M. Mohammadi, M. Vejdanihemmat, M. Lotfinia, M. Rusu, D. Truhn, M. Maier, S. Tayebi Arasteh. "Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications". npj Digital Medicine (2026). Springer Nature
Preprints
S. Wind, M. Nguyen, J. Sopa, M. Lotfinia, et al. "Safety and accuracy follow different scaling laws in clinical large language models". arXiv preprint
S. Tayebi Arasteh, M. Joodaki, M. Lotfinia, et al. "Case-Grounded Evidence Verification: A Framework for Constructing Evidence-Sensitive Supervision". arXiv preprint
M. Farajiamiri, J. Sopa, S. Afza, L. Adams, F.B. Ordonez, T.T. Nguyen, M. Lotfinia, et al. "Agentic retrieval-augmented reasoning reshapes collective reliability under model variability in radiology question answering". arXiv preprint
S. Tayebi Arasteh, M. Farajiamiri, M. Lotfinia, et al. "The role of self-supervised pretraining in differentially private medical image analysis". arXiv preprint
2025
Journal Articles
M. Lotfinia, A. Tayebiarasteh, S. Samiei, M. Joodaki, S. Tayebi Arasteh. "Boosting multi-demographic federated learning for chest radiograph analysis using general-purpose self-supervised representations". European Journal of Radiology Artificial Intelligence (2025), 3(1), 100028. ScienceDirect, DOI: 10.1016/j.ejrai.2025.100028
S. Wind, J. Sopa, D. Truhn, M. Lotfinia, T.T. Nguyen, K. Bressem, L. Adams, M. Rusu, H. Köstler, G. Wellein, M. Maier, S. Tayebi Arasteh. "Multi-step retrieval and reasoning improves radiology question answering with large language models". npj Digital Medicine (2025). Springer Nature
S. Tayebi Arasteh, M. Lotfinia, P. A. Perez-Toro, T. Arias-Vergara, M. Ranji, J. Rafael Orozco-Arroyave, M. Schuster, A. Maier, S. Hee Yang. "Differential privacy enables fair and accurate AI-based analysis of speech disorders while protecting patient data". npj Artificial Intelligence (2025). Springer Nature. Preprint: arXiv:2409.19078
S. Tayebi Arasteh, M. Lotfinia, K. Bressem, R. Siepmann, L. Adams, D. Ferber, C. Kuhl, J.N. Kather, S. Nebelung, D. Truhn. "RadioRAG: Online Retrieval-augmented Generation for Radiology Question Answering". Radiology: Artificial Intelligence (2025), 7(4), e240476. RSNA, DOI: 10.1148/ryai.240476
Preprints
S. Tayebi Arasteh, S. Afza, T.T. Nguyen, L. Buess, M. Parvin, T. Arias-Vergara, P. Perez-Toro, H.C. Hung, M. Lotfinia, T. Gorges, E. Noeth, M. Schuster, S.H. Yang, A. Maier. "Perceptual Implications of Automatic Anonymization in Pathological Speech". arXiv:2505.00409. ArXiv, DOI: arXiv.2505.00409
2024
Journal Articles
S. Tayebi Arasteh, T. Han, M. Lotfinia, C. Kuhl, J.N. Kather, D. Truhn, S. Nebelung. "Large language models streamline automated machine learning for clinical studies". Nature Communications (2024), 15(1), 1603. Springer Nature, DOI: 10.1038/s41467-024-45879-8 Paper of the Month award winner (€5000) at RWTH Aachen University
S. Tayebi Arasteh, R. Siepmann, M. Huppertz, M. Lotfinia, B. Puladi, C. Kuhl, D. Truhn, S. Nebelung. "The Treasure Trove Hidden in Plain Sight: The Utility of GPT-4 in Chest Radiograph Evaluation". Radiology (2024), 313(2), e233441. RSNA, DOI: 10.1148/radiol.233441
S. Tayebi Arasteh, M. Lotfinia, T. Nolte, M.J. Sähn, P. Isfort, C. Kuhl, S. Nebelung, G. Kaissis, D. Truhn. "Securing Collaborative Medical AI by Using Differential Privacy: Domain Transfer for Classification of Chest Radiographs". Radiology: Artificial Intelligence (2024), 6(1), e230212. RSNA, DOI: 10.1148/ryai.230212
2023
Journal Articles
S. Tayebi Arasteh, J. Romanowicz, D.F. Pace, P. Golland, A.J. Powell, A.K. Maier, D. Truhn, T. Brosch, J. Weese, M. Lotfinia, R.J. van der Geest, M.H. Moghari. "Automated segmentation of 3D cine cardiovascular magnetic resonance imaging". Frontiers in Cardiovascular Medicine (2023), 10. DOI: 10.3389/fcvm.2023.1167500
2021
Journal Articles
M. Lotfinia and S. Tayebi Arasteh. "Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling". arXiv:2102.02470. ArXiv, DOI: 10.48550/arXiv.2102.02470
Conference Contributions
S. Tayebi Arasteh, M. Monajem, V. Christlein, P. Heinrich, A. Nicolaou, H.N. Boldaji, M. Lotfinia, S. Evert. "How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies". 2021 IEEE 15th International Conference on Semantic Computing (ICSC), pp. 370-373, Laguna Hills, CA, USA. DOI: 10.1109/ICSC50631.2021.00068