79 citations · 80 across the 5 of their papers we have counts for
5 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…
Neural network prediction of load from the morphology of trabecular bone
Amir A. Zadpoor, Gianni Campoli, Harrie Weinans
Bone adaptation models are often solved in the forward direction, meaning that the response of bone to a given set of loads is determined by running a bone tissue adaptation model.…
Thermal Fluctuations of Anisotropic Semiflexible Polymers
Sander L. Poelert, Harrie H. Weinans, Amir A. Zadpoor
Thermal fluctuations of microtubules (MTs) and other cytoskeletal filaments govern to a great extent the complex rheological properties of the cytoskeleton in eukaryotic cells. In…