaldo Matías Velarde, Nuria Campora, Damián Dellavale
ObjectiveSpectral harmonicity of the ictal activity was analyzed regarding two clinically relevant aspects, (1) as a confounding factor producing ‘spurious’ phase-amplitude couplings (PAC) which may lead to wrong conclusions about the underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbeaa1c0a78bbc4ca1642acad89c7e89
https://doi.org/10.1101/2020.03.13.991299
https://doi.org/10.1101/2020.03.13.991299
Publikováno v:
CONICET Digital (CONICET)
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Consejo Nacional de Investigaciones Científicas y Técnicas
instacron:CONICET
Slow repetitive burst firing by hyperpolarized thalamocortical (TC) neurons correlates with global slow rhythms (