U-net model for brain extraction: Trained on humans for transfer to non-human primates
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Title
U-net model for brain extraction: Trained on humans for transfer to non-human primates
Authors
Keywords
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Journal
NEUROIMAGE
Volume 235, Issue -, Pages 118001
Publisher
Elsevier BV
Online
2021-03-28
DOI
10.1016/j.neuroimage.2021.118001
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Note: Only part of the references are listed.- Towards HCP-Style macaque connectomes: 24-Channel 3T multi-array coil, MRI sequences and preprocessing
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- Pypreclin: An automatic pipeline for macaque functional MRI preprocessing
- (2019) Jordy Tasserie et al. NEUROIMAGE
- atlasBREX: Automated template-derived brain extraction in animal MRI
- (2019) Johannes Lohmeier et al. Scientific Reports
- Bayesian convolutional neural network based MRI brain extraction on nonhuman primates
- (2018) Gengyan Zhao et al. NEUROIMAGE
- A population MRI brain template and analysis tools for the macaque
- (2018) Jakob Seidlitz et al. NEUROIMAGE
- Functional Connectivity within the Primate Extended Amygdala Is Heritable and Associated with Early-Life Anxious Temperament
- (2018) Andrew S. Fox et al. JOURNAL OF NEUROSCIENCE
- An Open Resource for Non-human Primate Imaging
- (2018) Michael P. Milham et al. NEURON
- fMRIPrep: a robust preprocessing pipeline for functional MRI
- (2018) Oscar Esteban et al. NATURE METHODS
- The real-time fMRI neurofeedback based stratification of Default Network Regulation Neuroimaging data repository
- (2017) Amalia R. McDonald et al. NEUROIMAGE
- Deep MRI brain extraction: A 3D convolutional neural network for skull stripping
- (2016) Jens Kleesiek et al. NEUROIMAGE
- DPABI: Data Processing & Analysis for (Resting-State) Brain Imaging
- (2016) Chao-Gan Yan et al. NEUROINFORMATICS
- The preprocessed connectomes project repository of manually corrected skull-stripped T1-weighted anatomical MRI data
- (2016) Benjamin Puccio et al. GigaScience
- Intergenerational neural mediators of early-life anxious temperament
- (2015) Andrew S. Fox et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Evolution of the Central Sulcus Morphology in Primates
- (2014) William D. Hopkins et al. BRAIN BEHAVIOR AND EVOLUTION
- The minimal preprocessing pipelines for the Human Connectome Project
- (2013) Matthew F. Glasser et al. NEUROIMAGE
- Cortical sulci asymmetries in chimpanzees and macaques: A new look at an old idea
- (2012) Stephanie L. Bogart et al. NEUROIMAGE
- FreeSurfer
- (2012) Bruce Fischl NEUROIMAGE
- BEaST: Brain extraction based on nonlocal segmentation technique
- (2011) Simon F. Eskildsen et al. NEUROIMAGE
- FSL
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- N4ITK: Improved N3 Bias Correction
- (2010) Nicholas J Tustison et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Amygdalar and hippocampal substrates of anxious temperament differ in their heritability
- (2010) Jonathan A. Oler et al. NATURE
- Symmetric diffeomorphic image registration with cross-correlation: Evaluating automated labeling of elderly and neurodegenerative brain
- (2007) B AVANTS et al. MEDICAL IMAGE ANALYSIS
- The impact of skull-stripping and radio-frequency bias correction on grey-matter segmentation for voxel-based morphometry
- (2007) Julio Acosta-Cabronero et al. NEUROIMAGE
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