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For: Cantarelli Rodrigues T, Deniz CM, Alaia EF, Gorelik N, Babb JS, Dublin J, Gyftopoulos S. Three-dimensional MRI Bone Models of the Glenohumeral Joint Using Deep Learning: Evaluation of Normal Anatomy and Glenoid Bone Loss. Radiol Artif Intell 2020;2:e190116. [PMID: 33033803 DOI: 10.1148/ryai.2020190116] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2019] [Revised: 06/09/2020] [Accepted: 06/16/2020] [Indexed: 01/17/2023]
Number Cited by Other Article(s)
1
Serfaty A, Cantarelli Rodrigues T, Afonso PD. From Labral Tears to Bone Loss: Imaging the Spectrum of Shoulder Instability. Semin Musculoskelet Radiol 2025;29:417-431. [PMID: 40393500 DOI: 10.1055/s-0045-1806792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2025]
2
Vaswani D, Cohn RM, Walsh PJ. Shoulder Arthroplasty: Preoperative Evaluation and Postoperative Imaging. Semin Musculoskelet Radiol 2025;29:45-59. [PMID: 39933540 DOI: 10.1055/s-0044-1791727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/13/2025]
3
Hess H, Oswald A, Rojas JT, Lädermann A, Zumstein MA, Gerber K. Deep learning algorithms enable MRI-based scapular morphology analysis with values comparable to CT-based assessments. Sci Rep 2025;15:1591. [PMID: 39794358 PMCID: PMC11724003 DOI: 10.1038/s41598-024-84107-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Accepted: 12/19/2024] [Indexed: 01/13/2025]  Open
4
Dai L, Md Johar MG, Alkawaz MH. The diagnostic value of MRI segmentation technique for shoulder joint injuries based on deep learning. Sci Rep 2024;14:28885. [PMID: 39572780 PMCID: PMC11582322 DOI: 10.1038/s41598-024-80441-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2024] [Accepted: 11/19/2024] [Indexed: 11/24/2024]  Open
5
Selçuk T. The Development of a Yolov8-Based Model for the Measurement of Critical Shoulder Angle (CSA), Lateral Acromion Angle (LAA), and Acromion Index (AI) from Shoulder X-ray Images. Diagnostics (Basel) 2024;14:2092. [PMID: 39335771 PMCID: PMC11431194 DOI: 10.3390/diagnostics14182092] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2024] [Revised: 09/09/2024] [Accepted: 09/20/2024] [Indexed: 09/30/2024]  Open
6
Nizinski J, Kaczmarek A, Antonik B, Rauhut S, Tuczynski P, Jakubowski F, Slawski J, Stefaniak J, Lubiatowski P. Reliability of glenoid measurements performed using Multiplanar Reconstruction (MPR) of Magnetic Resonance (MRI) in patients with shoulder instability. INTERNATIONAL ORTHOPAEDICS 2024;48:2129-2136. [PMID: 38833167 PMCID: PMC11246251 DOI: 10.1007/s00264-024-06226-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Accepted: 05/19/2024] [Indexed: 06/06/2024]
7
Levin JM, Lorentz SG, Hurley ET, Lee J, Throckmorton TW, Garrigues GE, MacDonald P, Anakwenze O, Schoch BS, Klifto C. Artificial intelligence in shoulder and elbow surgery: overview of current and future applications. J Shoulder Elbow Surg 2024;33:1633-1641. [PMID: 38430978 DOI: 10.1016/j.jse.2024.01.033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/10/2024] [Accepted: 01/14/2024] [Indexed: 03/05/2024]
8
Carl M, Lall K, Pai D, Chang E, Statum S, Brau A, Chung CB, Fung M, Bae WC. Shoulder Bone Segmentation with DeepLab and U-Net. OSTEOLOGY (BASEL, SWITZERLAND) 2024;4:98-110. [PMID: 39474235 PMCID: PMC11520815 DOI: 10.3390/osteology4020008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/02/2024]
9
Cheng C, Liang X, Guo D, Xie D. Application of Artificial Intelligence in Shoulder Pathology. Diagnostics (Basel) 2024;14:1091. [PMID: 38893618 PMCID: PMC11171621 DOI: 10.3390/diagnostics14111091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 05/16/2024] [Accepted: 05/20/2024] [Indexed: 06/21/2024]  Open
10
Zhao Q, Feng Q, Zhang J, Xu J, Wu Z, Huang C, Yuan H. Glenoid segmentation from computed tomography scans based on a 2-stage deep learning model for glenoid bone loss evaluation. J Shoulder Elbow Surg 2023;32:e624-e635. [PMID: 37308073 DOI: 10.1016/j.jse.2023.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Revised: 04/16/2023] [Accepted: 05/06/2023] [Indexed: 06/14/2023]
11
Silva FD, Ramachandran S, Chhabra A. Glenohumeral osteoarthritis: what the surgeon needs from the radiologist. Skeletal Radiol 2023;52:2283-2296. [PMID: 36287234 DOI: 10.1007/s00256-022-04206-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 10/06/2022] [Accepted: 10/09/2022] [Indexed: 02/02/2023]
12
Wong V, Calivá F, Su F, Pedoia V, Lansdown D. Comparing bone shape models from deep learning processing of magnetic resonance imaging to computed tomography-based models. JSES Int 2023;7:861-867. [PMID: 37719825 PMCID: PMC10499848 DOI: 10.1016/j.jseint.2023.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]  Open
13
Gupta P, Haeberle HS, Zimmer ZR, Levine WN, Williams RJ, Ramkumar PN. Artificial intelligence-based applications in shoulder surgery leaves much to be desired: a systematic review. JSES REVIEWS, REPORTS, AND TECHNIQUES 2023;3:189-200. [PMID: 37588443 PMCID: PMC10426484 DOI: 10.1016/j.xrrt.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
14
Yao J, Chepelev L, Nisha Y, Sathiadoss P, Rybicki FJ, Sheikh AM. Evaluation of a deep learning method for the automated detection of supraspinatus tears on MRI. Skeletal Radiol 2022;51:1765-1775. [PMID: 35190850 DOI: 10.1007/s00256-022-04008-6] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/19/2021] [Revised: 01/30/2022] [Accepted: 01/30/2022] [Indexed: 02/02/2023]
15
Measuring the critical shoulder angle on radiographs: an accurate and repeatable deep learning model. Skeletal Radiol 2022;51:1873-1878. [PMID: 35347406 DOI: 10.1007/s00256-022-04041-5] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 03/23/2022] [Accepted: 03/23/2022] [Indexed: 02/02/2023]
16
Calivà F, Namiri NK, Dubreuil M, Pedoia V, Ozhinsky E, Majumdar S. Studying osteoarthritis with artificial intelligence applied to magnetic resonance imaging. Nat Rev Rheumatol 2022;18:112-121. [PMID: 34848883 DOI: 10.1038/s41584-021-00719-7] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/03/2021] [Indexed: 02/08/2023]
17
Samim M. 3D MRI Models of the Musculoskeletal System. Semin Musculoskelet Radiol 2021;25:388-396. [PMID: 34547804 DOI: 10.1055/s-0041-1730912] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
18
Oei EHG, van Zadelhoff TA, Eijgenraam SM, Klein S, Hirvasniemi J, van der Heijden RA. 3D MRI in Osteoarthritis. Semin Musculoskelet Radiol 2021;25:468-479. [PMID: 34547812 DOI: 10.1055/s-0041-1730911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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