Jukka Hirvasniemi
Assistant Professor, Erasmus MC
Interests
- Musculoskeletal Image Analysis
- Deep Learning
- Radiomics
- Disease Prediction
- Osteoarthritis
Education
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PhD in Medical Physics and Technology, 2015
University of Oulu, Finland
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MSc (tech) in Computer Science, 2018
University of Oulu, Finland
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MSc in Biomedical Engineering, 2011
University of Oulu, Finland
Research lines
Biography
Jukka Hirvasniemi is an Assistant Professor at the Department of Radiology & Nuclear Medicine, Erasmus MC University Medical Center Rotterdam and leads the research line on Musculoskeletal Image Analysis at the Biomedical Imaging Group Rotterdam (BIGR). His research interests include the use of artificial intelligence and advanced image analysis techniques to improve diagnosis and prediction of musculoskeletal diseases.
Jukka received his PhD degree in 2015 with his thesis entitled Novel X-ray-based methods for diagnostics of osteoarthritis at University of Oulu. He received a 3-year postdoctoral research grant from Academy of Finland in 2017 and was awarded with a 2-year Marie Skłodowska-Curie COFUND postdoctoral fellowship in 2018. He received a title of Docent (Adjunct Professor) in Medical Image Analysis from University of Oulu in 2019. He has co-supervised 1 PhD student, is currently a technical advisor for one PhD student, and is currently supervising 3 MSc students. He is a lecturer in the Advanced Image Processing course in the Technical Medicine MSc programme. He is a member of editorial board of Frontiers in Biomechanics and editor of the “Advances in Musculoskeletal Imaging” research topic in Frontiers in Physiology. He organized the KNOAP challenge, which compared image-based algorithms for prediction of incident knee osteoarthritis.