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ScanOMetrics

Welcome to the ScanOMetrics repository !

About

ScanOMetrics is an open-source software for normative modeling from MRI scans. Our tool currently provides a GUI for basic MRI processing, statistical evaluation against a reference population, and visualization of results with 3D surface rendering as well as detailed cloudpoints and metric spyder plots.

3Drendering evaluationPlots

Documentation

For installation and usage of the ScanOMetrics package, check our documentation

How to cite

When publishing work related to ScanOMetrics, please cite the following article:

Rummel C, Aschwanden F, McKinley R, Wagner F, Salmen A, Chan A, Wiest R.
A Fully Automated Pipeline for Normative Atrophy in Patients with Neurodegenerative Disease.
Front Neurol. 8:727 (2018).
https://doi.org/10.3389/fneur.2017.00727

Cited by

ScanOMetrics has been used in the following studies:

Romascano D, Rebsamen  M, Radojewski P, Blattner T, McKinley R, Wiest R, Rummel C
Cortical thickness and grey-matter volume anomaly detection in individual MRI scans: Comparison of two methods.
NeuroImage: Clinical, 43, p.103624 (2024)
https://doi.org/10.1016/j.nicl.2024.103624
Rebsamen M, Suter Y, Wiest R, Reyes M, Rummel C.
Brain morphometry estimation: From hours to seconds using deep learning.
Frontiers in neurology, 11:244 (2020)
https://doi.org/10.3390/brainsci13091270
Rummel C, Slavova N, Seiler A, Abela E, Hauf M, Burren Y, Weisstanner C, Vulliemoz S, Seeck M, Schindler K, Wiest R
Personalized structural image  analysis in patients with temporal lobe epilepsy.
Sci Rep 7, 10883 (2017).
https://doi.org/10.1038/s41598-017-10707-1

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Python package for automated normative modeling of MRI anatomical scans

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