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yoaman's Projects

app-ants-mni icon app-ants-mni

ANTs transformation and tractogram registration in MNI space, using as the reference template the MNI152 T1 at 1.25 mm. WARNING: all the given inputs should be in the same anatomical space.

arter icon arter

code for brain arteriolosclerosis GWAS

bias icon bias

bits of software for manipulating and analysing brain images in the nifti format

brainsmash icon brainsmash

Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

broomextra icon broomextra

Helpers for regression analyses using `{broom}` & `{easystats}` packages πŸ“ˆ πŸ”

c-pac icon c-pac

Configurable Pipeline for the Analysis of Connectomes

ciftify icon ciftify

The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets

clean icon clean

R package for CLEAN, CLEAN-R, and CLEAN-V

clinical icon clinical

Clinical Toolbox for SPM (https://www.nitrc.org/projects/clinicaltbx/)

coreg_qa icon coreg_qa

Methods for generating quality assurance images for 3D coregistration of brain images

ct_bet icon ct_bet

Robust Brain Extraction Tool for CT Head Images

deepbrainnet icon deepbrainnet

Convolutional Neural Network trained for age prediction using a large (n=11,729) set of MRI scans from a highly diversified cohort spanning different studies, scanners, ages, ethnicities and geographic locations around the world.

dgpa_workshop_2022 icon dgpa_workshop_2022

The repository for the ReproNim "Reproducible Neuroimaging" workshop, organized and conducted for the DGPA in spring 2022.

doubi icon doubi

δΈ€δΈͺι€—ζ―”ε†™ηš„ε„η§ι€—ζ―”θ„šζœ¬~

fifer icon fifer

a collection of R functions for data manipulation, data analysis, and plotting

firefox-52-esr-legacy-addon icon firefox-52-esr-legacy-addon

[WIP] A curated list and XPI files of Mozilla Firefox browser extensions, addons, themes from addons.mozilla.org, before XUL-based purge blackout

fsbrain-0.5.0 icon fsbrain-0.5.0

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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