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Update README.md #250

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Aug 3, 2023
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Update README.md #250

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Expand Up @@ -18,7 +18,7 @@ This is especially useful for:
- Morphometry (eg. thickness, surface area, curvature, and gyrification measures)
- Quantitative mapping (eg. map your qT1 MRI data to a midthickness surface; extract laminar profiles perpendicular to this surface)

## NEW: Version 1.3.0 release
## NEW: Version 1.3.1 release

Major changes include the addition of unfolded space registration to a reference atlas harmonized across seven ground-truth histology samples. This method allows shifting in unfolded space, providing even better intersubject alignment.

Expand All @@ -28,7 +28,7 @@ Read more in our [preprinted manuscript](https://www.biorxiv.org/content/10.1101

Also the ability to specify a new **experimental** UNet model that is contrast-agnostic using [synthseg](https://github.com/BBillot/SynthSeg) and trained using more detailed segmentations. This generally produces more detailed results but has not been extensively tested yet.


Note: Docker containers for version 1.3.1 and above do not come pre-shipped with nnU-net models (and are accordingly more lightweight!) - models are downloaded automatically when running, but please see the FAQ for more information!

## Workflow

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