Okolie A, Dirrichs T, Huck LC, Nebelung S, Arasteh ST, Nolte T, Han T, Kuhl CK, Truhn D Accelerating breast MRI acquisition with generative AI models , Eur Radiol, 35(2): 2025,1092-1100

Han T, Nebelung S, Khader F, Wang T, Müller-Franzes G, Kuhl C, Försch S, Kleesiek J, Haarburger C, Bressem KK, Kather JN, Truhn D Medical large language models are susceptible to targeted misinformation attacks , NPJ Digit Med, 7(1): 2024,288

Han T, Žigutytė L, Huck L, Huppertz MS, Siepmann R, Gandelsman Y, Blüthgen C, Khader F, Kuhl C, Nebelung S, Kather JN, Truhn D Reconstruction of patient-specific confounders in AI-based radiologic image interpretation using generative pretraining , Cell Rep Med, 5(9): 2024,101713

Müller-Franzes G, Khader F, Tayebi Arasteh S, Huck L, Bode M, Han T, Lemainque T, Kather JN, Nebelung S, Kuhl C, Truhn D Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization , Radiology, 312(1): 2024,e232304

Busch F, Han T, Makowski MR, Truhn D, Bressem KK, Adams L. Integrating Text and Image Analysis: Exploring GPT-4V's Capabilities in Advanced Radiological Applications Across Subspecialties , J Med Internet Res, 26: 2024,e54948

Han T, Adams LC, Bressem KK, Busch F, Nebelung S, Truhn D Comparative Analysis of Multimodal Large Language Model Performance on Clinical Vignette Questions , JAMA, 331(15): 2024,1320-1321

Tayebi Arasteh S, Han T, Lotfinia M, Kuhl C, Kather JN, Truhn D, Nebelung S Large language models streamline automated machine learning for clinical studies , Nat Commun, 15(1): 2024,1603

Truhn D, Tayebi Arasteh S, Saldanha OL, Müller-Franzes G, Khader F, Quirke P, West NP, Gray R, Hutchins GGA, James JA, Loughrey MB, Salto-Tellez M, Brenner H, Brobeil A, Yuan T, Chang-Claude J, Hoffmeister M, Foersch S, Han T, Keil S, Schulze-Hagen M, Isfort P, Bruners P, Kaissis G, Kuhl C, Nebelung S, Kather JN Encrypted federated learning for secure decentralized collaboration in cancer image analysis , Med Image Anal, 92: 2024,103059

Khader F, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Haarburger C, Stegmaier J, Bressem K, Kuhl C, Nebelung S, Kather JN, Truhn D Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers , Radiology, 309(1): 2023,e230806

Khader F, Kather JN, Müller-Franzes G, Wang T, Han T, Tayebi Arasteh S, Hamesch K, Bressem K, Haarburger C, Stegmaier J, Kuhl C, Nebelung S, Truhn D Medical transformer for multimodal survival prediction in intensive care: integration of imaging and non-imaging data , Sci Rep, 13(1): 2023,10666