Update 0001_visceral_gc/README_0001_visceral_gc.md

0001_visceral_gc/README_0001_visceral_gc.md

@@ -1,10 +1,16 @@
 # VISCERAL Gold Corpus
 
-<span style="background-color: #FFFF00">  Since the original host page (https://visceral.eu/benchmarks/anatomy3-open/) is no longer accessible, we have obtained permission from the original authors and affiliated institutions and plan to re-release the VISCERAL dataset in CADS, including its original images and annotations. We are currently in the process of obtaining renewed ethics approval, and the dataset will be made publicly available once approved. </span>
+<span style="background-color: #FFFF00"> Since the original host page (https://visceral.eu/benchmarks/anatomy3-open/) is no longer accessible, we have obtained renewed permission from the original authors and affiliated institutions to make the **VISCERAL** dataset available again as part of **CADS**, including its original images and annotations. </span>
 
-## License
-TBD
+The original images are provided under controlled access for academic, non-commercial research. Segmentations and other secondary data products are openly available here, while access to the original images requires an application.
+
+👉 Apply for access via [this form](https://forms.gle/yXpGDCeFcgLeSqXM6)
 
+## License
+- Academic research use only
+- Non-commercial use only
+- Internal use only (not transferable, no sublicensing, no redistribution of original images)
+- Access subject to the Data Access Agreement (DAA) confirmed in the application form
 
 ## Citation
 Paper BibTeX:
@@ -21,7 +27,14 @@ Paper BibTeX:
   publisher={IEEE}
 }
 ```
-
+```bibtex
+@article{xu2025cads,
+  title={CADS: A Comprehensive Anatomical Dataset and Segmentation for Whole-Body Anatomy in Computed Tomography},
+  author={Xu, Murong and Amiranashvili, Tamaz and Navarro, Fernando and Fritsak, Maksym and Hamamci, Ibrahim Ethem and Shit, Suprosanna and Wittmann, Bastian and Er, Sezgin and Christ, Sebastian M. and de la Rosa, Ezequiel and Deseoe, Julian and Graf, Robert and Möller, Hendrik and Sekuboyina, Anjany and Peeken, Jan C. and Becker, Sven and Baldini, Giulia and Haubold, Johannes and Nensa, Felix and Hosch, René and Mirajkar, Nikhil and Khalid, Saad and Zachow, Stefan and Weber, Marc-André and Langs, Georg and Wasserthal, Jakob and Ozdemir, Mehmet Kemal and Fedorov, Andrey and Kikinis, Ron and Tanadini-Lang, Stephanie and Kirschke, Jan S. and Combs, Stephanie E. and Menze, Bjoern},
+  journal={arXiv preprint arXiv:2507.22953},
+  year={2025}
+}
+```
 
 ## Dataset description
 The VISCERAL Anatomy benchmarks provide a cloud-based framework for evaluating algorithms on anatomical structure segmentation and landmark detection. The dataset includes 120 CT and MR patient volumes, with 1,295 structures and 1,760 landmarks manually annotated to form a standard Gold Corpus, supporting objective comparison of state-of-the-art methods.