[HTML][HTML] U-net model for brain extraction: Trained on humans for transfer to non-human primates

X Wang, XH Li, JW Cho, BE Russ, N Rajamani… - Neuroimage, 2021 - Elsevier
Brain extraction (aka skull stripping) is a fundamental step in the neuroimaging pipeline as it
can affect the accuracy of downstream preprocess such as image registration, tissue …

Longitudinal manganese‐enhanced magnetic resonance imaging of neural projections and activity

TW Uselman, CS Medina, HB Gray… - NMR in …, 2022 - Wiley Online Library
Manganese‐enhanced magnetic resonance imaging (MEMRI) holds exceptional promise
for preclinical studies of brain‐wide physiology in awake‐behaving animals. The objectives …

Deep learning-based automated lesion segmentation on mouse stroke magnetic resonance images

J An, L Wendt, G Wiese, T Herold, N Rzepka… - Scientific Reports, 2023 - nature.com
Magnetic resonance imaging (MRI) is widely used for ischemic stroke lesion detection in
mice. A challenge is that lesion segmentation often relies on manual tracing by trained …

Fully automated whole brain segmentation from rat MRI scans with a convolutional neural network

VA Porter, BA Hobson, B Foster, PJ Lein… - Journal of Neuroscience …, 2024 - Elsevier
Background Whole brain delineation (WBD) is utilized in neuroimaging analysis for data
preprocessing and deriving whole brain image metrics. Current automated WBD techniques …

Evaluating U-net Brain Extraction for Multi-site and Longitudinal Preclinical Stroke Imaging

E Tarakci, J Mandeville, F Hyder… - arXiv preprint arXiv …, 2022 - arxiv.org
Rodent stroke models are important for evaluating treatments and understanding the
pathophysiology and behavioral changes of brain ischemia, and magnetic resonance …

[图书][B] Neural network based analysis of resting-state functional magnetic resonance imaging data

L Wang - 2020 - search.proquest.com
Functional magnetic resonance imaging (fMRI) measures brain activity through the blood-
oxygen-level-dependent (BOLD) signal, which has been widely used to study the human …