[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

[unmaintained] This repository hosts NiftyNet networks pre-trained for specific tasks

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Tutorial about combining PyTorch and NiftyNet for deep learning and medical image computing

No description available

Neonate segmentation project at NIRAL, UNC, with Dr. Martin Styner.

NiftyNet-based implementation of the Autofocus Layer for semantic segmentation.

No description available

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

Code, slides, and examples of how to augment image-based deep learning problems using the method described by Uzonova et al. (2017)

NiftyNet-based implementation of Autofocus Net and Autofocus Layer.

NiftyNet Copy

Local NiftyNet repo

NiftyNet implementation of histogram standardization, isolated from NiftyNet for convenience.

NiftyNet website source code

Niftynet GPU singularity container

Analyzing the NIFTY stock market volatility using Network properties

Temporary repository for the NiftyNet public website.

No description available

NiftyNet is a TensorFlow-based open-source convolutional neural networks (CNN) platform for research in medical image analysis and image-guided therapy. NiftyNet's modular structure is designed for sharing networks and pre-trained models.

Adapted NiftNet

this holds the jupyter/tensorflow docker image with niftyNet

No description available

No description available

No description available

No description available

No description available

Dependencies container for hippocampal_autotop (niftynet, minified fsl/ants, c3d, mcr)

No description available

Preprocessing layer for image augmentation in neuronal networks based on the NiftyNet framework