1 citations · 1 across the 2 of their papers we have counts for
3 papers
Multi-classifier prediction of knee osteoarthritis progression from incomplete imbalanced longitudinal data
Paweł Widera, Paco M. J. Welsing, Christoph Ladel +7
Conventional inclusion criteria used in osteoarthritis clinical trials are not very effective in selecting patients who would benefit from a therapy being tested. Typically majorit…
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…
CT synthesis from MR images for orthopedic applications in the lower arm using a conditional generative adversarial network
Frank Zijlstra, Koen Willemsen, Mateusz C. Florkow +5
Purpose: To assess the feasibility of deep learning-based high resolution synthetic CT generation from MRI scans of the lower arm for orthopedic applications. Methods: A conditiona…