Sex differences in brain and behavior in adolescence: Findings from the Philadelphia Neurodevelopmental Cohort
Sex differences in brain and behavior were investigated across the lifespan. Parameters
include neurobehavioral measures linkable to neuroanatomic and neurophysiologic …
include neurobehavioral measures linkable to neuroanatomic and neurophysiologic …
[HTML][HTML] SynthStrip: skull-stripping for any brain image
The removal of non-brain signal from magnetic resonance imaging (MRI) data, known as
skull-stripping, is an integral component of many neuroimage analysis streams. Despite their …
skull-stripping, is an integral component of many neuroimage analysis streams. Despite their …
Evolution of human brain atlases in terms of content, applications, functionality, and availability
WL Nowinski - Neuroinformatics, 2021 - Springer
Human brain atlases have been evolving tremendously, propelled recently by brain big
projects, and driven by sophisticated imaging techniques, advanced brain mapping …
projects, and driven by sophisticated imaging techniques, advanced brain mapping …
MUSE: MUlti-atlas region Segmentation utilizing Ensembles of registration algorithms and parameters, and locally optimal atlas selection
Atlas-based automated anatomical labeling is a fundamental tool in medical image
segmentation, as it defines regions of interest for subsequent analysis of structural and …
segmentation, as it defines regions of interest for subsequent analysis of structural and …
ANHIR: automatic non-rigid histological image registration challenge
Automatic Non-rigid Histological Image Registration (ANHIR) challenge was organized to
compare the performance of image registration algorithms on several kinds of microscopy …
compare the performance of image registration algorithms on several kinds of microscopy …
[HTML][HTML] Infant FreeSurfer: An automated segmentation and surface extraction pipeline for T1-weighted neuroimaging data of infants 0–2 years
The development of automated tools for brain morphometric analysis in infants has lagged
significantly behind analogous tools for adults. This gap reflects the greater challenges in …
significantly behind analogous tools for adults. This gap reflects the greater challenges in …
An anatomically detailed and personalizable head injury model: Significance of brain and white matter tract morphological variability on strain
Finite element head (FE) models are important numerical tools to study head injuries and
develop protection systems. The generation of anatomically accurate and subject-specific …
develop protection systems. The generation of anatomically accurate and subject-specific …
Multisite machine learning analysis provides a robust structural imaging signature of schizophrenia detectable across diverse patient populations and within …
Past work on relatively small, single-site studies using regional volumetry, and more recently
machine learning methods, has shown that widespread structural brain abnormalities are …
machine learning methods, has shown that widespread structural brain abnormalities are …
Deformable image registration using a cue-aware deep regression network
Significance: Analysis of modern large-scale, multicenter or diseased data requires
deformable registration algorithms that can cope with data of diverse nature. Objective: We …
deformable registration algorithms that can cope with data of diverse nature. Objective: We …
Individualized differential diagnosis of schizophrenia and mood disorders using neuroanatomical biomarkers
N Koutsouleris, EM Meisenzahl, S Borgwardt… - Brain, 2015 - academic.oup.com
Magnetic resonance imaging-based markers of schizophrenia have been repeatedly shown
to separate patients from healthy controls at the single-subject level, but it remains unclear …
to separate patients from healthy controls at the single-subject level, but it remains unclear …