dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

AMI Medical Imaging (AMI) JS ToolKit

Medical image processing in Python

Convert NIfTI volume to triangulated mesh using marching cubes

Simple medical imaging visualization tool designed for NIfTI images. Includes dcm2nii for conversion of DICOM, Philips, and other proprietary formats.

nii2dcm: NIfTI to DICOM creation with Python

DEPRECATED development has moved to https://github.com/rordenlab/MRIcroGL

Repository containing the code of one of the networks that we employed in the iSEG Grand MICCAI Challenge 2017, infant brain segmentation.

Fast R and C++ access to NIfTI images

Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

Rust implementation of the NIfTI-1 format

NIfTI volume rendering using WebGL

Online NIfTI voxels to triangulated mesh conversion

In this project I develop a deep learning CNN model to predict Alzheimer's disease using 3D MRI medical images of the Hippocampus region of the brain.

A python package for DICOM to NifTi and NifTi to DICOM-SEG and GSPS conversion

A basic library for reading, writing and manipulating NIfTI files.

Standalone NIfTI file parser

Quick and easy NIfTI/BV viewer

Nifticlib is a C I/O library for reading and writing files in the nifti-1 data format. nifti-1 is a binary file format for storing medical image data, e.g. magnetic resonance image (MRI) and functional MRI (fMRI) brain images.

This program will take in MRI images in the NIFTI format and display them on the screen. The user will draw a closed contour around specified areas of fat at multiple axial slices. These results are saved in a file to be validated with the VisceralFatSegmentation program. This program is created using Qt and C++.