Acknowledgments

RACOON

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

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

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/