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README.md

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+# SimCortex
+
+**Deep Learning for Cortical Surface Reconstruction from Brain MRI**
+
+[Website](https://simcortex.app) · [GitHub](https://github.com/Neuro-iX/SimCortex) · [3D Slicer Extension](https://github.com/Kaveh-Moradkhani/SlicerSimCortex)
+
+## About
+
+SimCortex is an open-source research project focused on fast, accurate, and topologically consistent cortical surface reconstruction from structural T1-weighted magnetic resonance imaging (MRI).
+
+The framework reconstructs four cortical surfaces:
+
+- Left hemisphere white matter surface
+- Left hemisphere pial surface
+- Right hemisphere white matter surface
+- Right hemisphere pial surface
+
+SimCortex combines deep learning, geometric modeling, and topology-aware surface reconstruction to produce anatomically meaningful cortical meshes while minimizing self-intersections and inter-surface collisions.
+
+## Research Focus
+
+Our work explores deep learning for neuroimaging, 3D geometric modeling, cortical mesh reconstruction, diffeomorphic surface deformation, and anatomically constrained learning.
+
+## Open-Source Ecosystem
+
+**SimCortex Framework:** Core implementation, inference tools, and research code.
+
+**SlicerSimCortex:** A 3D Slicer extension that integrates SimCortex through Docker, enabling cortical surface reconstruction and visualization directly within 3D Slicer.
+
+**Pretrained Models:** Versioned model checkpoints and configurations will be made available through Hugging Face.
+
+**Research Data:** Supporting datasets, benchmark results, and reproducibility resources will be linked as they become available.
+
+## Resources
+
+- **Website:** https://simcortex.app
+- **Source Code:** https://github.com/Neuro-iX/SimCortex
+- **Slicer Extension:** https://github.com/Kaveh-Moradkhani/SlicerSimCortex
+
+## Research and Collaboration
+
+SimCortex is developed as part of academic research on deep learning and medical image analysis at École de technologie supérieure (ÉTS), Montréal, Canada.
+
+We welcome research collaboration, reproducibility efforts, and community contributions.