BrainSimulator

Functional brain image synthesis using the KDE or MVN distribution.  brainSimulator is a brain image synthesis procedure for data augmentation and standardization of evaluation of ML neuroimaging pipelines. It intends to generate a new image set that share characteristics given an original one. The system focuses on nuclear imaging modalities such as PET or SPECT brain […]

Significance Weighted Principal Component Analysis (SWPCA)

Significance Weighted Principal Component Analysis (SWPCA) is a technique (1) developed to parse out the influence of a categorical variable that introduces variability in a certain dataset. This was originally intended to remove acquisition site variance in neuroimaging databases. Download the code in: Python  Use To use the script to remove, navigate to the download dir, […]

Spherical Brain Mapping

https://www.youtube.com/watch?v=cHTB2kxBqEk Spherical Brain Mapping The Spherical Brain Mapping (SBM) is a feature extraction and visualization framework intended to map the internal structures and features of the brain onto a 2D image that summarizes all this information. DocumentationDownload The Spherical Brain Mapping (SBM) is a framework intended to map the internal structures and features of the brain onto […]