Advancing the cancer genome atlas glioma MRI collections with expert segmentation labels and radiomic features
Gliomas belong to a group of central nervous system tumors, and consist of various sub-
regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for …
regions. Gold standard labeling of these sub-regions in radiographic imaging is essential for …
ICA-AROMA: A robust ICA-based strategy for removing motion artifacts from fMRI data
Head motion during functional MRI (fMRI) scanning can induce spurious findings and/or
harm detection of true effects. Solutions have been proposed, including deleting …
harm detection of true effects. Solutions have been proposed, including deleting …
Correspondence of the brain's functional architecture during activation and rest
Neural connections, providing the substrate for functional networks, exist whether or not they
are functionally active at any given moment. However, it is not known to what extent brain …
are functionally active at any given moment. However, it is not known to what extent brain …
A Bayesian model of shape and appearance for subcortical brain segmentation
Automatic segmentation of subcortical structures in human brain MR images is an important
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …
but difficult task due to poor and variable intensity contrast. Clear, well-defined intensity …
An improved framework for confound regression and filtering for control of motion artifact in the preprocessing of resting-state functional connectivity data
Several recent reports in large, independent samples have demonstrated the influence of
motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI …
motion artifact on resting-state functional connectivity MRI (rsfc-MRI). Standard rsfc-MRI …
Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging
Deep brain stimulation (DBS) is a highly efficacious treatment option for movement disorders
and a growing number of other indications are investigated in clinical trials. To ensure …
and a growing number of other indications are investigated in clinical trials. To ensure …
A deep learning approach for automated diagnosis and multi-class classification of Alzheimer's disease stages using resting-state fMRI and residual neural networks
Alzheimer's disease (AD) is an incurable neurodegenerative disorder accounting for 70%–
80% dementia cases worldwide. Although, research on AD has increased in recent years …
80% dementia cases worldwide. Although, research on AD has increased in recent years …
Dynamic reconfiguration of human brain networks during learning
Human learning is a complex phenomenon requiring flexibility to adapt existing brain
function and precision in selecting new neurophysiological activities to drive desired …
function and precision in selecting new neurophysiological activities to drive desired …