Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Advantages of using both voxel-and surface-based morphometry in cortical morphology analysis: a review of various applications
Surface-based morphometry (SBM) is extremely useful for estimating the indices of cortical
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …
morphology, such as volume, thickness, area, and gyrification, whereas voxel-based …
Brain structural and functional connectivity: A review of combined works of diffusion magnetic resonance imaging and electro-encephalography
P Babaeeghazvini, LM Rueda-Delgado… - Frontiers in Human …, 2021 - frontiersin.org
Implications of structural connections within and between brain regions for their functional
counterpart are timely points of discussion. White matter microstructural organization and …
counterpart are timely points of discussion. White matter microstructural organization and …
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 …
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 …
An improved neuroanatomical model of the default-mode network reconciles previous neuroimaging and neuropathological findings
The brain is constituted of multiple networks of functionally correlated brain areas, out of
which the default-mode network (DMN) is the largest. Most existing research into the DMN …
which the default-mode network (DMN) is the largest. Most existing research into the DMN …
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 …
3d self-supervised methods for medical imaging
Self-supervised learning methods have witnessed a recent surge of interest after proving
successful in multiple application fields. In this work, we leverage these techniques, and we …
successful in multiple application fields. In this work, we leverage these techniques, and we …
Mechanical characterization of human brain tissue
Mechanics are increasingly recognized to play an important role in modulating brain form
and function. Computational simulations are a powerful tool to predict the mechanical …
and function. Computational simulations are a powerful tool to predict the mechanical …
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 …
Visualization of Brain Statistics With R Packages ggseg and ggseg3d
There is an increased emphasis on visualizing neuroimaging results in more intuitive ways.
Common statistical tools for dissemination of these results, such as bar charts, lack the …
Common statistical tools for dissemination of these results, such as bar charts, lack the …