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deepmriprep: voxel-based morphometry preprocessing via deep neural networks.

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Code

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wwu-mmll/deepmriprep

License: MIT
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hoechenberger/openneuro-py

License: GPL-3.0
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wwu-mmll/deepmriprep-train

License: MIT
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codingfisch/niftiai

License: MIT
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Zenodo 17748963

License: MIT
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Zenodo 17749045

License: MIT
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Zenodo 17749166

License: MIT
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codingfisch/torchreg

License: MIT
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Tools found in the code: ANTs, Matplotlib, MONAI, NiBabel, NumPy, pandas, Pillow, PyTorch

Overview

Authors: Lukas Fisch, Nils R Winter, Janik Goltermann, Carlotta Barkhau, Daniel Emden, Jan Ernsting, Maximilian Konowski, Ramona Leenings, Tiana Borgers, Kira Flinkenflügel, Dominik Grotegerd, Anna Kraus, Elisabeth J Leehr, Susanne Meinert, Frederike Stein, Lea Teutenberg, Florian Thomas-Odenthal, Paula Usemann, Marco Hermesdorf, Hamidreza Jamalabadi
and 8 other authorsAndreas Jansen, Igor Nenadić, Benjamin Straube, Tilo Kircher, Klaus Berger, Benjamin Risse, Udo Dannlowski, Tim Hahn
Journal: Nature computational science
Published: 30 January 2026
Type: Research article
Status: code verified (how the code is found and verified)
DOI: 10.1038/s43588-026-00953-7
License: CC BY
Institutions: University of Münster (Germany), Stiftung Charité (Germany), Charité – Universitätsmedizin Berlin (Germany), Philipps University of Marburg (Germany), Bielefeld University (Germany), Deutsches Zentrum für Psychische Gesundheit (Germany)
Categories: structural MRI / diffusion (modality), human (organism)

Data

No dataset cited, and no data link found.

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