119 related articles for article (PubMed ID: 38677502)
1. Predicting osteoporosis from kidney-ureter-bladder radiographs utilizing deep convolutional neural networks.
Yen TY; Ho CS; Pei YC; Fan TY; Chang SY; Kuo CF; Chen YP
Bone; 2024 Jul; 184():117107. PubMed ID: 38677502
[TBL] [Abstract][Full Text] [Related]
2. 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; 30(6):3549-3557. PubMed ID: 32060712
[TBL] [Abstract][Full Text] [Related]
3. 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; 479(7):1598-1612. PubMed ID: 33651768
[TBL] [Abstract][Full Text] [Related]
4. Application of deep learning neural network in predicting bone mineral density from plain X-ray radiography.
Ho CS; Chen YP; Fan TY; Kuo CF; Yen TY; Liu YC; Pei YC
Arch Osteoporos; 2021 Oct; 16(1):153. PubMed ID: 34626252
[TBL] [Abstract][Full Text] [Related]
5. Establish and validate the reliability of predictive models in bone mineral density by deep learning as examination tool for women.
Hung WC; Lin YL; Cheng TT; Chin WL; Tu LT; Chen CK; Yang CH; Wu CH
Osteoporos Int; 2024 Jan; 35(1):129-141. PubMed ID: 37728768
[TBL] [Abstract][Full Text] [Related]
6. Prediction of osteoporosis from simple hip radiography using deep learning algorithm.
Jang R; Choi JH; Kim N; Chang JS; Yoon PW; Kim CH
Sci Rep; 2021 Oct; 11(1):19997. PubMed ID: 34620976
[TBL] [Abstract][Full Text] [Related]
7. Deep learning of lumbar spine X-ray for osteopenia and osteoporosis screening: A multicenter retrospective cohort study.
Zhang B; Yu K; Ning Z; Wang K; Dong Y; Liu X; Liu S; Wang J; Zhu C; Yu Q; Duan Y; Lv S; Zhang X; Chen Y; Wang X; Shen J; Peng J; Chen Q; Zhang Y; Zhang X; Zhang S
Bone; 2020 Nov; 140():115561. PubMed ID: 32730939
[TBL] [Abstract][Full Text] [Related]
8. Application of Medical Imaging Based on Deep Learning in the Treatment of Lumbar Degenerative Diseases and Osteoporosis with Bone Cement Screws.
Mu S; Wang J; Gong S
Comput Math Methods Med; 2021; 2021():2638495. PubMed ID: 34671416
[TBL] [Abstract][Full Text] [Related]
9. Automated bone mineral density prediction and fracture risk assessment using plain radiographs via deep learning.
Hsieh CI; Zheng K; Lin C; Mei L; Lu L; Li W; Chen FP; Wang Y; Zhou X; Wang F; Xie G; Xiao J; Miao S; Kuo CF
Nat Commun; 2021 Sep; 12(1):5472. PubMed ID: 34531406
[TBL] [Abstract][Full Text] [Related]
10. Deep learning for screening primary osteopenia and osteoporosis using spine radiographs and patient clinical covariates in a Chinese population.
Mao L; Xia Z; Pan L; Chen J; Liu X; Li Z; Yan Z; Lin G; Wen H; Liu B
Front Endocrinol (Lausanne); 2022; 13():971877. PubMed ID: 36176468
[TBL] [Abstract][Full Text] [Related]
11. Development of a system to assess the two- and three-dimensional bone mineral density of the lumbar vertebrae from clinical quantitative CT images.
Uemura K; Fujimori T; Otake Y; Shimomoto Y; Kono S; Takashima K; Hamada H; Takenaka S; Kaito T; Sato Y; Sugano N; Okada S
Arch Osteoporos; 2023 Jan; 18(1):22. PubMed ID: 36680601
[TBL] [Abstract][Full Text] [Related]
12. Diagnostic value of calcaneal quantitative ultrasound in the evaluation of osteoporosis in middle-aged and elderly patients.
Li C; Sun J; Yu L
Medicine (Baltimore); 2022 Jan; 101(2):e28325. PubMed ID: 35029176
[TBL] [Abstract][Full Text] [Related]
13. Opportunistic screening for osteoporosis in abdominal computed tomography for Chinese population.
Li YL; Wong KH; Law MW; Fang BX; Lau VW; Vardhanabuti VV; Lee VK; Cheng AK; Ho WY; Lam WW
Arch Osteoporos; 2018 Jul; 13(1):76. PubMed ID: 29987388
[TBL] [Abstract][Full Text] [Related]
14. Detecting whether L1 or other lumbar levels would be excluded from DXA bone mineral density analysis during opportunistic CT screening for osteoporosis using machine learning.
Sebro R; De la Garza-Ramos C; Peterson JJ
Int J Comput Assist Radiol Surg; 2023 Dec; 18(12):2261-2272. PubMed ID: 37219803
[TBL] [Abstract][Full Text] [Related]
15. Discordance in lumbar bone mineral density measurements by quantitative computed tomography and dual-energy X-ray absorptiometry in postmenopausal women: a prospective comparative study.
Lin W; He C; Xie F; Chen T; Zheng G; Yin H; Chen H; Wang Z
Spine J; 2023 Feb; 23(2):295-304. PubMed ID: 36343911
[TBL] [Abstract][Full Text] [Related]
16. Opportunistic screening for osteoporosis by routine CT in Southern Europe.
Alacreu E; Moratal D; Arana E
Osteoporos Int; 2017 Mar; 28(3):983-990. PubMed ID: 28108802
[TBL] [Abstract][Full Text] [Related]
17. Radiographic absorptiometry as a screening tool in male osteoporosis: results from the Odense Androgen Study.
Hansen SJ; Nielsen MM; Ryg J; Wraae K; Andersen M; Brixen K
Acta Radiol; 2009 Jul; 50(6):658-63. PubMed ID: 19488892
[TBL] [Abstract][Full Text] [Related]
18. Opportunistic Osteoporosis Screening Using Chest Radiographs With Deep Learning: Development and External Validation With a Cohort Dataset.
Jang M; Kim M; Bae SJ; Lee SH; Koh JM; Kim N
J Bone Miner Res; 2022 Feb; 37(2):369-377. PubMed ID: 34812546
[TBL] [Abstract][Full Text] [Related]
19. Simultaneous screening for osteoporosis at CT colonography: bone mineral density assessment using MDCT attenuation techniques compared with the DXA reference standard.
Pickhardt PJ; Lee LJ; del Rio AM; Lauder T; Bruce RJ; Summers RM; Pooler BD; Binkley N
J Bone Miner Res; 2011 Sep; 26(9):2194-203. PubMed ID: 21590738
[TBL] [Abstract][Full Text] [Related]
20. Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network.
Yoshida K; Tanabe Y; Nishiyama H; Matsuda T; Toritani H; Kitamura T; Sakai S; Watamori K; Takao M; Kimura E; Kido T
J Comput Assist Tomogr; 2023 May-Jun 01; 47(3):467-474. PubMed ID: 37185012
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]