Mehdi Astaraki

Mehdi Astaraki

Affiliated to Research | Research Specialist
Visiting address: Hälsovägen, Enheten för funktion och teknologi C2:76, 14186 Stockholm
Postal address: H9 Klinisk vetenskap, intervention och teknik, H9 CLINTEC Radiologi Funktion och teknologi, 141 52 Huddinge

About me

  • Mehdi Astaraki is a postdoctoral researcher at the Division of Medical Radiation Physics at SU with a passion for applying deep learning (DL) and machine learning (ML) methods to cancer imaging analysis. He aims to develop imaging biomarkers for diagnosis, prognosis, and prediction of cancer stages, cancer development, treatment efficacy, and radiation treatment planning. He earned both his bachelor's and master's degrees in Biomedical Engineering. In September 2022, he earned his Ph.D. degree from the joint program between the Division of Biomedical Imaging at KTH and the Division of Medical Radiation Physics at KI.

Research

  • Mehdi's research interests are primarily focused on the development, evaluation, validation, and deployment of DL and ML models for the diagnosis, prognosis, and treatment planning of different types of cancer including brain tumors, lung tumors, bone metastases, head&neck cancers, and lymph nodes involvement in radiological and molecular imaging such as MRI, CT, and PET. Methodologically, he is interested in supervised learning, representation learning, active learning, and federated learning techniques.

Teaching

  • Mehdi has been teaching in several courses including signal and system analysis, signal processing, medical image processing and analysis, and deep learning for medical image analysis.

Articles

All other publications

Employments

  • Research Specialist, Department of Clinical Science, Intervention and Technology, Karolinska Institutet, 2025-2026
  • Affiliated to Research, Department of Oncology-Pathology, Karolinska Institutet, 2023-2025

Degrees and Education

  • Doctor Of Philosophy, Karolinska Institutet, 2022

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