| In vivo comparison of delayed gadolinium-enhanced MRI of cartilage and delayed quantitative CT arthrography in imaging of articular cartilage J Hirvasniemi, KAM Kulmala, E Lammentausta, R Ojala, P Lehenkari, ... Osteoarthritis and cartilage 21 (3), 434-442, 2013 | 57 | 2013 |
| Association between quantitative MRI and ICRS arthroscopic grading of articular cartilage V Casula, J Hirvasniemi, P Lehenkari, R Ojala, M Haapea, S Saarakkala, ... Knee Surgery, Sports Traumatology, Arthroscopy 24, 2046-2054, 2016 | 54 | 2016 |
| Quantification of differences in bone texture from plain radiographs in knees with and without osteoarthritis J Hirvasniemi, J Thevenot, V Immonen, T Liikavainio, P Pulkkinen, ... Osteoarthritis and cartilage 22 (10), 1724-1731, 2014 | 47 | 2014 |
| Ultrasound arthroscopy of human knee cartilage and subchondral bone in vivo J Liukkonen, P Lehenkari, J Hirvasniemi, A Joukainen, T Virén, ... Ultrasound in medicine & biology 40 (9), 2039-2047, 2014 | 46 | 2014 |
| Assessment of risk of femoral neck fracture with radiographic texture parameters: a retrospective study J Thevenot, J Hirvasniemi, P Pulkkinen, M Määttä, R Korpelainen, ... Radiology 272 (1), 184-191, 2014 | 41 | 2014 |
| Arthroscopic ultrasound technique for simultaneous quantitative assessment of articular cartilage and subchondral bone: an in vitro and in vivo feasibility study J Liukkonen, J Hirvasniemi, A Joukainen, P Penttilä, T Virén, ... Ultrasound in medicine & biology 39 (8), 1460-1468, 2013 | 38 | 2013 |
| Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis N Bayramoglu, A Tiulpin, J Hirvasniemi, MT Nieminen, S Saarakkala Osteoarthritis and cartilage 28 (7), 941-952, 2020 | 31 | 2020 |
| Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study J Hirvasniemi, WP Gielis, S Arbabi, R Agricola, WE van Spil, V Arbabi, ... Osteoarthritis and Cartilage 27 (6), 906-914, 2019 | 29 | 2019 |
| A machine learning approach to distinguish between knees without and with osteoarthritis using MRI-based radiomic features from tibial bone J Hirvasniemi, S Klein, S Bierma-Zeinstra, MW Vernooij, D Schiphof, ... European radiology 31, 8513-8521, 2021 | 28 | 2021 |
| The effect of preprocessing on convolutional neural networks for medical image segmentation KB De Raad, KA van Garderen, M Smits, SR van der Voort, F Incekara, ... 2021 IEEE 18th International Symposium on Biomedical Imaging (ISBI), 655-658, 2021 | 28 | 2021 |
| Correlation of Subchondral Bone Density and Structure from Plain Radiographs with Micro Computed Tomography Ex Vivo J Hirvasniemi, J Thevenot, HT Kokkonen, MA Finnilä, MS Venäläinen, ... Annals of biomedical engineering 44, 1698-1709, 2016 | 28 | 2016 |
| Differences in tibial subchondral bone structure evaluated using plain radiographs between knees with and without cartilage damage or bone marrow lesions-the Oulu Knee … J Hirvasniemi, J Thevenot, A Guermazi, J Podlipská, FW Roemer, ... European radiology 27, 4874-4882, 2017 | 22 | 2017 |
| Bone density and texture from minimally post-processed knee radiographs in subjects with knee osteoarthritis J Hirvasniemi, J Niinimäki, J Thevenot, S Saarakkala Annals of biomedical engineering 47, 1181-1190, 2019 | 17 | 2019 |
| Trabecular homogeneity index derived from plain radiograph to evaluate bone quality J Thevenot, J Hirvasniemi, M Finnilä, P Pulkkinen, V Kuhn, T Link, ... Journal of bone and mineral research 28 (12), 2584-2591, 2013 | 17 | 2013 |
| The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images J Hirvasniemi, J Runhaar, RA van der Heijden, M Zokaeinikoo, M Yang, ... Osteoarthritis and cartilage 31 (1), 115-125, 2023 | 16 | 2023 |
| Association between radiography-based subchondral bone structure and MRI-based cartilage composition in postmenopausal women with mild osteoarthritis J Hirvasniemi, J Thevenot, J Multanen, M Haapea, A Heinonen, ... Osteoarthritis and cartilage 25 (12), 2039-2046, 2017 | 16 | 2017 |
| Rapid CT-based estimation of articular cartilage biomechanics in the knee joint without cartilage segmentation A Mohammadi, KAH Myller, P Tanska, J Hirvasniemi, S Saarakkala, ... Annals of Biomedical Engineering 48, 2965-2975, 2020 | 13 | 2020 |
| Osteoarthritis year in review 2021: imaging EHG Oei, J Hirvasniemi, TA van Zadelhoff, RA van der Heijden Osteoarthritis and Cartilage 30 (2), 226-236, 2022 | 12 | 2022 |
| Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT RK Gebre, J Hirvasniemi, RA van der Heijden, I Lantto, S Saarakkala, ... Osteoporosis International 33 (2), 355-365, 2022 | 9 | 2022 |
| Acoustic emissions and kinematic instability of the osteoarthritic knee joint: Comparison with radiographic findings MT Nevalainen, O Veikkola, J Thevenot, A Tiulpin, J Hirvasniemi, ... Scientific Reports 11 (1), 19558, 2021 | 9 | 2021 |
