Update README.md

README.md

@@ -10,7 +10,7 @@ pipeline_tag: zero-shot-image-classification
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-COLIPRI is a 3D vision&ndash;language transformer model trained to encode chest CT scans and reports.
+COLIPRI is a 3D vision&ndash;language transformer model trained to encode chest CT scans and radiological reports.
 
 ## Model description
 
@@ -148,6 +148,15 @@ COLIPRI was trained on [Azure Machine Learning](https://azure.microsoft.com/en-u
 
 The main software libraries used in this work were [nnSSL](https://github.com/MIC-DKFZ/nnssl) for training, [TorchIO](https://torchio.org/) for preprocessing and augmentation, [`nifti-zarr-py`](https://github.com/neuroscales/nifti-zarr-py) for data loading, and [nnU-Net](https://github.com/MIC-DKFZ/nnUNet) for segmentation evaluation.
 
+## Community
+
+Below are some works derived from COLIPRI.
+
+| Name | Description |
+| --- | --- |
+| [NV-Reason-CT](https://huggingface.co/nvidia/NV-Reason-CT) | Open 3D CT VLM for Radiologist Chain-of-Thought Reasoning |
+| [ORCA-3DCT](https://github.com/renjie-liang/ORCA-3DCT) | Training-free [ORCA](https://arxiv.org/abs/2608.00345) compression of CT-RATE embeddings | 
+
 ## Citation
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->