tpatpa

bids-examples

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

bids-specification

Brain Imaging Data Structure (BIDS) Specification

bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

bpc_jupyter

bpc_jupyter_archive

Jupyter notebook for the basis profile curves

connectivityml

This is the github repository for the NeuroHackademy Hackathon project week, exploring machine learning on resting state connectivity matrices on HCP dataset.

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

hed-examples

Example Python, Matlab, and Jupyter notebook code using HED (Hierarchical Event Descriptors). Includes BIDS-compatible test datasets.

HED-LLM

hed-schema-library

Repository holding HED library schema

tpatpa/bids-examples

A set of BIDS compatible datasets with empty raw data files that can be used for writing lightweight software tests.

tpatpa/hed-schema-library

Repository holding HED library schema

tpatpa/bids-specification

Brain Imaging Data Structure (BIDS) Specification

tpatpa/bids-starter-kit

Collection of tutorials, wikis, and templates to get you started with creating BIDS compliant datasets

tpatpa/bpc_jupyter

tpatpa/bpc_jupyter_archive

Jupyter notebook for the basis profile curves

tpatpa/connectivityml

This is the github repository for the NeuroHackademy Hackathon project week, exploring machine learning on resting state connectivity matrices on HCP dataset.

tpatpa/dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.

tpatpa/hed-examples

Example Python, Matlab, and Jupyter notebook code using HED (Hierarchical Event Descriptors). Includes BIDS-compatible test datasets.

tpatpa/HED-LLM

tpatpa/hed-python

Python code for web validation and other hedtools implemented in python

tpatpa/hed-specification

Hierarchical Event Descriptor (HED) specification

tpatpa/nsd_hed_labels

HED labels of NSD images

tpatpa/qsiprep

Preprocessing and reconstruction of diffusion MRI

tpatpa/tutorial-template

Template for the Read the Docs tutorial