Encoding brain networks through geodesic clustering of functional connectivity for multiple sclerosis classification
An important task in brain connectivity research is the classification of patients from healthy
subjects. In this work, we present a two-step mathematical framework allowing to …
subjects. In this work, we present a two-step mathematical framework allowing to …
A meta-analysis of machine learning classification tools using rs-fmri data for autism spectrum disorder diagnosis
CP Santana - 2021 - repositorio.unifei.edu.br
The Autism Spectrum Disorder (ASD) is a complex and heterogeneous neurodevelopmental
condition characterized by cognitive, behavioral, and social dysfunction. Much effort is being …
condition characterized by cognitive, behavioral, and social dysfunction. Much effort is being …
Discriminative log-Euclidean kernels for learning on brain networks
J Young, D Lei, A Mechelli - … : First International Workshop, CNI 2017, Held …, 2017 - Springer
The increasing availability of functional Magnetic Resonance Imaging (fMRI) has led to a
number of studies of brain networks with the aim of developing computer aided diagnosis of …
number of studies of brain networks with the aim of developing computer aided diagnosis of …
Analysis of dynamic brain connectivity through geodesic clustering
Abstract Analysis of dynamic functional connectivity allows for studying the time variant
behavior of brain connectivity during specific tasks or at rest. There is, however, a debate …
behavior of brain connectivity during specific tasks or at rest. There is, however, a debate …
Investigating Brain Functional Networks in a Riemannian Framework
MA Yamin - 2021 - tesidottorato.depositolegale.it
The brain is a complex system of several interconnected components which can be
categorized at different Spatio-temporal levels, evaluate the physical connections and the …
categorized at different Spatio-temporal levels, evaluate the physical connections and the …
Identificação de regiões do cérebro para classificação de severidade do TEA utilizando Machine Learning e fMRI
ID Rodrigues - 2021 - repositorio.unifei.edu.br
Resumo O Transtorno do Espectro Autista (TEA) é uma condição neurológica vitalícia
relacionada à idade e ao sexo, caracterizada principalmente por disparidades sociais. A …
relacionada à idade e ao sexo, caracterizada principalmente por disparidades sociais. A …
[PDF][PDF] Developing neuroimaging biomarkers for neurodegeneration and ageing using machine learning methods
Z Arya - 2019 - ora.ox.ac.uk
In this thesis, we present three novel methods based on machine learning for use with MRI-
derived neuroimaging data, all with the aim of aiding biomarker development for …
derived neuroimaging data, all with the aim of aiding biomarker development for …
A NEUROANATOMOPHYSIOLOGICAL APPROACH TO THE “FORMATION & EXPRESSION” OF PERSONALITY & PSYCHOPATOLOGY
L Antikacioglu - 2016 - earsiv.uskudar.edu.tr
Despite the advancements in neurosciences, there are still, only a few Personality Theories,
making use of neuropsychology. In the present paper, we tried to propose a …
making use of neuropsychology. In the present paper, we tried to propose a …
A NEUROANATOMOPHYSIOLOGICAL APPROACH TO THE “FORMATION & EXPRESSION” OF PERSONALITY & PSYCHOPATOLOGY
N Tarhan, L Antikacioglu - 2016 - earsiv.uskudar.edu.tr
Despite the advancements in neurosciences, there are still, only a few Personality Theories,
making use of neuropsychology. In the present paper, we tried to propose a …
making use of neuropsychology. In the present paper, we tried to propose a …
[PDF][PDF] Modelling effective brain connectivity using manifolds in optical functional neuroimaging
The development of analytical approaches for decoding brain's effective connectivity from
neuroimages remains open to improvement as existing model assumptions depart from …
neuroimages remains open to improvement as existing model assumptions depart from …