Deep learning in large and multi-site structural brain MR imaging datasets

M Bento, I Fantini, J Park, L Rittner… - Frontiers in …, 2022 - frontiersin.org
Large, multi-site, heterogeneous brain imaging datasets are increasingly required for the
training, validation, and testing of advanced deep learning (DL)-based automated tools …

OASIS-3: longitudinal neuroimaging, clinical, and cognitive dataset for normal aging and Alzheimer disease

PJ LaMontagne, TLS Benzinger, JC Morris, S Keefe… - medrxiv, 2019 - medrxiv.org
ABSTRACT OASIS-3 is a compilation of MRI and PET imaging and related clinical data for
1098 participants who were collected across several ongoing studies in the Washington …

Whole brain magnetic resonance image atlases: a systematic review of existing atlases and caveats for use in population imaging

DA Dickie, SD Shenkin, D Anblagan, J Lee… - Frontiers in …, 2017 - frontiersin.org
Brain MRI atlases may be used to characterize brain structural changes across the life
course. Atlases have important applications in research, eg, as registration and …

A database of age-appropriate average MRI templates

JE Richards, C Sanchez, M Phillips-Meek, W Xie - Neuroimage, 2016 - Elsevier
This article summarizes a life-span neurodevelopmental MRI database. The study of
neurostructural development or neurofunctional development has been hampered by the …

Improving model-based functional near-infrared spectroscopy analysis using mesh-based anatomical and light-transport models

AP Tran, S Yan, Q Fang - Neurophotonics, 2020 - spiedigitallibrary.org
Significance: Functional near-infrared spectroscopy (fNIRS) has become an important
research tool in studying human brains. Accurate quantification of brain activities via fNIRS …

A comparison of publicly available linear MRI stereotaxic registration techniques

M Dadar, VS Fonov, DL Collins… - Neuroimage, 2018 - Elsevier
Introduction Linear registration to a standard space is one of the major steps in processing
and analyzing magnetic resonance images (MRIs) of the brain. Here we present an …

[HTML][HTML] Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

AM Radwan, L Emsell, J Blommaert, A Zhylka… - NeuroImage, 2021 - Elsevier
Brain atlases and templates are at the heart of neuroimaging analyses, for which they
facilitate multimodal registration, enable group comparisons and provide anatomical …

Individual differences in neuroanatomy and neurophysiology predict effects of transcranial alternating current stimulation

TP Zanto, KT Jones, AE Ostrand, WY Hsu… - Brain stimulation, 2021 - Elsevier
Background Noninvasive transcranial electrical stimulation (tES) research has been
plagued with inconsistent effects. Recent work has suggested neuroanatomical and …

Brains for all the ages: structural neurodevelopment in infants and children from a life-span perspective

JE Richards, W Xie - Advances in child development and behavior, 2015 - Elsevier
Magnetic resonance imaging (MRI) is a noninvasive method to measure brain structure and
function that may be applied to human participants of all ages. This chapter reviews our …

Histogram-based normalization technique on human brain magnetic resonance images from different acquisitions

X Sun, L Shi, Y Luo, W Yang, H Li, P Liang, K Li… - Biomedical engineering …, 2015 - Springer
Background Intensity normalization is an important preprocessing step in brain magnetic
resonance image (MRI) analysis. During MR image acquisition, different scanners or …