Update README.md

README.md

@@ -14,8 +14,24 @@ license: cc-by-nc-4.0
 
 ## 🔥 Available resources
 
-**ckpt/checkpoint.pt**: Model trained on the CT-RATE **train** set.
+**ckpt/model_state_dict.pt**: Model trained on the CT-RATE **train** set.
+
+**ckpt/classification_threshold.csv**: Classification thresholds optimized on our validation set, leaving the official CT-RATE test set untouched.
 
 ## 🤝🏻 Acknowledgment
 
-We thank contributors from the CT-RATE dataset available at [https://huggingface.co/datasets/ibrahimhamamci/CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE), and from the Rad-ChestCT dataset available at [https://zenodo.org/records/6406114](https://zenodo.org/records/6406114).
+We thank contributors from the CT-RATE dataset available at [https://huggingface.co/datasets/ibrahimhamamci/CT-RATE](https://huggingface.co/datasets/ibrahimhamamci/CT-RATE), and from the Rad-ChestCT dataset available at [https://zenodo.org/records/6406114](https://zenodo.org/records/6406114).
+
+## 📎Citation
+
+If you use this repository in your work, we would appreciate the following citation:
+
+```bibtex
+@InProceedings{dipiazza_2025_ctscroll,
+        title = {Imitating Radiological Scrolling: A Global-Local Attention Model for 3D Chest CT Volumes Multi-Label Anomaly Classification},
+        author = {Di Piazza, Theo and Lazarus, Carole and Nempont, Olivier and Boussel, Loic},
+        booktitle = {Proceedings of The 8nd International Conference on Medical Imaging with Deep Learning -- MIDL 2025},
+        year = {2025},
+        publisher = {PMLR},
+}
+```