Functions for the input/output and visualization of medical imaging data that follow either the ANALYZE, NIfTI or AFNI formats. This package is part of the Rigorous Analytics bundle.

Data input/output functions for data that conform to the Digital Imaging and Communications in Medicine (DICOM) standard, part of the Rigorous Analytics bundle.

Various methods for MRI tissue classification.

A comprehensive synergy/antagonism analyses of drug combinations with quality graphics and data. The analyses can be performed by Bliss independence and Loewe additivity models.

Compute Unified Device Architecture (CUDA) is a software platform for massively parallel high-performance computing on NVIDIA GPUs. This package provides a CUDA implementation of a Bayesian multilevel model for the analysis of brain fMRI data.

A collection of routines and documentation that allows one to perform voxel-wise quantitative analysis of dynamic contrast-enhanced MRI (DEC-MRI) and diffusion-weighted imaging (DWI) data, with emphasis on oncology applications.

The 'dpmixsim' package implements a Dirichlet Process Mixture (DPM) model for clustering and image segmentation. The DPM model is a Bayesian nonparametric methodology that relies on MCMC simulations for exploring mixture models with an unknown ...

Contains R-functions to perform an fMRI analysis as described in Tabelow et al. (2006) <DOI:10.1016/j.neuroimage.2006.06.029>, Polzehl et al.

Provide a compact storage for medical imaging data with access and display possibilities. Basic tools for processing brain imaging data are proposed like extraction of brain voxels, morphological image segmentation, and filtering / normalization of ...

Image analysis techniques for positron emission tomography (PET) that form part of the Rigorous Analytics bundle.

Tools for reading, visualising and processing Magnetic Resonance Spectroscopy data.