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FastSurfer - AI-Based NeuroImage Analysis Package

Project FastSurfer
Funding Cycle 5

Proposal Summary

To provide an efficient neuroimage analysis pipeline for the medical imaging communities by consolidating advanced DL-methods into a single user-friendly, maintainable, open source software framework.



Non-invasive neuroimage analysis has become a general tool to respond to societal challenges: early detection of disease, evaluation of therapeutic efficacy, identification of risk and protective factors for neurodegeneration, among others. This project will extend existing open source software through an efficient deep-learning approach (FastSurfer) to significantly speed up processing as well as reduce the carbon footprint of neuroimage analysis in large cohort studies.

Key Personnel

Martin Reuter