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Gels (Basel, Switzerland)|March 29, 2019
Self-Assembly of Colloidal Nanocomposite Hydrogels Using 1D Cellulose Nanocrystals and 2D Exfoliated Organoclay LayersTakumi Okamoto, Avinash J Patil, Tomi Nissinen, et al.
Clinical Epidemiology|September 26, 2023
Combining Register and Radiological Visits Data Allows to Reliably Identify Incident Wrist FracturesTomi Nissinen, Reijo Sund, Sanna Suoranta, et al.
Osteoporosis International : a Journal Established As Result of Cooperation Between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA|February 6, 2025
Identifying proximal humerus fractures: an algorithmic approach using registers and radiological visit dataTomi Nissinen, Reijo Sund, Sanna Suoranta, et al.
Bone|March 14, 2025
DXA-based 3D finite element models predict hip fractures better than areal BMD in elderly womenLorenzo Grassi, Sami P Väänänen, Antti Voss, et al.
Bone|June 24, 2025
Relation of lateral lumbar spine DXA to age-related bone loss, aortic calcification, scoliosis and vertebral degeneration: Analysis of over 10,000 patientsNina E Hänninen, Antti Voss, Suvi Hartikainen, et al.
Computers in Biology and Medicine|August 23, 2025
Deep learning ensemble for abdominal aortic calcification scoring from lumbar spine X-ray and DXA imagesAntti Voss, Sanna Suoranta, Tomi Nissinen, et al.
Bone Reports|May 17, 2021
Detecting pathological features and predicting fracture risk from dual-energy X-ray absorptiometry images using deep learningTomi Nissinen, Sanna Suoranta, Taavi Saavalainen, et al.
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