The use of machine learning and deep learning algorithms in functional magnetic resonance imaging—A systematic review
Abstract Functional Magnetic Resonance Imaging (fMRI) is presently one of the most
popular techniques for analysing the dynamic states in brain images using various kinds of …
popular techniques for analysing the dynamic states in brain images using various kinds of …
A Comprehensive Literature Review of Application of Artificial Intelligence in Functional Magnetic Resonance Imaging for Disease Diagnosis
ABSTRACT Functional Magnetic Resonance Imaging (FMRI) is a noninvasive test to
analyze several medical ailments by using magnetic resonance imaging (MRI) to detect the …
analyze several medical ailments by using magnetic resonance imaging (MRI) to detect the …
Network comparisons and their applications in connectomics
NS D'Souza, A Venkataraman - Connectome Analysis, 2023 - Elsevier
Over the past decade, there has been a growing emphasis on neuroscience to analyze the
human brain from the perspective of complex networks. Here, connectomics, or the study of …
human brain from the perspective of complex networks. Here, connectomics, or the study of …
Examination of the Neurobiological Underpinnings and Cognitive Correlates of Psychopathy
RKB Hamilton - 2019 - search.proquest.com
In the domain of psychopathy, prevailing models reflect an artificial dichotomy between
affective and attention components of psychopathic dysfunction, contributing to a gap in the …
affective and attention components of psychopathic dysfunction, contributing to a gap in the …
CURRENT POSITION (S)
M COLLABORATIONS, C BREAKS - unav.edu
Curriculum Vitae (max. 3 pages) PERSONAL INFORMATION Family name, First name:
Researcher unique identifier(s) (such as ORCID, Research ID, etc. ...): Date of birth: Nationality …
Researcher unique identifier(s) (such as ORCID, Research ID, etc. ...): Date of birth: Nationality …