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Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation
Multimodal fusion in neuroimaging combines data from multiple imaging modalities to
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …
overcome the fundamental limitations of individual modalities. Neuroimaging fusion can …
Multi-atlas segmentation of biomedical images: a survey
Abstract Multi-atlas segmentation (MAS), first introduced and popularized by the pioneering
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
work of Rohlfing, et al.(2004), Klein, et al.(2005), and Heckemann, et al.(2006), is becoming …
Psychedelic effects of psilocybin correlate with serotonin 2A receptor occupancy and plasma psilocin levels
The main psychedelic component of magic mushrooms is psilocybin, which shows promise
as a treatment for depression and other mental disorders. Psychedelic effects are believed …
as a treatment for depression and other mental disorders. Psychedelic effects are believed …
DeepNAT: Deep convolutional neural network for segmenting neuroanatomy
We introduce DeepNAT, a 3D Deep convolutional neural network for the automatic
segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is …
segmentation of NeuroAnaTomy in T1-weighted magnetic resonance images. DeepNAT is …
Lung segmentation in chest radiographs using anatomical atlases with nonrigid registration
The National Library of Medicine (NLM) is develo** a digital chest X-ray (CXR) screening
system for deployment in resource constrained communities and develo** countries …
system for deployment in resource constrained communities and develo** countries …
Research criteria for the behavioral variant of Alzheimer disease: a systematic review and meta-analysis
Importance The behavioral variant of Alzheimer disease (bvAD) is characterized by early
and predominant behavioral deficits caused by AD pathology. This AD phenotype is …
and predominant behavioral deficits caused by AD pathology. This AD phenotype is …
QuickNAT: A fully convolutional network for quick and accurate segmentation of neuroanatomy
Whole brain segmentation from structural magnetic resonance imaging (MRI) is a
prerequisite for most morphological analyses, but is computationally intense and can …
prerequisite for most morphological analyses, but is computationally intense and can …
A single psilocybin dose is associated with long-term increased mindfulness, preceded by a proportional change in neocortical 5-HT2A receptor binding
A single dose of the serotonin 2A receptor (5-HT2AR) agonist psilocybin can have long-
lasting beneficial effects on mood, personality, and potentially on mindfulness, but …
lasting beneficial effects on mood, personality, and potentially on mindfulness, but …
Effects of escitalopram on synaptic density in the healthy human brain: a randomized controlled trial
Selective serotonin reuptake inhibitors (SSRIs) are widely used for treating neuropsychiatric
disorders. However, the exact mechanism of action and why effects can take several weeks …
disorders. However, the exact mechanism of action and why effects can take several weeks …
Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy
Quantitative research in neuroimaging often relies on anatomical segmentation of human
brain MR images. Recent multi-atlas based approaches provide highly accurate structural …
brain MR images. Recent multi-atlas based approaches provide highly accurate structural …