Skeletal Radiology

Papers
(The H4-Index of Skeletal Radiology is 21. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Musculoskeletal involvement of COVID-19: review of imaging90
A comparison of ChatGPT-generated articles with human-written articles74
MRI nomenclature for musculoskeletal infection63
Subacromial-subdeltoid bursitis following COVID-19 vaccination: a case of shoulder injury related to vaccine administration (SIRVA)50
A fully automated rib fracture detection system on chest CT images and its impact on radiologist performance42
Deep learning approach to predict pain progression in knee osteoarthritis40
Improved visualization of the wrist at lower radiation dose with photon-counting-detector CT38
Society of Skeletal Radiology– white paper. Guidelines for the diagnostic management of incidental solitary bone lesions on CT and MRI in adults: bone reporting and data system (Bone-RADS)38
Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches34
Fully automated deep learning for knee alignment assessment in lower extremity radiographs: a cross-sectional diagnostic study33
MRI in axial spondyloarthritis: understanding an ‘ASAS-positive MRI’ and the ASAS classification criteria29
Artificial intelligence in musculoskeletal imaging: a perspective on value propositions, clinical use, and obstacles26
Imaging of treatment response and minimal residual disease in multiple myeloma: state of the art WB-MRI and PET/CT25
A new radiological index for the assessment of higher body fat status and lumbar spine degeneration25
Automated detection of acute appendicular skeletal fractures in pediatric patients using deep learning25
Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI25
Emerging role of integrated PET-MRI in osteoarthritis22
AI musculoskeletal clinical applications: how can AI increase my day-to-day efficiency?22
Detailed bone assessment of the sacroiliac joint in a prospective imaging study: comparison between computed tomography, zero echo time, and black bone magnetic resonance imaging22
The Dixon method in musculoskeletal MRI: from fat-sensitive to fat-specific imaging22
Bone marrow aspiration and biopsy: techniques and practice implications22
Deep learning for accurately recognizing common causes of shoulder pain on radiographs21
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