40 citations · 45 across the 4 of their papers we have counts for
3 papers · 1 filter
Early detection of knee osteoarthritis using deep learning on knee magnetic resonance images
Anastasis Alexopoulos, Jukka Hirvasniemi, Nazli Tümer
The aim of this study was to investigate the influence of MRI and patient data on the prediction of knee osteoarthritis (OA) incidence using different deep learning architectures.…
Bone Texture Analysis for Prediction of Incident Radio-graphic Hip Osteoarthritis Using Machine Learning: Data from the Cohort Hip and Cohort Knee (CHECK) study
Jukka Hirvasniemi, Willem Paul Gielis, Saeed Arbabi +4
Our aim was to assess the ability of radiography-based bone texture parameters in proximal femur and acetabulum to predict incident radiographic hip osteoarthritis (rHOA) over a 10…
Bone Density and Texture from Minimally Post-Processed Knee Radiographs in Subjects with Knee Osteoarthritis
Jukka Hirvasniemi, Jaakko Niinimäki, Jérôme Thevenot +1
Plain radiography is the most common modality to assess the stage of osteoarthritis. Our aims were to assess the relationship of radiography-based bone density and texture between…