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Giacinto Donvito

Datos Biográficos

ID7968009
NOMBREGiacinto Donvito
NOMBRESGiacinto
APELLIDODonvito
FIRMADONVITO G
AFILIACIONESIstituto Nazionale di Fisica Nucleare
ORCID0000-0002-0628-1080
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Brain Age Prediction With Morphological Features Using Deep Neural Networks

    Open Access•Angela Lombardi, A Monaco et al.•ARTICLE•Frontiers in Psychiatry•2021

    Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…

Sin obras prominentes en esta página.

  • Brain Age Prediction With Morphological Features Using Deep Neural Networks

    Open Access•Angela Lombardi, A Monaco et al.•ARTICLE•Frontiers in Psychiatry•2021

    Morphological changes in the brain over the lifespan have been successfully described by using structural magnetic resonance imaging (MRI) in conjunction with machine learning (ML) algorithms. International challenges and scientific initiatives to share open access imaging datasets also contributed significantly to the advance in brain structure characterization and brain age prediction methods. In this work, we present the results of the predict…

Advanced Neuroimaging Techniques and Applications (1 obras) · Artificial Intelligence (1 obras) · Artificial neural network (1 obras) · Computer Science (1 obras) · Deep learning (1 obras) · Deep neural networks (1 obras) · Feature (linguistics (1 obras) · Functional Brain Connectivity Studies (1 obras) · Health, Environment, Cognitive Aging (1 obras) · Interpretability (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae