Soroosh Tayebi Arasteh
Soroosh Tayebi Arasteh, M.Sc.
Academic CV
- Since 2024:
Senior Researcher at Lab for Artificial Intelligence in Medicine, Uniklinik RWTH Aachen, Germany - 2021 – 2024:
Ph.D. Student (Dr.-Ing.) in Computer Science at Pattern Recognition Lab, FAU Erlangen-Nürnberg, Germany - 2022 – 2024:
Ph.D. Student (Dr. rer. medic.) in AI in Medical Image Processing, RWTH Aachen University, Germany - 2020 – 2021:
M.Sc. Thesis in Medical Image and Data Processing, Harvard Medical School, USA - 2017 – 2021:
M.Sc. in Communications and Multimedia Engineering, FAU Erlangen-Nürnberg, Germany - 2013 – 2017:
B.Sc. in Electrical Engineering, Bu-Ali Sina University, Iran
Publications
2023
Collaborative training of medical artificial intelligence models with non-uniform labels
In: Scientific Reports 13 (2023), p. 6046 (non-FAU publication)
ISSN: 2045-2322
DOI: 10.1038/s41598-023-33303-y
BibTeX: Download
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Federated learning for secure development of AI models for Parkinson’s disease detection using speech from different languages
Interspeech 2023 (Dublin, August 21, 2023 - August 24, 2023)
In: Proceedings of INTERSPEECH 2023, Dublin, Ireland: 2023
DOI: 10.21437/Interspeech.2023-2108
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Automated segmentation of 3D cine cardiovascular magnetic resonance imaging
In: Frontiers in Cardiovascular Medicine 10 (2023)
ISSN: 2297-055X
DOI: 10.3389/fcvm.2023.1167500
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The effect of speech pathology on automatic speaker verification: a large-scale study
In: Scientific Reports 13 (2023), p. 20476
ISSN: 2045-2322
DOI: 10.1038/s41598-023-47711-7
URL: https://www.nature.com/articles/s41598-023-47711-7
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2021
Machine Learning-Based Generalized Model for Finite Element Analysis of Roll Deflection During the Austenitic Stainless Steel 316L Strip Rolling
(2021), p. (non-FAU publication)
Open Access: https://arxiv.org/abs/2102.02470
URL: https://arxiv.org/abs/2102.02470
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(Techreport)
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Conversion Between Cubic Bezier Curves and Catmull-Rom Splines
In: SN Computer Science 2 (2021), Article No.: 398
ISSN: 2661-8907
DOI: 10.1007/s42979-021-00770-x
URL: https://link.springer.com/article/10.1007/s42979-021-00770-x
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How Will Your Tweet Be Received? Predicting the Sentiment Polarity of Tweet Replies
IEEE 15th International Conference on Semantic Computing (ICSC) (Laguna Hills, CA, USA, January 27, 2021 - January 29, 2021)
In: IEEE (ed.): 2021 IEEE 15th International Conference on Semantic Computing (ICSC) 2021
DOI: 10.1109/ICSC50631.2021.00068
URL: https://ieeexplore.ieee.org/document/9364527
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2020
An Empirical Study on Text-Independent Speaker Verification based on the GE2E Method
(2020)
DOI: 10.48550/arXiv.2011.04896
URL: https://arxiv.org/abs/2011.04896
BibTeX: Download
(Techreport)
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Selected Peer-Reviewer Roles
- Nature Communications, Nature Portfolio (1x; Since 2024)
- Medical Image Analysis, Journal of the MICCAI Society (1x; Since 2024)
- Eurosurveillance, European Centre for Disease Prevention and Control (1x; Since 2024)
- IEEE Transactions on Medical Imaging, IEEE (1x; Since 2024)
- npj Precision Oncology, Nature Portfolio (1x; Since 2023)
- European Radiology Experimental, SpringerOpen | European Society of Radiology (8x; Since 2023)
- Computerized Medical Imaging and Graphics, Elsevier (1x; Since 2024)
- PLoS ONE, Public Library of Science (1x; Since 2024)
- Advances in Continuous and Discrete Models, SpringerOpen (3x; 2021 – 2022)
- JMIR Medical Education, JMIR Publications (1x; Since 2024)
- Health Informatics Journal, Sage Publications (1x; 2024)
- IET Signal Processing, IET (5x; 2020 – 2023)
Talks
- S. Tayebi Arasteh et al., “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 et al., “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 et al., “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 et al., “Automatic Evaluation of Chest Radiographs – The Data Source Matters, But How Much Exactly?” 104. Deutscher Röntgenkongress, Wiesbaden, Germany, 2023
- S. Tayebi Arasteh et al., “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 et al., “Secure Federated Learning for Decentralized Collaboration in Development of AI Models.” 108th RSNA annual meeting, Chicago, IL, USA, Nov-Dec 2022
Lectures
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