Tools to help with the conversion of DICOM images, RT Structures, and dose to useful Python objects. Essentially DICOM to NumPy and SimpleITK Images

Utility functions for working with DICOM and BIDS neuroimaging data

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.

DICOM to NIfTI/BIDS validation script

Standalone NIfTI file parser

Anonymize different kinds of bio-medical data

DICOM to NIfTI/BIDS validation script for Philips DICOMs

DICOM validation dataset for United Imaging Healthcare ("UIH") MRI scanners

N5736-df345 [#Python-NeuroImaging] Deep Machine Learning (Collab with T Tokinawa, J S, et al)

DICOM to NIfTI/BIDS validation script

R package to create generative art from brain imaging data

NIftI provides coordinated and targeted service, training, and research to speed the development and enhance the utility of informatics tools related to neuroimaging. My application helps to read the both NIfTI-1 and NIfT1-2 file formats with .nii extension

Nifti image loader which is capable of asynchronously reading .nii files from disk and then displaying the image on an OpenGL texture.

This project is a single-page React application that loads and visualizes 3D NIfTI images using the NIfTI-Reader-JS library.

Display NIfTI image information in a tabular format

Quick script that uses dcm2niix to convert MRI DICOM files into NIFTI files for easier use. Created within the Dynamic Brain & Mind Lab @ Drexel University.

This script takes a single-labeled NIFTI file (.nii / .nii.gz) and converts it into a 3D mesh (.obj / .stl / .ply / .3ds).