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
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, P. A. Perez-Toro, T. Arias-Vergara, M. Ranji, J. R. 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". arXiv:2409.19078 (ArXiv, DOI: 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: Factual large language models for enhanced diagnostics in radiology using online retrieval augmented generation". arXiv:2407.15621 (ArXiv, DOI: arXiv.2407.15621
2023
Journal Articles
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
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