Acknowledgments
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RACOON
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This work was partially supported by RACOON, funded by the German Federal Ministry of Education and ResearchDieses in the Netzwerk Universitätsmedizin (NUM; funding code 01KX2021).

Website: https://www.netzwerk-universitaetsmedizin.de/projekte/racoon

Joint Imaging Platform
======================
This work was partially supported by Joint Imaging Platform, funded by the German Cancer Consortium. 

Website: https://jip.dktk.dkfz.de/jiphomepage/

Building Data Rich Clinical Trials - CCE_DART 
=============================================
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 965397. 

Website: https://cce-dart.com/

Trustworthy Federated Data Analysis - TFDA
==========================================
This work is partially funded by the Helmholtz Association within the project "Trustworthy Federated Data Analytics” (TFDA) (funding number ZT-I-OO1 4). 

Website: https://tfda.hmsp.center/

Capturing Tumor Heterogeneity in Hepatocellular Carcinoma
=========================================================
A Radiomics Approach Systematically Tested in Transgenic Mice This project is partially funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – 410981386. 

Website: https://gepris.dfg.de/gepris/projekt/410981386

Data Science Driven Surgical Oncology Project
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This work was partially supported by the Data Science Driven Surgical Oncology Project (DSdSO), funded by the Surgical Oncology Program at the National Center for Tumor Diseases (NCT), Heidelberg, a partnership by DKFZ, UKHD, Heidelberg University. 

Website: https://www.nct-heidelberg.de/forschung/precision-local-therapy-and-image-guidance/surgical-oncology.html

HiGHmed
=======
This work was partially supported by the HiGHmed Consortium, funded by the German Federal Ministry of Education and Research (BMBF, funding code 01ZZ1802A)).

Website: https://highmed.org/

Innovation Campus Health + Life Science Alliance Heidelberg Mannheim
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This work was supported through state funds approved by the State Parliament of Baden-Württemberg for the Innovation Campus Health + Life Science Alliance Heidelberg Mannheim.

Website: https://www.aih-cluster.ai/