Histopathological grading of osteochondral tissue is widely used in osteoarthritis (OA) research, and it is relatively common in post-surgery in vi
Santeri Rytky
M.Sc.
Doctoral student
Biography
Santeri Rytky is currently working as a doctoral student at the Research group of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Finland. He has graduated from the Faculty of Science with a degree in biophysics (18.6.2019).
The research of Santeri Rytky is currently focused on applying artificial intelligence -methods for laboratory- and clinical research on osteoarthritis imaging.
Research interests
- Machine learning
- Contrast-enhanced computed tomography imaging
- Osteoarthritis
Education
- M.Sc. Degree Programme in Physics (2019), University of Oulu, Finland
- B.Sc. Degree Programme in Physics (2018), University of Oulu, Finland
Databases
Research groups
- Doctoral student, Research Unit of MIPT
Selected publications
- Karhula, S. S.; Finnilä, M. A. J.; Rytky, S. J. O.; Cooper, D. M.; Thevenot, J.; Valkealahti, M.; Pritzker, K. P. H.; Haapea, M.; Joukainen, A.; Lehenkari, P.; Kröger, H.; Korhonen, R. K.; Nieminen, H. J.; Saarakkala, S. (2020) Quantifying Subresolution 3D Morphology of Bone with Clinical Computed Tomography. - Annals of biomedical engineering 48 (2), 595-605 . [Original] [Self-archived]