Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT

por Gebre, R. K., Hirvasniemi, J., van der Heijden, R. A., Lantto, I., Saarakkala, S., Leppilahti, J., Jämsä, T.
Publicado 2021

Prevalence of small osteophytes on knee MRI in several large clinical and population-based studies of various age groups and OA risk factors

por De Kanter, J.L.M., Oei, E.H.G., Schiphof, D., Van Meer, B.L., Van Middelkoop, M., Reijman, M., Bierma-Zeinstra, S.M.A., Runhaar, J., Van der Heijden, R.A.
Publicado 2021

The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images

por Hirvasniemi, J., Runhaar, J., van der Heijden, R.A., Zokaeinikoo, M., Yang, M., Li, X., Tan, J., Rajamohan, H.R., Zhou, Y., Deniz, C.M., Caliva, F., Iriondo, C., Lee, J.J., Liu, F., Martinez, A.M., Namiri, N., Pedoia, V., Panfilov, E., Bayramoglu, N., Nguyen, H.H., Nieminen, M.T., Saarakkala, S., Tiulpin, A., Lin, E., Li, A., Li, V., Dam, E.B., Chaudhari, A.S., Kijowski, R., Bierma-Zeinstra, S., Oei, E.H.G., Klein, S.
Publicado 2023