Quantifying uncertainty in brain network measures using Bayesian connectomics.

Janssen, Ronald J; Hinne, Max; Heskes, Tom; van Gerven, Marcel A J

Janssen, Ronald J; Hinne, Max; Heskes, Tom; van Gerven, Marcel A J.

Afiliação

Janssen RJ; Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Nijmegen, Netherlands.
Hinne M; Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Nijmegen, Netherlands ; Machine Learning Group, Institute for Computing and Information Sciences, Radboud University Nijmegen Nijmegen, Netherlands.
Heskes T; Machine Learning Group, Institute for Computing and Information Sciences, Radboud University Nijmegen Nijmegen, Netherlands.
van Gerven MA; Department of Artificial Intelligence, Donders Institute for Brain, Cognition and Behavior, Radboud University Nijmegen Nijmegen, Netherlands.

Front Comput Neurosci ; 8: 126, 2014.

Article em En | MEDLINE | ID: mdl-25339896

Palavras-chave

Bayesian inference; connectomics; diffusion weighted imaging; graph theory

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2014 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google