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"deepmriprep: VBM preprocessing via deep neural networks" is published in Nature Computational Science 🧠💻 🔗 Paper: rdcu.be/e1t4N VBM preprocessing in ~10 seconds per #brain image 🚀 🔗 GitHub: github.com/wwu-mmll/deepm… Install via "pip install deepmriprep"
🎉 Today I release #brain-stl 🎉 🧠 Turn your MRI into a 3D printable model 🖨️ Easily add custom text, adjust the tissue threshold and smooth the surface 🤯 Try the demo (non-programmer friendly) linked on GitHub (next post) or "pip install brain-stl"
Not convinced? How about this: @christiangaser.bsky.social (author of CAT12) is building his new SBM toolbox around deepmriprep: github.com/ChristianGas...
🔗 GitHub: github.com/codingfisch/brain-stl
4mo
Feb 1, 2025
4mo
📢Out now! @codingfisch.bsky.social and colleagues present deepmriprep, a tool that leverages neural networks to enable 37x faster Voxel-based Morphometry preprocessing of MRI data than existing methods. www.nature.com/articles/s43... #compneurosky
4mo
Feb 1, 2025
4mo
Lukas Fisch
Lukas Fisch
Lukas Fisch
Lukas Fisch
Lukas Fisch
Nature Computational Science