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Super‐resolution musculoskeletal MRI using deep learning

Magnetic resonance in medicine, 2018-11, Vol.80 (5), p.2139-2154

2018

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SEMAC: Slice encoding for metal artifact correction in MRI

Magnetic resonance in medicine, 2009-07, Vol.62 (1), p.66-76

2009

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Routine 3D magnetic resonance imaging of joints

Journal of magnetic resonance imaging, 2011-04, Vol.33 (4), p.758-771

2011

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pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage

PloS one, 2020-01, Vol.15 (1), p.e0226501-e0226501

2020

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Articular cartilage in the knee: current MR imaging techniques and applications in clinical practice and research

Radiographics, 2011-01, Vol.31 (1), p.37

2011

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Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

Journal of magnetic resonance imaging, 2020-03, Vol.51 (3), p.768-779

2020

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Automatic estimation of knee effusion from limited MRI data

Scientific reports, 2022-02, Vol.12 (1), p.3155-3155, Article 3155

2022

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A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions

Scientific reports, 2024-04, Vol.14 (1), p.8253-8253, Article 8253

2024

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Knee muscle forces during walking and running in patellofemoral pain patients and pain-free controls

Journal of biomechanics, 2009-05, Vol.42 (7), p.898-905

2009

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MR Imaging of Articular Cartilage Physiology

Magnetic resonance imaging clinics of North America, 2011-05, Vol.19 (2), p.249-282

2011

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Detection of knee synovitis using non-contrast-enhanced qDESS compared with contrast-enhanced MRI

Arthritis research & therapy, 2021-02, Vol.23 (1), p.55-55, Article 55

2021

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Image-based musculoskeletal modeling: Applications, advances, and future opportunities

Journal of magnetic resonance imaging, 2007-02, Vol.25 (2), p.441-451

2007

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T2 relaxation times of knee cartilage in 109 patients with knee pain and its association with disease characteristics

Acta orthopaedica, 2021-05, Vol.92 (3), p.335-340

2021

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Diffusion Tensor Imaging of Skeletal Muscle Contraction Using Oscillating Gradient Spin Echo

Frontiers in neurology, 2021-02, Vol.12, p.608549-608549

2021

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Diagnosis of osteoarthritis: Imaging

Bone (New York, N.Y.), 2012-08, Vol.51 (2), p.278-288

2012

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New MR imaging methods for metallic implants in the knee: Artifact correction and clinical impact

Journal of magnetic resonance imaging, 2011-05, Vol.33 (5), p.1121-1127

2011

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The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

Radiology. Artificial intelligence, 2021-05, Vol.3 (3), p.e200078-e200078

2021

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The influence of femoral internal and external rotation on cartilage stresses within the patellofemoral joint

Journal of orthopaedic research, 2008-12, Vol.26 (12), p.1627-1635

2008

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Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning

Bioengineering (Basel), 2023-02, Vol.10 (2), p.207

2023

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Imaging of the wrist at 1.5 tesla using isotropic three-dimensional fast spin echo cube

Journal of magnetic resonance imaging, 2011-04, Vol.33 (4), p.908-915

2011

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Applications of PET–Computed Tomography–Magnetic Resonance in the Management of Benign Musculoskeletal Disorders

PET clinics, 2019-01, Vol.14 (1), p.1-15

2019

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T1-weighted sodium MRI of the articulator cartilage in osteoarthritis: a cross sectional and longitudinal study

PloS one, 2013-08, Vol.8 (8), p.e73067-e73067

2013

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Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Journal of magnetic resonance imaging, 2020-11, Vol.52 (5), p.1321-1339

2020

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Applications of PET‐MRI in musculoskeletal disease

Journal of magnetic resonance imaging, 2018-07, Vol.48 (1), p.27-47

2018

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Fat-suppression techniques for 3-T MR imaging of the musculoskeletal system

Radiographics, 2014-01, Vol.34 (1), p.217

2014

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Super‐resolution musculoskeletal MRI using deep learning

SEMAC: Slice encoding for metal artifact correction in MRI

Routine 3D magnetic resonance imaging of joints

pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage

Articular cartilage in the knee: current MR imaging techniques and applications in clinical practice and research

Utility of deep learning super‐resolution in the context of osteoarthritis MRI biomarkers

Automatic estimation of knee effusion from limited MRI data

A deep learning approach for fast muscle water T2 mapping with subject specific fat T2 calibration from multi-spin-echo acquisitions

Knee muscle forces during walking and running in patellofemoral pain patients and pain-free controls

MR Imaging of Articular Cartilage Physiology

Detection of knee synovitis using non-contrast-enhanced qDESS compared with contrast-enhanced MRI

Image-based musculoskeletal modeling: Applications, advances, and future opportunities

T2 relaxation times of knee cartilage in 109 patients with knee pain and its association with disease characteristics

Diffusion Tensor Imaging of Skeletal Muscle Contraction Using Oscillating Gradient Spin Echo

Diagnosis of osteoarthritis: Imaging

New MR imaging methods for metallic implants in the knee: Artifact correction and clinical impact

The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset

The influence of femoral internal and external rotation on cartilage stresses within the patellofemoral joint

Improving Data-Efficiency and Robustness of Medical Imaging Segmentation Using Inpainting-Based Self-Supervised Learning

Imaging of the wrist at 1.5 tesla using isotropic three-dimensional fast spin echo cube

Applications of PET–Computed Tomography–Magnetic Resonance in the Management of Benign Musculoskeletal Disorders

T1-weighted sodium MRI of the articulator cartilage in osteoarthritis: a cross sectional and longitudinal study

Rapid Knee MRI Acquisition and Analysis Techniques for Imaging Osteoarthritis

Applications of PET‐MRI in musculoskeletal disease

Fat-suppression techniques for 3-T MR imaging of the musculoskeletal system

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