40 citations · 116 across the 19 of their papers we have counts for
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eess.IV2023
End-To-End Prediction of Knee Osteoarthritis Progression With Multi-Modal Transformers
Egor Panfilov, Simo Saarakkala, Miika T. Nieminen +1
Knee Osteoarthritis (KOA) is a highly prevalent chronic musculoskeletal condition with no currently available treatment. The manifestation of KOA is heterogeneous and prediction of…
eess.IV2023
Deep Learning for Predicting Progression of Patellofemoral Osteoarthritis Based on Lateral Knee Radiographs, Demographic Data and Symptomatic Assessments
Neslihan Bayramoglu, Martin Englund, Ida K. Haugen +2
In this study, we propose a novel framework that utilizes deep learning (DL) and attention mechanisms to predict the radiographic progression of patellofemoral osteoarthritis (PFOA…