R Markdown Cookbook. A range of tips and tricks to make better use of R Markdown.

R Interface to Keras

Keras implementation of U-Net using R

Lesion Identification with Neighborhood Data Analysis

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

NiiStat is a set of Matlab scripts for analyzing neuroimaging data from clinical populations

Lesion to Symptom Mapping in R

PALM: Permutation Analysis of Linear Models

Example docker containers for the WMH Segmentation Challenge

Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

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

BROCCOLI: Software for Fast fMRI Analysis on Many-Core CPUs and GPUs

winning method for WMH segmentation challenge in MICCAI 2017

Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

A general-purpose tool for dynamic report generation in R