Leila Hassanlou

leilahassanlou

Leila has a BSc in Electrical Engineering (Electronics) from Urmia University and an MSc in Biomedical Engineering from the University of Tabriz, Iran, with training in medical image processing.

She is a doctoral researcher in a dual-degree programme between the University of Oulu (Medical Physics and Technology) and Lund University (Medical Science, Orthopaedics), funded by the I4WORLD Marie Skłodowska-Curie COFUND programme.

Her project develops MRI-based biomarkers for the early detection of knee osteoarthritis after anterior cruciate ligament injury. She studies early changes in cartilage and bone, and applies machine learning to find imaging patterns that predict who goes on to develop osteoarthritis. Her time at Lund University is spent on osteoarthritis epidemiology, longitudinal cohort data, and the statistical methods used to analyse them.

Research interests: deep learning, computer vision, medical image analysis, musculoskeletal imaging, clinical data analysis, and biostatistics.

Research interests

  • Machine Learning
  • Medical Image Analysis
  • Deep Learning
  • Clinical Epidemiology
  • Statistics

Researcher information

Researcher profiles

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Contact information

E-mail

leila.hassanlou@oulu.fi

Visiting address

Aapistie 5A
FI-90220 Oulu
Finland