Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

How AI May Transform Musculoskeletal Imaging
Ali Guermazi, Patrick Omoumi, Mickaël Tordjman, et al.
Radiology (2024) Vol. 310, Iss. 1
Closed Access | Times Cited: 16

Showing 16 citing articles:

Deep Learning Superresolution for Simultaneous Multislice Parallel Imaging–Accelerated Knee MRI Using Arthroscopy Validation
Sven Walter, Jan Vosshenrich, Tatiane Cantarelli Rodrigues, et al.
Radiology (2025) Vol. 314, Iss. 1
Closed Access | Times Cited: 2
Deep Learning MRI Reconstruction Delivers Superior Resolution and Improved Diagnostics
Mika Nevalainen
Radiology (2025) Vol. 314, Iss. 1
Closed Access | Times Cited: 1
Arthroscopy-validated Diagnostic Performance of 7-Minute Five-Sequence Deep Learning Super-Resolution 3-T Shoulder MRI
Jan Vosshenrich, Mary Bruno, Tatiane Cantarelli Rodrigues, et al.
Radiology (2025) Vol. 314, Iss. 2
Closed Access | Times Cited: 1
Artificial intelligence in radiology
Guillermo Elizondo‐Riojas, Adrián A. Negreros-Osuna, J. Mario Bernal-Ramirez, et al.
Journal of the Mexican Federation of Radiology and Imaging (2024) Vol. 3, Iss. 2
Open Access | Times Cited: 5
Artificial intelligence in commercial fracture detection products: a systematic review and meta-analysis of diagnostic test accuracy
Julius Husarek, Silvan Hess, Sam Razaeian, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
Radiology resident competency in orthopedic trauma detection in simulated on-call scenarios
John Ramos Rivas, Kevin Pierre, Abheek Raviprasad, et al.
Emergency Radiology (2025)
Closed Access
The scientific evidence of commercial AI products for MRI acceleration: a systematic review
Stefan J. Fransen, Christian Roest, Frank F.J. Simonis, et al.
European Radiology (2025)
Open Access
Deep Learning Models to Detect Anterior Cruciate Ligament Injury on MRI: A Comprehensive Review
Michele Mercurio, Federica Denami, Dimitra Melissaridou, et al.
Diagnostics (2025) Vol. 15, Iss. 6, pp. 776-776
Open Access
Generative Artificial Intelligence and Musculoskeletal Health Care
Kyle N. Kunze
HSS Journal® The Musculoskeletal Journal of Hospital for Special Surgery (2025)
Closed Access
Osteoarthritis Year in Review 2024: Imaging
Daichi Hayashi, Frank W. Roemer, Ali Guermazi
Osteoarthritis and Cartilage (2024)
Closed Access | Times Cited: 2
AI is indeed helpful but it should always be monitored!
Ali Guermazi
Diagnostic and Interventional Imaging (2024) Vol. 105, Iss. 3, pp. 83-84
Closed Access | Times Cited: 1
Artificial intelligence for automated detection and measurements of carpal instability signs on conventional radiographs
Nils Hendrix, Ward Hendrix, Bas Maresch, et al.
European Radiology (2024) Vol. 34, Iss. 10, pp. 6600-6613
Open Access | Times Cited: 1
Identification and classification of musculoskeletal conditions using artificial intelligence and machine learning
Ritesh Bhat, V. Santhanam, K. Sekar, et al.
Elsevier eBooks (2024), pp. 21-37
Closed Access | Times Cited: 1
Navigating the future of artificial intelligence and fracture detection of the spine and extremities—“friend not foe”
Ali Guermazi
European Radiology (2024)
Closed Access
AI and the Potential for Uniform and Scalable Grading of Knee Osteoarthritis
John A. Carrino
Radiology (2024) Vol. 312, Iss. 1
Closed Access
Reading Times of Common Musculoskeletal MRI Examinations: A Survey Study
Robert M. Kwee, Asaad A. H. Amasha, Thomas C. Kwee
Tomography (2024) Vol. 10, Iss. 9, pp. 1527-1533
Open Access
Deep Learning and Transfer Learning for Brain Tumor Detection and Classification
Faris Rustom, Pedram Parva, Haluk Öğmen, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Page 1

Scroll to top