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Weikang Gong

Datos Biográficos

ID7979643
NOMBREWeikang Gong
NOMBRESWeikang
APELLIDOGong
FIRMAGONG W
AFILIACIONESWellcome Centre for Integrative Neuroimaging
ORCID0000-0002-5387-4428
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2021
AÑO MÁS RECIENTE DE PUBLICACIÓN2021
ÍNDICE H0
  • Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

    Open Access•Weikang Gong, Christian F Beckmann et al.•ARTICLE•Frontiers in Psychiatry•2021

    Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…

Sin obras prominentes en esta página.

  • Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge

    Open Access•Weikang Gong, Christian F Beckmann et al.•ARTICLE•Frontiers in Psychiatry•2021

    Brain age prediction from brain MRI scans not only helps improve brain ageing modelling generally, but also provides benchmarks for predictive analysis methods. Brain-age delta, which is the difference between a subject's predicted age and true age, has become a meaningful biomarker for the health of the brain. Here, we report the details of our brain age prediction models and results in the Predictive Analysis Challenge 2019. The aim of the chal…

Artificial Intelligence (1 obra) · Computer Science (1 obra) · Convolutional neural network (1 obra) · Domain Adaptation and Few-Shot Learning (1 obra) · Functional Brain Connectivity Studies (1 obra) · Machine learning (1 obra) · Margin (machine learning (1 obra) · Neonatal and fetal brain pathology (1 obra)

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