Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 - text-classification
 ---
 
-# IAMJB/RadBERT-CT
+# RadBERT-CT
 
 Custom RadBERT sequence-classification model converted from a training checkpoint with:
 - backbone initialized from `zzxslp/RadBERT-RoBERTa-4m`
@@ -53,3 +53,51 @@ with torch.no_grad():
 print("logits shape:", logits.shape)      # [batch_size, num_labels]
 print("pred classes:", pred_class.tolist())
 ```
+
+
+## Citation
+
+```bibtex
+@article{Hamamci2026Generalist,
+  author    = {Hamamci, Ibrahim Ethem and Er, Selim and Wang, Chen and others},
+  title     = {Generalist foundation models from a multimodal dataset for 3D computed tomography},
+  journal   = {Nature Biomedical Engineering},
+  year      = {2026},
+  month     = feb,
+  day       = {12},
+  doi       = {10.1038/s41551-025-01599-y},
+  url       = {https://doi.org/10.1038/s41551-025-01599-y},
+  publisher = {Springer Nature}
+}
+```
+
+Metric available in **RadEval**
+```bibtex
+@inproceedings{xu-etal-2025-radeval,
+    title = "{R}ad{E}val: A framework for radiology text evaluation",
+    author = "Xu, Justin  and
+      Zhang, Xi  and
+      Abderezaei, Javid  and
+      Bauml, Julie  and
+      Boodoo, Roger  and
+      Haghighi, Fatemeh  and
+      Ganjizadeh, Ali  and
+      Brattain, Eric  and
+      Van Veen, Dave  and
+      Meng, Zaiqiao  and
+      Eyre, David W  and
+      Delbrouck, Jean-Benoit",
+    editor = {Habernal, Ivan  and
+      Schulam, Peter  and
+      Tiedemann, J{\"o}rg},
+    booktitle = "Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+    month = nov,
+    year = "2025",
+    address = "Suzhou, China",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2025.emnlp-demos.40/",
+    doi = "10.18653/v1/2025.emnlp-demos.40",
+    pages = "546--557",
+    ISBN = "979-8-89176-334-0",
+}
+```