# xl1393/EMLDDMM

<https://repo.masters-masters.com/en/repos/xl1393/EMLDDMM>

[Home](https://repo.masters-masters.com/en) › [xl1393](https://repo.masters-masters.com/en/owners/xl1393) › [EMLDDMM](https://repo.masters-masters.com/en/repos/xl1393/EMLDDMM)

xl1393/EMLDDMM has 229 stars on GitHub. Its RepoMasters card: Prototype tier. Robust medical image registration using EM-LDDMM for datasets with differing…

| Field | Value |
| --- | --- |
| Owner | [xl1393](https://repo.masters-masters.com/en/owners/xl1393) |
| Stars | 229 |
| Forks | 1 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [xl1393/EMLDDMM](https://github.com/xl1393/EMLDDMM) |

## Repository

Robust medical image registration using EM-LDDMM for datasets with differing contrasts and missing data. Supports 3D-to-3D and 3D-to-2D serial section alignment. Tward Lab.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.