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2022-09-19-ucl-dash

appian

APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate computing skills and to facilitate reproducible research.

github-pages-with-jekyll

kde_ebm

Newer version of the KDEEBM code

longcombat

R package to implement longitudinal ComBat: A method for harmonizing multi-batch longitudinal data

mri-reface-docker

niftypad

niftypet

High-throughput Python platform for image reconstruction and analysis

nipet

High-throughput PET image reconstruction with high quantitative accuracy and precision

pyanon

A python package to handle editing and anonymisation of DICOM image data

sila-ad-biomarker

The sampled iterative local approximation algorithm was developed by Dr. Betthauser at the University of Wisconsin-Madison to model longitudinal amyloid PET data and estimate individual A+ onset age. This algorithm may have applications in other areas where long-term population trajectories can be surmised from shorter individual longitudinal assessments.

teamcoders_event_based_model

The notebooks and course content for the upcoming Team Coders event.

ukcovidplots

Learning shiny by setting up plots of covid cases by upper tier local authority in UK

worldfootballr

A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat and fotmob