TeamTreat - a communication platform for concerted cancer treatment. - Stefan Lenz; Torsten Panholzer; Philipp Emmerich; Frank Ückert (MIE, 2014)

Automated Creation of Expert Systems with the InteKRator Toolbox. - Daan Apeldoorn; Torsten Panholzer (GMDS, 2021)

Learning Behavioral Rules from Multi-Agent Simulations for Optimizing Hospital Processes. - Daan Apeldoorn; Lars Hadidi; Torsten Panholzer (MIWAI, 2021)

cbpManager: a web application to streamline the integration of clinical and genomic data in cBioPortal to support the Molecular Tumor Board. - Arsenij Ustjanzew; Alexander Desuki; Christoph Ritzel; Alina Corinna Dolezilek; Daniel-Christoph Wagner; Jan Christoph; Philipp Unberath; Thomas Kindler; Jörg Faber; Federico Marini 002; Torsten Panholzer; Claudia Paret (BMC Medical Informatics Decis. Mak., 2021)

Comparison and Incorporation of Reasoning and Learning Approaches for Cancer Therapy Research. - Andre Thevapalan; Daan Apeldoorn; Gabriele Kern-Isberner; Ralf Georg Meyer; Mathias Nietzke; Torsten Panholzer (GMDS, 2023)

Convolutional neural network-based kidney volume estimation from low-dose unenhanced computed tomography scans. - Lukas Müller; Dativa Tibyampansha; Peter Mildenberger; Torsten Panholzer; Florian Jungmann; Moritz C. Halfmann (BMC Medical Imaging, 2023)

AbstractSwarm Multi-Agent Logistics Competition: Multi-Agent Collaboration for Improving A Priori Unknown Logistics Scenarios. - Daan Apeldoorn; Alexander Dockhorn; Torsten Panholzer (GECCO Companion, 2024)

Studying Privacy Aspects of Learned Knowledge Bases in the Context of Synthetic and Medical Data. - Xenia Heilmann; Daan Apeldoorn; Konstantin Strauch; Bertil Schmidt; Timm Lilienthal; Torsten Panholzer (GMDS, 2024)

Can open source large language models be used for tumor documentation in Germany? - An evaluation on urological doctors' notes. - Stefan Lenz; Arsenij Ustjanzew; Marco Jeray; Meike Ressing; Torsten Panholzer (BioData Min., 2025)

Can open source large language models be used for tumor documentation in Germany? - An evaluation on urological doctors' notes. - Stefan Lenz; Arsenij Ustjanzew; Marco Jeray; Torsten Panholzer (CoRR, 2025)