dcm2nii DICOM to NIfTI converter: compiled versions available from NITRC

Alzheimer's Disease Prediction by using ResNet, AlexNet

A deep learning based approach for brain tumor MRI segmentation.

A NIfTI (nii.gz) 3D Visualizer using VTK and Qt5

Convert NIfTI volume to triangulated mesh using marching cubes

RESTful PACS server with plugins

Prostate MR Image Segmentation 2012

Deep learning based skull stripping and FLAIR abnormality segmentation in brain MRI using U-Net

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Harmonization of multi-site imaging data with ComBat (Python)

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

Multi-modal medical image fusion to detect brain tumors using MRI and CT images

Segmentation for vertebra in MR images

Utilities to download and load an MRI brain tumor dataset with Python, providing 2D slices, tumor masks and tumor classes.

Developing a UNet3D model for accurate MRI skull stripping using the Calgary Campinas 359 dataset, enhancing neuroimaging preprocessing workflows.

⚕️ An educational tool to visualise k-space and aid the understanding of MRI image generation

Julia module for reading/writing NIfTI MRI files

A Tensorflow implementation of SegNet for cardiac MRI segmentation

VisualQC : assistive tool to ease the quality control workflow of neuroimaging data.

Convolutional AutoEncoder application on MRI images