Pinned Repositories
abcd-hcp-pipeline
bids application for processing functional MRI data, robust to scanner, acquisition and age variability.
AI-Astar-lisp
A* algorithm implementation of the 8-puzzle, and cannibals and missionaries problem
bids-app-host
An S3/ECS wrapper container for managing BIDS apps on ECS clusters.
bids-validator
Validator for the Brain Imaging Data Structure
BIDS_scripts
BIDShcppipelines_status
CABINET_BIBSnet_modification
This BIDS App provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model for the purposes of circumventing JLF within Nibabies.
Computational-Techniques-in-Genomics
CORTADO
MiDB-CBRAIN-Integration
tjhendrickson's Repositories
tjhendrickson/BIDS_scripts
tjhendrickson/CORTADO
tjhendrickson/MiDB-CBRAIN-Integration
tjhendrickson/abcd-hcp-pipeline
bids application for processing functional MRI data, robust to scanner, acquisition and age variability.
tjhendrickson/bids-app-host
An S3/ECS wrapper container for managing BIDS apps on ECS clusters.
tjhendrickson/bids-validator
Validator for the Brain Imaging Data Structure
tjhendrickson/BIDShcppipelines_status
tjhendrickson/CABINET_BIBSnet_modification
This BIDS App provides the utility of creating a nnU-Net anatomical MRI segmentation and mask with a infant brain trained model for the purposes of circumventing JLF within Nibabies.
tjhendrickson/connectome_conv_net
Connectome-convolutional neural netvork for connectivity-based classificatin
tjhendrickson/CorticalFlow
tjhendrickson/dcan-nn-unet
Utility programs created for using nn-UNet on ABCD data.
tjhendrickson/dcan_bold_processing
functional connectivity preprocessing for resting state fMRI outputs of the dcan-fmri-pipelines
tjhendrickson/DeepReg
Medical image registration using deep learning
tjhendrickson/dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
tjhendrickson/docker-cbrain
Docker images for CBrain
tjhendrickson/fmriprep
fMRIprep is a functional magnetic resonance image pre-processing pipeline that is designed to provide an easily accessible, state-of-the-art interface that is robust to differences in scan acquisition protocols and that requires minimal user input, while providing easily interpretable and comprehensive error and output reporting.
tjhendrickson/functional-random-forest
Functional Analysis with Random Forests
tjhendrickson/gcn_tutorial_test
tjhendrickson/h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
tjhendrickson/heudiconv
A flexible DICOM converter for organizing brain imaging data into structured directory layouts
tjhendrickson/heudiconv-joss-paper
Repository to prepare HeuDiConv paper
tjhendrickson/MarginalModelCIFTI
tjhendrickson/neurodocker
Generate custom Docker and Singularity images, and minimize existing containers
tjhendrickson/nnUNet
tjhendrickson/OHBM2020_EEGCourse_Pernet-Puce
Slides, video & also data from Puce's talk in OHBM2020 Educational Course entitled: EEG data acquisition & appropriate data pre-processing: not so basic after all?
tjhendrickson/readthedocs.org
The source code that powers readthedocs.org
tjhendrickson/registration
Image Registration
tjhendrickson/simnibs
Simulation of Non-Invasive Brain Stimulation
tjhendrickson/SMLvsDL
tjhendrickson/voxelmorph
Unsupervised Learning for Image Registration