Update README.md

README.md

@@ -13,6 +13,7 @@ This repository contains a conditional diffusion model trained to generate 3D me
 
 
 ## Trained on Dataset
+The model was trained on medical CT scan data with corresponding segmentation masks. The dataset contains 3,346 training examples with 80-20 train/validation split.
 ![Sample dataset](assets/dataset.png)
 1. [Kaggle Pancreas CT](https://www.kaggle.com/datasets/salihayesilyurt/pancreas-ct)
 2. [Cancer Imaging Archive Pancreatic CT](https://nbia.cancerimagingarchive.net/nbia-search/)
@@ -92,10 +93,6 @@ The model was trained for 5000 epochs with:
 - Optimizer: Adam
 - Loss: Score matching loss
 
-## Dataset
-
-The model was trained on medical CT scan data with corresponding segmentation masks. The dataset contains 3,346 training examples with 80-20 train/validation split.
-
 ## Citation
 
 If you use this model in your research, please cite:
@@ -109,6 +106,14 @@ If you use this model in your research, please cite:
 }
 ```
 
+## Publications
+
+- **Archie Tan, Scott Spurlock.**  
+  *Learning to generate realistic medical images to improve pancreatic cancer segmentation.*  
+  Accepted for presentation at the [39th Annual Consortium for Computing Sciences in Colleges: Southeastern Conference (CCSC-SE 2025)](http://ccscse.org/), Mercer University, Macon, GA, November 7–8, 2025.  
+  Published in the *Journal of the Consortium for Computing Sciences in Colleges* (to appear).  
+  [Conference Site](https://www.conftool.org/ccsc-se/) | [Formatting Guidelines](https://lubaochuan.github.io/ccsc-editor/authors.html)
+
 ## License
 
 This project is open-source under the MIT License.