Publications
2024
Journal Articles
- S. Tayebi Arasteh, T. Arias-Vergara, P.A. Perez-Toro, T. Weise, K. Packhäuser, M. Schuster, E. Noeth, A. Maier, S.H. Yang. "Addressing challenges in speaker anonymization to maintain utility while ensuring privacy of pathological speech." Communications Medicine (2024), 4(1), (Accepted) arXiv:2404.08064, Nature Portfolio, 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. Nature Portfolio, 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, 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
- G. Müller-Franzes, F. Khader, S. Tayebi Arasteh, L. Huck, M. Bode, T. Han, T. Lemainque, J.N. Kather, S. Nebelung, C. Kuhl, D. Truhn. "Intraindividual Comparison of Different Methods for Automated BPE Assessment at Breast MRI: A Call for Standardization." Radiology (2024), 3012(1), e232304. RSNA, DOI: 10.1148/radiol.232304
- A. Okolie, T. Dirrichs, L.C. Huck, S. Nebelung, S. Tayebi Arasteh, T. Nolte, T. Han, C.K. Kuhl, D. Truhn. "Accelerating breast MRI acquisition with generative AI models." European Radiology (2024). Springer Nature, DOI: 10.1007/s00330-024-10853-x
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
As of August 25, 2024, my review service includes 56 reviews for a total of 25 different journals from different publishers
- Nature Portfolio (2x):
- Nature Communications (1x) | npj Precision Oncology (1x)
- Eurosurveillance (1x)
- IEEE (1x):
- Elsevier (2x):
- SpringerOpen (14x):
- PLOS (1x):
- PLOS ONE (1x)
- JMIR Publications (13x):
- Journal of Medical Internet Research (JMIR) (5x) | JMIR Medical Education (2x) | JMIR Medical Informatics (1x) | JMIR Research Protocols (1x) | JMIR Bioinformatics and Biotechnology (2x) | JMIR AI (1x) | JMIR Cancer (1x)
- Other publishers (3x):
- PeerJ Computer Science (1x) | Sensors (1x) | Health Informatics Journal (1x)
- IET (19x):
- Healthcare Technology Letters (1x) | IET Signal Processing (5x) | IET Image Processing (3x) | IET Biometrics (2x)| Electronics Letters (7x) | IET Networks (1x)
TALKS
2024
- S. Tayebi Arasteh, A. Ziller, D. Truhn, G. Kaissis. "Differential Privacy in Large-Scale AI Models: Ensuring Fairness and Diagnostic Accuracy in Medical Imaging." TPDP 2024 – Theory and Practice of Differential Privacy, Boston, MA, USA, August 2024
- Keynote Speech. "Encrypted Federated Learning: Next-Level Privacy in Decentralized Collaborative Medical AI." Pattern Recognition Conference Summer 2024, Obertrum am See, Austria, July 2024
- 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
2023
- 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
2022
- 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