German Mato
Overview
Explore the profile of German Mato including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
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Articles
23
Citations
286
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Recent Articles
1.
Bernardo A, Mato G, Calandrelli M, Medus J, Curiale A
Biomed Phys Eng Express
. 2024 Nov;
11(1).
PMID: 39569845
This paper introduces a deep learning method for myocardial strain analysis while also evaluating the efficacy of the method across a public and a private dataset for cardiac pathology discrimination.We...
2.
Perez M, Lado G, Mato G, Franco D, Vinciguerra I, Berisso M, et al.
J Xray Sci Technol
. 2024 Mar;
32(2):355-367.
PMID: 38427532
An automated system for acquiring microscopic-resolution radiographic images of biological samples was developed. Mass-produced, low-cost, and easily automated components were used, such as Commercial-Off-The-Self CMOS image sensors (CIS), stepper motors,...
3.
Obando M, Bassi A, Ducros N, Mato G, Correia T
Sci Rep
. 2023 Dec;
13(1):21735.
PMID: 38066010
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...
4.
Tissone A, Vidal V, Nadal M, Mato G, Amarillo Y
J Neurophysiol
. 2021 Jul;
126(2):561-574.
PMID: 34232785
Membrane potential oscillations of thalamocortical (TC) neurons are believed to be involved in the generation and maintenance of brain rhythms that underlie global physiological and pathological brain states. These membrane...
5.
Dellavale D, Velarde O, Mato G, Urdapilleta E
Phys Rev E
. 2021 Jan;
102(6-1):062401.
PMID: 33466042
Cross-frequency coupling (CFC) refers to the nonlinear interaction between oscillations in different frequency bands, and it is a rather ubiquitous phenomenon that has been observed in a variety of physical...
6.
Cardenas R, Curiale A, Mato G
Biomed Phys Eng Express
. 2021 Jan;
6(4):045013.
PMID: 33444274
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....
7.
Curiale A, Bernardo A, Cardenas R, Mato G
Int J Comput Assist Radiol Surg
. 2020 Nov;
16(1):65-79.
PMID: 33196972
Purpose: 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...
8.
Dellavale D, Urdapilleta E, Campora N, Velarde O, Kochen S, Mato G
Clin Neurophysiol
. 2020 Jun;
131(8):1866-1885.
PMID: 32580114
Objective: Spectral 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...
9.
Velarde O, Urdapilleta E, Mato G, Dellavale D
Neuroimage
. 2019 Jul;
202:116031.
PMID: 31330244
Phase-amplitude cross frequency coupling (PAC) is a rather ubiquitous phenomenon that has been observed in a variety of physical domains; however, the mechanisms underlying the emergence of PAC and its...
10.
Curiale A, Colavecchia F, Mato G
Comput Methods Programs Biomed
. 2019 Jan;
169:37-50.
PMID: 30638590
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,...