Update README.md

README.md

@@ -99,6 +99,9 @@ For the most reliable results, I recommend the following inference settings base
 * **Recommended Confidence:** `0.466`
 * **Image Size:** `640x640`
 
+### Usage Guide
+To run inference with the ACE-V1.1 weights, use the following snippet:
+
 ```python
 from ultralytics import YOLO
 
@@ -106,4 +109,17 @@ from ultralytics import YOLO
 model = YOLO('ACE-V1.1.pt')
 
 # Run inference with the optimal threshold
-results = model.predict(source='mri_scan.jpg', conf=0.466, save=True)
+results = model.predict(source='mri_scan.jpg', conf=0.466, save=True)
+```
+
+### Citation
+@misc{bowman2026acev11,
+  author       = {Bowman, Alexa},
+  title        = {ACE-V1.1: Optimized Brain Tumor Detection with 1.00 Background Specificity},
+  year         = {2026},
+  publisher    = {Hugging Face},
+  howpublished = {\url{[https://huggingface.co/LexBwmn/ACE-V1](https://huggingface.co/LexBwmn/ACE-V1)}},
+  note         = {Fine-tuned YOLO11 on the BRISC 2025 Dataset (arXiv:2506.14318)},
+  version      = {1.1.0},
+  hash         = {0eed1ebda4a95f71720b26d0f81de960f3e5837ffa4c0c88e2bb26813b355fe2}
+}