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Atlas of individual radiographic features in osteoarthritis, revised

Osteoarthritis and cartilage, 2007, Vol.15, p.A1-A56

2007

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OARSI Clinical Trials Recommendations: Hip imaging in clinical trials in osteoarthritis

Osteoarthritis and cartilage, 2015-05, Vol.23 (5), p.716-731

2015

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OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis

Osteoarthritis and cartilage, 2015-05, Vol.23 (5), p.698-715

2015

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Magnetic resonance imaging near metal implants

Journal of magnetic resonance imaging, 2010-10, Vol.32 (4), p.773-787

2010

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Prediction of glycosaminoglycan content in human cartilage by age, T1ρ and T2 MRI

Osteoarthritis and cartilage, 2011-02, Vol.19 (2), p.171-179

2011

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Multivariate pattern analysis of physical activity and cartilage health: data from the osteoarthritis initiative

Osteoarthritis and cartilage, 2017-04, Vol.25, p.S127-S128

2017

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Regional variation in T1ρ and T2 times in osteoarthritic human menisci: correlation with mechanical properties and matrix composition

Osteoarthritis and cartilage, 2013-06, Vol.21 (6), p.796-805

2013

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Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy

Osteoarthritis and cartilage, 2005-09, Vol.13 (9), p.782-789

2005

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MRI of weight bearing and movement

Osteoarthritis and cartilage, 2012-02, Vol.20 (2), p.69-78

2012

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Variability of CubeQuant T1ρ , quantitative DESS T2 , and cones sodium MRI in knee cartilage

Osteoarthritis and cartilage, 2014-10, Vol.22 (10), p.1559-1567

2014

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DIagnosis of morphological internal knee derangements associated with osteoarthritis on magnetic resonance imaging sequences for quantitative T2 and T1rho mapping of articular cartilage composition

Osteoarthritis and cartilage, 2014-04, Vol.22, p.S278-S278

2014

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Dynamic imaging of [18f]-fluoride uptake in knee osteoarthritis with PET-MRI

Osteoarthritis and cartilage, 2016-04, Vol.24, p.S314-S315

2016

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UTE T2∗ mapping detects sub-clinical meniscus degeneration

Osteoarthritis and cartilage, 2012-06, Vol.20 (6), p.471-472

2012

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346 IN VIVOFULL-JOINT SODIUM MR OF THE KNEE FOR PROTEOGLYCAN ASSESSMENT

Osteoarthritis and cartilage, 2007, Vol.15, p.C193-C194

Gold, G.E

2007

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OARSI Clinical Trials Recommendations: Hand imaging in clinical trials in osteoarthritis

Osteoarthritis and cartilage, 2015-05, Vol.23 (5), p.732-746

2015

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Tibial cartilage creep during weight bearing: in vivo 3D CT assessment

Osteoarthritis and cartilage, 2016-04, Vol.24, p.S104-S104

2016

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Non-contrast diffusion weighted imaging for the assessment of knee synovitis: a comparative study against contrast-enhanced MRI

Osteoarthritis and cartilage, 2014-04, Vol.22, p.S252-S252

2014

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MR imaging of articular cartilage at 1.5T and 3.0T: comparison of SPGR and SSFP sequences

Osteoarthritis and cartilage, 2005-04, Vol.13 (4), p.338-344

2005

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Automated, non-contrast MRI for detection of synovitis using diffusion-weighted dess

Osteoarthritis and cartilage, 2015-04, Vol.23, p.A240-A241

2015

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Reproducibility of sodium MRI measures of articular cartilage of the knee in osteoarthritis

Osteoarthritis and cartilage, 2012-01, Vol.20 (1), p.29-35

2012

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Predicting Chronic Knee Pain Using An Automated Mri-Based Bone And Cartilage Statistical Shape Model: Data From The Osteoarthritis Initiative

Osteoarthritis and cartilage, 2023-03, Vol.31, p.S78-S79

2023

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Corrigendum to “OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis” [Osteoarthritis Cartilage (2015) 698–715]

Osteoarthritis and cartilage, 2015-08, Vol.23 (8), p.1434-1435

2015

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A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis

Osteoarthritis and cartilage, 2021-03, Vol.29 (3), p.346-356

2021

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Automated staging of knee osteoarthritis severity using deep neural networks

Osteoarthritis and cartilage, 2018-04, Vol.26, p.S441-S441

2018

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A simple analytic method for estimating T2 in the knee from DESS

Magnetic resonance imaging, 2017-05, Vol.38, p.63-70

2017

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Atlas of individual radiographic features in osteoarthritis, revised

OARSI Clinical Trials Recommendations: Hip imaging in clinical trials in osteoarthritis

OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis

Magnetic resonance imaging near metal implants

Prediction of glycosaminoglycan content in human cartilage by age, T1ρ and T2 MRI

Multivariate pattern analysis of physical activity and cartilage health: data from the osteoarthritis initiative

Regional variation in T1ρ and T2 times in osteoarthritic human menisci: correlation with mechanical properties and matrix composition

Considerations in measuring cartilage thickness using MRI: factors influencing reproducibility and accuracy

MRI of weight bearing and movement

Variability of CubeQuant T1ρ , quantitative DESS T2 , and cones sodium MRI in knee cartilage

DIagnosis of morphological internal knee derangements associated with osteoarthritis on magnetic resonance imaging sequences for quantitative T2 and T1rho mapping of articular cartilage composition

Dynamic imaging of [18f]-fluoride uptake in knee osteoarthritis with PET-MRI

UTE T2∗ mapping detects sub-clinical meniscus degeneration

346 IN VIVOFULL-JOINT SODIUM MR OF THE KNEE FOR PROTEOGLYCAN ASSESSMENT

OARSI Clinical Trials Recommendations: Hand imaging in clinical trials in osteoarthritis

Tibial cartilage creep during weight bearing: in vivo 3D CT assessment

Non-contrast diffusion weighted imaging for the assessment of knee synovitis: a comparative study against contrast-enhanced MRI

MR imaging of articular cartilage at 1.5T and 3.0T: comparison of SPGR and SSFP sequences

Automated, non-contrast MRI for detection of synovitis using diffusion-weighted dess

Reproducibility of sodium MRI measures of articular cartilage of the knee in osteoarthritis

Predicting Chronic Knee Pain Using An Automated Mri-Based Bone And Cartilage Statistical Shape Model: Data From The Osteoarthritis Initiative

Corrigendum to “OARSI Clinical Trials Recommendations: Knee imaging in clinical trials in osteoarthritis” [Osteoarthritis Cartilage (2015) 698–715]

A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis

Automated staging of knee osteoarthritis severity using deep neural networks

A simple analytic method for estimating T2 in the knee from DESS

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