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Published in 2018 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2017.08.021
Abstract: ABSTRACT This paper presents an open, multi‐vendor, multi‐field strength magnetic resonance (MR) T1‐weighted volumetric brain imaging dataset, named Calgary‐Campinas‐359 (CC‐359). The dataset is composed of images of older healthy adults (29–80 years) acquired on scanners…
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Keywords:
field strength;
field;
dataset;
skull stripping ... See more keywords
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Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2020.117649
Abstract: As non-human primates, macaques have a close phylogenetic relationship to human beings and have been proven to be a valuable and widely used animal model in human neuroscience research. Accurate skull stripping (aka. brain extraction)…
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Keywords:
domain invariant;
information;
skull stripping;
developing macaques ... See more keywords
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Published in 2021 at "NeuroImage"
DOI: 10.1016/j.neuroimage.2021.117734
Abstract: Skull-stripping and region segmentation are fundamental steps in preclinical magnetic resonance imaging (MRI) studies, and these common procedures are usually performed manually. We present Multi-task U-Net (MU-Net), a convolutional neural network designed to accomplish both…
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Keywords:
segmentation;
mri;
skull stripping;
brain ... See more keywords
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Published in 2022 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2022.801769
Abstract: Skull stripping is an initial and critical step in the pipeline of mouse fMRI analysis. Manual labeling of the brain usually suffers from intra- and inter-rater variability and is highly time-consuming. Hence, an automatic and…
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Keywords:
skull stripping;
mouse;
mouse fmri;
analysis ... See more keywords