Software per la neuroimmagine

Pacchetti Upstream

I seguenti strumenti fanno parte dei software attualmente in fase di test su NeuroFedora e possono essere installati direttamente dai repository ufficiali (ad es. PyPi). È possibile consultare i risultati dei test [qui]:https://ankursinha.fedorapeople.org/neurofedora/package-status/latest/.

Pacchetti Python

Software Summary pip (PyPi) Notes

dipy

Imaging MRI di diffusione in Python.

dipy

| link:[mne(mne)

Progetto MNE-Python per l’analisi dei dati MEG e EEG.

mne

mne-bids

MNE-BIDS: Organizing MEG, EEG, and iEEG data according to the BIDS specification and facilitating their analysis with MNE-Python.

mne-bids

nilearn

Statistical learning for neuroimaging in Python.

nilearn

nipy

nilearn

Apprendimento statistico per neuroimaging in Python

nilearn

nipype

Neuroimaging in Python: Pipelines and Interfaces.

nipype

pybids

bids: interface with datasets conforming to BIDS.

pybids

wxnatpy

Pacchetti di sistema

I repository contengono quanto segue:

Software Install with Notes

Alizams

sudo dnf install alizams

A DICOM viewer.

DICOMAnonymizer

sudo dnf install dicomanonymizer

A multi-threaded anonymizer for DICOM files implementing most of DICOM PS 3.15 AnnexE

dipy

sudo dnf install python3-dipy

Diffusion MRI utilities in Python.

ephyviewer

sudo dnf install python3-ephyviewer

A Python library based on pyqtgraph for building custom viewers for electrophysiological signals, video, events, epochs, spike trains, data tables, and time-frequency representations of signals.

fsleyes

sudo dnf install python3-fsleyes

FSLeyes, the FSL image viewer.

gifticlib

sudo dnf install gifticlib

Reference IO implementation for GIFTI

giftiio

sudo dnf install python3-giftiio

Python library for working with GIFTI.

jnifti

sudo dnf install octave-jnifti

A fast NIfTI-1/2 reader and NIfTI-to-JNIfTI converter

nilearn

sudo dnf install python3-nilearn

Python module for fast and easy statistical learning on NeuroImaging data.

nistats

sudo dnf install python3-nistats

Modeling and Statistical analysis of fMRI data in Python.

octave-dicom

sudo dnf install octave-dicom

dicom: file io for medical images and other data.

pybids

sudo dnf install python3-pybids

Interface with datasets conforming to BIDS.

petlink

sudo dnf install python3-petlink

Decode and encode Petlink data streams (32 and 64 bit).

pynetdicom

sudo dnf install python3-pynetdicom

A Python implementation of the DICOM networking protocol.

I software in coda per l’inclusione sono elencati al link: qui.

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