Publications
2024
Journal Articles
- S. Tayebi Arasteh, T. Arias-Vergara, P.A. Perez-Toro, T. Weise, K. Packhaeuser, M. Schuster, E. Noeth, A. Maier, S.H. Yang. "The Impact of Speech Anonymization on Pathology and Its Limits". ArXiv preprint (2024), arXiv:2404.08064, DOI: 10.48550/arXiv.2404.08064
- S. Tayebi Arasteh, A. Ziller, C. Kuhl, M. Makowski, S. Nebelung, R. Braren, D. Rueckert, D. Truhn, G. Kaissis. "Preserving fairness and diagnostic accuracy in private large-scale AI models for medical imaging". Communications Medicine (2024), 4(1), 46. Springer Nature, DOI: 10.1038/s43856-024-00462-6
- 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, L. Misera, J.N. Kather, D. Truhn, S. Nebelung. "Enhancing diagnostic deep learning via self-supervised pretraining on large-scale, unlabeled non-medical images". European Radiology Experimental (2024), 8(1), 10. Springer Nature, DOI: 10.1186/s41747-023-00411-3
- D. Truhn*, S. Tayebi Arasteh* et al. "Encrypted federated learning for secure decentralized collaboration in cancer image analysis". Medical image analysis (2024), 92, 103059. DOI: 10.1016/j.media.2023.103059
- 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, C. Kuhl, M.J. Saehn, P. Isfort, D. Truhn, S. Nebelung. "Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning". Scientific Reports (2023), 13(1), 22576. Nature Portfolio, DOI: 10.1038/s41598-023-49956-8
- S. Tayebi Arasteh, P. Isfort, M. Saehn, G. Mueller-Franzes, F. Khader, J.K. Kather, C. Kuhl, S. Nebelung, D. Truhn. "Collaborative training of medical artificial intelligence models with non-uniform labels". Scientific Reports (2023), 13(1), 6046. Nature Portfolio, DOI: 10.1038/s41598-023-33303-y
- 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
- S. Tayebi Arasteh, T. Weise, M. Schuster, E. Noeth, A.K. Maier, S.H. Yang. "The effect of speech pathology on automatic speaker verification: a large-scale study". Scientific Reports (2023), 13(1), 20476. Nature Portfolio, DOI: 10.1038/s41598-023-47711-7
- F. Khader, G. Müller-Franzes, S. Tayebi Arasteh, T. Han, C. Haarburger, M. Schulze-Hagen, P. Schad, S. Engelhardt, B. Baeßler, S. Foersch, J. Stegmaier, C. Kuhl, S. Nebelung, J.N. Kather, D. Truhn. "Denoising diffusion probabilistic models for 3D medical image generation". Scientific Reports (2023), 13(1), 7303. Nature Portfolio, DOI: 10.1038/s41598-023-34341-2
- F. Khader, J.N. Kather, G. Müller-Franzes, T. Wang, T. Han, S. Tayebi Arasteh, K. Hamesch, K. Bressem, C. Haarburger, J. Stegmaier, C. Kuhl, S. Nebelung, D. Truhn. "Medical transformer for multimodal survival prediction in intensive care: Integration of imaging and non-imaging data". Scientific Reports (2023), 13(1), 10666. Nature Portfolio, DOI: 10.1038/s41598-023-37835-1
- F. Khader, G. Müller-Franzes, T. Wang, T. Han, S. Tayebi Arasteh, C. Haarburger, J. Stegmaier, K. Bressem, C. Kuhl, S. Nebelung, J.N. Kather, D. Truhn. "Multimodal Deep Learning for Integrating Chest Radiographs and Clinical Parameters: A Case for Transformers". Radiology (2023), 309(1), e230806. RSNA, DOI: 10.1148/radiol.230806
- G. Müller-Franzes, J.M. Niehues, F. Khader, S. Tayebi Arasteh, C. Haarburger, C. Kuhl, T. Wang, T. Han, T. Nolte, S. Nebelung, J.N. Kather, D. Truhn. "A multimodal comparison of latent denoising diffusion probabilistic models and generative adversarial networks for medical image synthesis". Scientific Reports (2023), 13(1), 12098. Nature Portfolio, DOI: 10.1038/s41598-023-39278-0
- G. Müller-Franzes, F. Müller-Franzes, L. Huck, V. Raaff, E. Kemmer, F. Khader, S. Tayebi Arasteh, T. Lemainque, J.N. Kather, S. Nebelung, C. Kuhl, D. Truhn. "Fibroglandular tissue segmentation in breast MRI using vision transformers: a multi-institutional evaluation". Scientific Reports (2023), 13(1), 14207. Nature Portfolio, DOI: 10.1038/s41598-023-41331-x
- G. Müller-Franzes, L. Huck, S. Tayebi Arasteh, F. Khader, T. Han, V. Schulz, E. Dethlefsen, J.N. Kather, S. Nebelung, T. Nolte, C. Kuhl, D. Truhn. "Using Machine Learning to Reduce the Need for Contrast Agents in Breast MRI through Synthetic Images". Radiology (2023), 307(3), e222211. RSNA, DOI: 10.1148/radiol.222211
Conference Contributions
- S. Tayebi Arasteh, C.D. Rios-Urrego, E. Noeth, A.K. Maier, S.H. Yang, J. Rusz, J.R. Orozco-Arroyave. "Federated learning for secure development of AI models for Parkinson's disease detection using speech from different languages". Proceedings of INTERSPEECH 2023, Dublin, Ireland. DOI: 10.21437/Interspeech.2023-2108
- F. Khader, G. Müller-Franzes, S. Tayebi Arasteh, T. Han, J.N. Kather, J. Stegmaier, S. Nebelung, D. Truhn. "Vector-Quantized Latent Flows for Medical Image Synthesis And Out-of-Distribution Detection". 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia. IEEE, DOI: 10.1109/ISBI53787.2023.10230460
2021
Journal Articles
- S. Tayebi Arasteh and A. Kalisz. "Conversion Between Cubic Bezier Curves and Catmull–Rom Splines". SN Computer Science (2021), 2(1), 398. Springer Nature, DOI: 10.1007/s42979-021-00770-x
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
2020
Preprints
- S. Tayebi Arasteh. "An Empirical Study on Text-Independent Speaker Verification based on the GE2E Method". ArXiv preprint (2020), arXiv:2011.04896, DOI: 10.48550/arXiv.2011.04896
PEER-REVIEWER ROLES
- Nature Communications, Nature Portfolio (1 paper; Since 2024)
- Medical Image Analysis, Journal of the MICCAI Society (1 paper; Since 2024)
- Eurosurveillance, European Centre for Disease Prevention and Control (1 paper; Since 2024)
- IEEE Transactions on Medical Imaging, IEEE (1 paper; Since 2024)
- npj Precision Oncology, Nature Portfolio (1 paper; Since 2023)
- Journal of Medical Internet Research (JMIR), JMIR Publications (2 papers; Since 2024)
- European Radiology Experimental, SpringerOpen | European Society of Radiology (9 papers; Since 2023)
- Computerized Medical Imaging and Graphics, Elsevier (1 paper; Since 2024)
- PLoS ONE, Public Library of Science since (1 paper; Since 2024)
- Advances in Continuous and Discrete Models, SpringerOpen (3 papers; 2021 - 2022)
- JMIR Medical Education, JMIR Publications (2 papers; Since 2024)
- JMIR Medical Informatics, JMIR Publications (1 paper; Since 2024)
- JMIR Research Protocols, JMIR Publications (1 paper; Since 2024)
- Health Informatics Journal, Sage Publications (1 paper; Since 2024)
- Healthcare Technology Letters, IET (1 paper; 2023)
- IET Biometrics, IET (2 papers; 2022)
- IET Signal Processing, IET (5 papers; 2020 - 2023)
- IET Image Processing, IET (3 papers; 2020 - 2022)
- Electronics Letters, IET (7 papers; 2020 - 2021)
- IET Networks, IET (1 paper; 2020)
TALKS
- S. Tayebi Arasteh, C. Kuhl, D. Truhn, S. Nebelung. "The Future is Collaborative: A Systematic Analysis of Federated Learning and Framework Parameters in the AI-Based Interpretation of Chest Radiographs". 105. Deutscher Röntgenkongress (105th German X-ray Congress), Wiesbaden, Germany, May 2024
- S. Tayebi Arasteh, C. Kuhl, S. Nebelung, D. Truhn. "Tapping the Pool of Non-Medical Images for Enhanced AI-Based Chest Radiography Analysis." 105. Deutscher Röntgenkongress, Wiesbaden, Germany, May 2024
- G. Mueller-Franzes, S. Tayebi Arasteh, F. Khader, S. Nebelung, C. Kuhl, D. Truhn. "Standardizing Qualitative and Quantitative Breast Parenchymal Enhancement Assessment in Breast MRI." 109th Radiological Society of North America (RSNA) annual meeting, Chicago, IL, USA, 2023
- S. Tayebi Arasteh, P. Isfort, C. Kuhl, S. Nebelung, D. Truhn. "Automatic Evaluation of Chest Radiographs – The Data Source Matters, But How Much Exactly?" 104. Deutscher Röntgenkongress, Wiesbaden, Germany, 2023
- S. Tayebi Arasteh P. Isfort, Marwin Saehn, C. Kuhl, D. Truhn, S. Nebelung. "Training of AI Models Beyond the Local Dataset Using Federated Learning with 695,000 NonIdentically-Labeled Chest Radiographs." 104. Deutscher Röntgenkongress, Wiesbaden, Germany, May 2023
- S. Tayebi Arasteh, J.N. Kather, F. Khader, G. Mueller-Franzes, C. Kuhl, P. Isfort, S. Nebelung, P. Bruners, D. Truhn. "Secure Federated Learning for Decentralized Collaboration in Development of AI Models." 108th RSNA annual meeting, Chicago, IL, USA, Nov-Dec 2022