Reconstruction of Patient-Specific Confounders in AI-based Radiologic Image Interpretation using Generative Pretraining. - Tianyu Han; Laura Zigutyte; Luisa Huck; Marc Huppertz; Robert Siepmann; Yossi Gandelsman; Christian Blüthgen; Firas Khader; Christiane Kuhl; Sven Nebelung; Jakob Nikolas Kather; Daniel Truhn (CoRR, 2023)

RadioRAG: Factual Large Language Models for Enhanced Diagnostics in Radiology Using Dynamic Retrieval Augmented Generation. - Soroosh Tayebi Arasteh; Mahshad Lotfinia; Keno K. Bressem; Robert Siepmann; Dyke Ferber; Christiane Kuhl; Jakob Nikolas Kather; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2. - Gustav Müller-Franzes; Firas Khader; Robert Siepmann; Tianyu Han; Jakob Nikolas Kather; Sven Nebelung; Daniel Truhn (CoRR, 2024)

Autonomous medical evaluation for guideline adherence of large language models. - Dennis Fast; Lisa C. Adams; Felix Busch; Conor Fallon; Marc Huppertz; Robert Siepmann; Philipp Prucker; Nadine Bayerl; Daniel Truhn; Marcus R. Makowski; Alexander Löser; Keno K. Bressem (npj Digit. Medicine, 2024)

Enhancing Privacy: The Utility of Stand-Alone Synthetic CT and MRI for Tumor and Bone Segmentation. - André Ferreira; Kunpeng Xie; Caroline Wilpert; Gustavo Correia; Felix Barajas Ordonez; Tiago Gil Oliveira; Maike Bode; Robert Siepmann; Frank Hölzle; Rainer Röhrig; Jens Kleesiek; Daniel Truhn; et al. (CoRR, 2025)