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

2021

2020

Selected Peer-Reviewer Roles

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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