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Annals of Biomedical Engineering|February 16, 2019
Bone Density and Texture from Minimally Post-Processed Knee Radiographs in Subjects with Knee OsteoarthritisJukka Hirvasniemi, Jaakko Niinimäki, Jérôme Thevenot, et al.
Annals of Biomedical Engineering|July 11, 2020
Discrimination of Low-Energy Acetabular Fractures from Controls Using Computed Tomography-Based Bone CharacteristicsRobel K Gebre, Jukka Hirvasniemi, Iikka Lantto, et al.
Bone|July 9, 2019
Structural risk factors for low-energy acetabular fracturesRobel K Gebre, Jukka Hirvasniemi, Iikka Lantto, et al.
Scientific Reports|December 4, 2018
Comparison of bone texture between normal individuals and patients with Kashin-Beck disease from plain radiographs in kneeWenrong Li, Jukka Hirvasniemi, Xiong Guo, et al.
JBMR Plus|February 18, 2026
ORMIR-MIDS: an open standard for curating and sharing musculoskeletal imaging dataFrancesco Santini, Maria Monzon, Simone Poncioni, et al.
Radiology|March 14, 2014
Assessment of risk of femoral neck fracture with radiographic texture parameters: a retrospective studyJérôme Thevenot, Jukka Hirvasniemi, Pasi Pulkkinen, et al.
Scientific Reports|October 2, 2021
Acoustic emissions and kinematic instability of the osteoarthritic knee joint: comparison with radiographic findingsMika T Nevalainen, Olli Veikkola, Jerome Thevenot, et al.
European Radiology|April 22, 2021
A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial boneJukka Hirvasniemi, Stefan Klein, Sita Bierma-Zeinstra, et al.
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