Neuroimaging analysis and visualization suite
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Aug 7, 2021 - C++
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freesurfer
Here are 38 public repositories matching this topic...
Code for DARTS: DenseUnet-based Automatic Rapid Tool for brain Segmentation
deep-learning
pytorch
artificial-intelligence
medical-imaging
unet
brain-mri
freesurfer
brain-segmentation
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May 23, 2020 - Jupyter Notebook
VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.
quality-control
neuroscience
medical-imaging
registration
alignment
neuroimaging
outlier-detection
fmri
mri-images
cortex
qc
outlier-removal
anatomical-mri
freesurfer
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Jun 9, 2021 - Python
Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data
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Mar 17, 2021 - R
GNU R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data, e.g. cortical thickness, for individual subjects and groups.
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Jul 30, 2021 - R
Subject-wise networks from structural MRI (thickness, GM density, curvature, gyrification)
machine-learning
graph
neuroscience
vbm
feature-extraction
neuroimaging
network-analysis
gray-matter
anatomical-mri
cortical-network
freesurfer
voxel-based
structural-mri
cortical-thickness
thickness
mindboggle
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Apr 1, 2021 - Jupyter Notebook
GNU R package for reading and writing neuroimaging file formats.
r
research
label
voxel
mri
mesh
neuroimaging
brain
surface
parcellation
dti
freesurfer
brain-atlas
mgh
brain-surfaces
fileformats
curv
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Jul 7, 2021 - R
Pipeline for Analysing Lesions after Stroke (PALS) is a scalable and user-friendly toolbox designed to facilitate standardised analysis and ensure quality in stroke research using T1-weighted MRIs
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Jul 26, 2021 - Python
A python module designed to reduce your brain load while accessing FreeSurfer brain surface and morphometry data files of single subjects and groups.
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Apr 14, 2021 - Python
SphericalLabeling: Cortical Surface Labeling using Spherical Data Augmentation and Context-aware Training
sphere
spherical-harmonics
cortical-surfaces
data-augmentation
freesurfer
spherical-cnn
surface-registration
context-aware-training
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Jun 6, 2021 - Python
Code for Chapter 19 - A Step-By-Step Tutorial On How To Build A Machine Learning Model
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Nov 22, 2019 - Jupyter Notebook
Software Tool for the Analysis and Visualization of MRI images of the brain
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Jun 6, 2021 - R
Handling of structural neuroimaging file formats for Rust.
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Apr 9, 2021 - Rust
Handling of structural neuroimaging file formats for Julia.
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Jun 4, 2021 - Julia
Data & Code for "The hidden identity of faces: A case of lifelong prosopagnosia"
analysis
data-analysis
face-recognition
fmri
bielefeld
familiarity
freesurfer
martin
famous-faces
emotion-expressions
prosopagnosia
face-blindness
fusiform-gyrus
face-attractiveness
familiarity-context
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Jan 24, 2019 - Jupyter Notebook
Python Library to Read and Write Surface Files in Freesurfer's TriangularSurface Format
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Jul 30, 2021 - Python
Python Library to Read FreeSurfer's Cortical Parcellation Anatomical Statistics
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Jul 9, 2021 - Python
A header-only, no-dependency, C++11 library for accessing FreeSurfer neuroimaging file formats.
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Aug 5, 2021 - C++
Python script & library to read hippocampal volumes computed by Freesurfer & ASHS
pandas-dataframe
neuroimaging
volumes
mri-images
brain
hippocampus
freesurfer
hippocampal-subfields
ashs
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Jul 30, 2021 - Python
Anonymization of freesurfer output based on metadata dropping and defacing.
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Feb 24, 2020 - Shell
Neuroimaging analysis and visualization suite
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Apr 11, 2021 - C++
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Mar 16, 2018 - Mercury
A Pegasus workflow for running FreeSurfer on the Open Science Grid
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Dec 18, 2020 - Python
Homepage for ShinySurfer
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Jun 6, 2021 - HTML
Custom Matlab functions for running analyses with FreeSurfer, CoSMoMVPA, HCP pipeline (and SamSrf)...
matlab
data-visualization
matlab-functions
surface
multivariate-analysis
freesurfer
cosmomvpa
univariate-analysis
hcp-pipeline
samsrf
multivariate-pattern-analysis
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Jul 1, 2021 - MATLAB
Docker image that provides a Ubuntu 16.04 (Xenial) with all CMP pre-requisite software installed
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Aug 20, 2018 - Dockerfile
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Following our work on migrating interactive prompts to Click, some shortcomings regarding the current user experience wrt to interactivity surfaced.
Some pipelines provide the caller with the ability to set some parameters in an interactive fashion, which does not play nice with cluster usage where prompts may hang execution indefinitely. One pi