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+Generative Models
+=======================
+
+This section provides an overview of the generative models in `medigan`.
+
+Find in the tables below for each model:
+
+#. A **model_id**
+#. A link to detailed documentation on **Zenodo**
+
+Further model information can be found in the `global.json <https://github.com/RichardObi/medigan/blob/main/config/global.json>`_ metadata.
+
+.. warning::
+    Some of the model internal checkpoint loading functions may implicitly use the pickle module (e.g. `torch.load() <https://pytorch.org/docs/stable/generated/torch.load.html>`_),
+    Pickle is insecure: It is possible to construct malicious pickle data which will execute arbitrary code during unpickling (`example video <https://youtu.be/2ethDz9KnLk>`_).
+    While we do our best to analyse and test each model before Zenodo upload and `medigan` integration, we cannot provide a security guarantee. Be aware and run only models you trust.
+    To further mitigate risks, we plan to integrate a malware scanning tool into medigan's `CI pipeline <https://github.com/RichardObi/medigan/actions>`_.
+
+
+.. include:: model_documentation.md
+   :parser: myst_parser.sphinx_