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124 related items for PubMed ID: 39197270
1. Development of a deep learning model for detecting lumbar vertebral fractures on CT images: An external validation. Tian J, Wang K, Wu P, Li J, Zhang X, Wang X. Eur J Radiol; 2024 Nov; 180():111685. PubMed ID: 39197270 [Abstract] [Full Text] [Related]
2. Can a Deep-learning Model for the Automated Detection of Vertebral Fractures Approach the Performance Level of Human Subspecialists? Li YC, Chen HH, Horng-Shing Lu H, Hondar Wu HT, Chang MC, Chou PH. Clin Orthop Relat Res; 2021 Jul 01; 479(7):1598-1612. PubMed ID: 33651768 [Abstract] [Full Text] [Related]
3. Automated Detection, Localization, and Classification of Traumatic Vertebral Body Fractures in the Thoracic and Lumbar Spine at CT. Burns JE, Yao J, Muñoz H, Summers RM. Radiology; 2016 Jan 01; 278(1):64-73. PubMed ID: 26172532 [Abstract] [Full Text] [Related]
4. Exploring deep learning radiomics for classifying osteoporotic vertebral fractures in X-ray images. Zhang J, Xia L, Liu J, Niu X, Tang J, Xia J, Liu Y, Zhang W, Liang Z, Zhang X, Tang G, Zhang L. Front Endocrinol (Lausanne); 2024 Jan 01; 15():1370838. PubMed ID: 38606087 [Abstract] [Full Text] [Related]
5. Vertebral Body Compression Fractures and Bone Density: Automated Detection and Classification on CT Images. Burns JE, Yao J, Summers RM. Radiology; 2017 Sep 01; 284(3):788-797. PubMed ID: 28301777 [Abstract] [Full Text] [Related]
6. Vertebral body insufficiency fractures: detection of vertebrae at risk on standard CT images using texture analysis and machine learning. Muehlematter UJ, Mannil M, Becker AS, Vokinger KN, Finkenstaedt T, Osterhoff G, Fischer MA, Guggenberger R. Eur Radiol; 2019 May 01; 29(5):2207-2217. PubMed ID: 30519934 [Abstract] [Full Text] [Related]
7. Constructing a Deep Learning Radiomics Model Based on X-ray Images and Clinical Data for Predicting and Distinguishing Acute and Chronic Osteoporotic Vertebral Fractures: A Multicenter Study. Zhang J, Xia L, Tang J, Xia J, Liu Y, Zhang W, Liu J, Liang Z, Zhang X, Zhang L, Tang G. Acad Radiol; 2024 May 01; 31(5):2011-2026. PubMed ID: 38016821 [Abstract] [Full Text] [Related]
9. Feasibility study in quantitative identification of fresh and old osteoporotic vertebral compression fracture by vertebral CT value and CT value difference. Feng N, Zhou S, Yu X, Guan J, Li W, Yang K, Yue X, Qiu Z, Jiang G. BMC Musculoskelet Disord; 2024 Oct 19; 25(1):821. PubMed ID: 39427115 [Abstract] [Full Text] [Related]
12. A Computed Tomography-Based Fracture Prediction Model With Images of Vertebral Bones and Muscles by Employing Deep Learning: Development and Validation Study. Kong SH, Cho W, Park SB, Choo J, Kim JH, Kim SW, Shin CS. J Med Internet Res; 2024 Jul 12; 26():e48535. PubMed ID: 38995678 [Abstract] [Full Text] [Related]
13. Prediction of bone mineral density from computed tomography: application of deep learning with a convolutional neural network. Yasaka K, Akai H, Kunimatsu A, Kiryu S, Abe O. Eur Radiol; 2020 Jun 12; 30(6):3549-3557. PubMed ID: 32060712 [Abstract] [Full Text] [Related]
14. Development and validation of a radiomics-based model for predicting osteoporosis in patients with lumbar compression fractures. Nian S, Zhao Y, Li C, Zhu K, Li N, Li W, Chen J. Spine J; 2024 Sep 12; 24(9):1625-1634. PubMed ID: 38679078 [Abstract] [Full Text] [Related]
17. Prediction of incident vertebral fracture using CT-based finite element analysis. Allaire BT, Lu D, Johannesdottir F, Kopperdahl D, Keaveny TM, Jarraya M, Guermazi A, Bredella MA, Samelson EJ, Kiel DP, Anderson DE, Demissie S, Bouxsein ML. Osteoporos Int; 2019 Feb 12; 30(2):323-331. PubMed ID: 30306225 [Abstract] [Full Text] [Related]