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Matthew Marzetti

PhD student, Erasmus MC

Clinical Scientist, Leeds Treaching Hospitals NHS Trust

PhD student, University of Leeds

Interests

  • MRI
  • Quantitative MRI
  • Soft-tissue tumors / sarcoma
  • Radiomics
  • Deep Learning
  • Oncology

Education

  • MSc Medical Physics, 2015

    University of Glasgow

  • BSc Computational Physics, 2014

    University of Edinburgh

Research lines

  • Artificial Intelligence for Integrated Diagnostics (AIID)
  • Applied Medical Image Analysis

Biography

Research

Matthew Marzetti started his PhD project, Novel Applications for Sarcoma Assessment (NASA) in May 2023, which aims to use routinely acquired MRI images, quantitative MRI images and artificial intelligence to help distinguish between benign musculoskeletal soft tissue masses and soft tissue sarcomas. During his doctoral fellowship, Matthew is supervised by both academic and clinical experts at the University of Leeds, the Erasmus Medical Centre and the Leeds Teaching Hospitals NHS Trust.

Background

Matthew Marzetti graduated from the University of Edinburgh, Scotland in 2014 with a BSc in computational physics. Following his graduation, Matthew was employed onto NHS Scotland’s Medical Physics and Engineering Training program. During this training program he completed his MSc in Medical Physics at the University of Glasgow in 2015 and became a registered Medical Physicist in the UK in 2018.

Matthew has worked as a Medical Physicist in Myanmar, before moving to Leeds in the UK where he was worked as a clinical Medical Physicist since August 2019. In 2023 Matthew was successful in securing funding to undertake a PhD alongside his clinical work.

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