Update README.md

README.md

@@ -89,18 +89,17 @@ Download the trained best model from the [drive link](https://huggingface.co/dat
 
 ## 📚 In case of using our work in your research, please cite this paper
 
-<pre> @article{sanatbyeka2025multitask,
-  title     = {A Multitask Deep Learning Model for Food Scene Recognition and Portion Estimation},
-  author    = {Sanatbyeka, Aibota and Rakhimzhanova, Tomiris and Varol, Huseyin Atakan and Chan, Mei Yen},
-  journal   = {AI Open},
-  year      = {2025},
-  note      = {Preprint submitted April 7, 2025}
-}
+<pre> @article{Sanatbyek_2025, 
+  title={A multitask deep learning model for food scene recognition and portion estimation—the Food Portion Benchmark (FPB) dataset}, 
+  volume={13}, DOI={10.1109/access.2025.3603287}, journal={IEEE Access}, 
+  author={Sanatbyek, Aibota and Rakhimzhanova, Tomiris and Nurmanova, Bibinur and Omarova, Zhuldyz and Rakhmankulova, Aidana and Orazbayev, Rustem and Varol, Huseyin Atakan and Chan, Mei Yen}, 
+  year={2025}, 
+  pages={152033–152045}}
 </pre>
 
 
 ## References
 
-[1] Tian, Y., Ye, Q., & Doermann, D. (2025). YOLOv12: Attention-centric real-time object detectors. arXiv. https://arxiv.org/abs/2502.12524
-[2] https://github.com/ultralytics/ultralytics
+[1] A. Sanatbyek et al., “A Multitask Deep Learning Model for Food Scene Recognition and Portion Estimation - the Food Portion Benchmark (FPB) dataset,” 
+IEEE Access, p. 1, Jan. 2025, doi: 10.1109/access.2025.3603287.