Detalhe da pesquisa
1.
The KNee OsteoArthritis Prediction (KNOAP2020) challenge: An image analysis challenge to predict incident symptomatic radiographic knee osteoarthritis from MRI and X-ray images.
Osteoarthritis Cartilage
; 31(1): 115-125, 2023 01.
Artigo
Inglês
| MEDLINE | ID: mdl-36243308
2.
Osteoarthritis year in review 2021: imaging.
Osteoarthritis Cartilage
; 30(2): 226-236, 2022 02.
Artigo
Inglês
| MEDLINE | ID: mdl-34838670
3.
Detecting hip osteoarthritis on clinical CT: a deep learning application based on 2-D summation images derived from CT.
Osteoporos Int
; 33(2): 355-365, 2022 Feb.
Artigo
Inglês
| MEDLINE | ID: mdl-34476540
4.
Adaptive segmentation of knee radiographs for selecting the optimal ROI in texture analysis.
Osteoarthritis Cartilage
; 28(7): 941-952, 2020 07.
Artigo
Inglês
| MEDLINE | ID: mdl-32205275
5.
Bone texture analysis for prediction of incident radiographic hip osteoarthritis using machine learning: data from the Cohort Hip and Cohort Knee (CHECK) study.
Osteoarthritis Cartilage
; 27(6): 906-914, 2019 06.
Artigo
Inglês
| MEDLINE | ID: mdl-30825609
6.
Association between radiography-based subchondral bone structure and MRI-based cartilage composition in postmenopausal women with mild osteoarthritis.
Osteoarthritis Cartilage
; 25(12): 2039-2046, 2017 12.
Artigo
Inglês
| MEDLINE | ID: mdl-28964891
7.
Quantification of differences in bone texture from plain radiographs in knees with and without osteoarthritis.
Osteoarthritis Cartilage
; 22(10): 1724-31, 2014 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-25278081
8.
In vivo comparison of delayed gadolinium-enhanced MRI of cartilage and delayed quantitative CT arthrography in imaging of articular cartilage.
Osteoarthritis Cartilage
; 21(3): 434-42, 2013 Mar.
Artigo
Inglês
| MEDLINE | ID: mdl-23274105
9.
Arthroscopic ultrasound technique for simultaneous quantitative assessment of articular cartilage and subchondral bone: an in vitro and in vivo feasibility study.
Ultrasound Med Biol
; 39(8): 1460-8, 2013 Aug.
Artigo
Inglês
| MEDLINE | ID: mdl-23743098