Update README.md

README.md

@@ -56,6 +56,7 @@ The dataset has the following characteristics:
 
 - **Code:** [https://github.com/DIDSR/tsynth-release](https://github.com/DIDSR/tsynth-release)
 - **Arxiv:** [https://arxiv.org/abs/2507.04038](https://arxiv.org/abs/2507.04038)
+- **Poster:** [https://github.com/DIDSR/tsynth-release/blob/main/images/poster.pdf](https://github.com/DIDSR/tsynth-release/blob/main/images/poster.pdf)
 
 ## Intended Use
 
@@ -117,9 +118,9 @@ The description how to use it could be found [here](https://github.com/DIDSR/tsy
 
 ```
 @article{t-synth,
-  title={T-SYNTH: A Knowledge-Based Dataset of Synthetic Breast Images},
+  title={{T-SYNTH}: A Knowledge-Based Dataset of Synthetic Breast Images},
   author={Christopher Wiedeman, Anastasiia Sarmakeeva, Elena Sizikova, Daniil Filienko, Miguel Lago, Jana G. Delfino, Aldo Badano},
-  journal={},
+  journal={MICCAI Open Data},
   volume={},
   pages={},
   year={2025}
@@ -129,5 +130,5 @@ The description how to use it could be found [here](https://github.com/DIDSR/tsy
 ## Related Links
 1. [Virtual Imaging Clinical Trial for Regulatory Evaluation (VICTRE)](https://cdrh-rst.fda.gov/victre-silico-breast-imaging-pipeline).
 2. [M-SYNTH: A Dataset for the Comparative Evaluation of Mammography AI](https://cdrh-rst.fda.gov/m-synth-dataset-comparative-evaluation-mammography-ai).
-6. A. Kim*, N. Saharkhiz*, E. Sizikova*, M. Lago, B. Sahiner, J. G. Delfino, A. Badano. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
+6. [S-SYNTH: Knowledge-Based, Synthetic Generation of Skin Images](https://github.com/DIDSR/ssynth-release). MICCAI 2024.
 4. [FDA Catalog of Regulatory Science Tools to Help Assess New Medical Devices](https://www.fda.gov/medical-devices/science-and-research-medical-devices/catalog-regulatory-science-tools-help-assess-new-medical-devices).