nipy

Status: Planning

Brought to you by: arokem, garyfallidis, gorgolewski, jarrodmillman, and 3 others

Downloads: 0 This Week

Last Update: 2013-05-22

Get an email when there's a new version of nipy

The neuroimaging in python (NIPY) project is an environment for the analysis of structural and functional neuroimaging data. It currently has a full system for general linear modeling of functional magnetic resonance imaging (fMRI).

Project Activity

See All Activity >

License

BSD License

Follow nipy

Other Useful Business Software

Easily Host LLMs and Web Apps on Cloud Run Icon

Easily Host LLMs and Web Apps on Cloud Run

Run everything from popular models with on-demand NVIDIA L4 GPUs to web apps without infrastructure management.

Run frontend and backend services, batch jobs, host LLMs, and queue processing workloads without the need to manage infrastructure. Cloud Run gives you on-demand GPU access for hosting LLMs and running real-time AI—with 5-second cold starts and automatic scale-to-zero so you only pay for actual usage. New customers get $300 in free credit to start.

Try Cloud Run Free

Rate This Project

Login To Rate This Project

User Reviews

Be the first to post a review of nipy!

Additional Project Details

Intended Audience

Developers, Science/Research

Programming Language

Registered

2009-07-15

Report inappropriate content

Recommended Projects

Region-based spatial normalization
Region-based spatial normalization (RBSN) for functional MRI.
Blox
The purpose of the project is to develop a quantitative medical imaging & visualization program for use on brain MR, DTI and MRS data. It is a joint project of the Kennedy Krieger Institute & the Johns Hopkins University, Psychiatric Neuroimaging Lab
MELAGE
MELAGE is a neuroimaging software developed for visualizing and processing medical images, both Ultrasound and Magnetic Resonance Images (MRIs). Specially it has been prepared for neuroimaging of newborns, it is a versatile platform that allows the visualization of many types of medical images. It allows to load two, three and four-dimensional images of both techniques and in the case of 3D images it allows the simultaneous visualization of the three orthogonal planes which facilitates the localization of the regions of interest. It has been developed in Python with a user-friendly interface for healthcare personnel. Thanks to Artificial Intelligence and deep learning methods, MELAGE has tools to estimate volumes of different regions of interest in both images. Moreover, it allows to perform linear, area and volumetric measurements in a very intuitive and easy way, being able to instantly see the segmented region in a new tab. Please see https://melage.uca.es/
ODIN
develop, simulate and run magnetic resonance sequences
SIMRI
SIMRI: a versatile and interactive Magnetic Resonance Imaging (MRI) simulator. Such a simulator is a command line software written in C that reproduces the physical phenomenas encountered during an MRI acquisition to produce a realistic MRI image.