130 related articles for article (PubMed ID: 38129653)
1. Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images.
Pi SW; Lee BD; Lee MS; Lee HJ
Sci Rep; 2023 Dec; 13(1):22887. PubMed ID: 38129653
[TBL] [Abstract][Full Text] [Related]
2. Automatic detection and classification of knee osteoarthritis using deep learning approach.
Abdullah SS; Rajasekaran MP
Radiol Med; 2022 Apr; 127(4):398-406. PubMed ID: 35262842
[TBL] [Abstract][Full Text] [Related]
3. An update on the knee osteoarthritis severity grading using wide residual learning.
Helwan A; Azar D; Abdellatef H
J Xray Sci Technol; 2022; 30(5):1009-1021. PubMed ID: 35848003
[TBL] [Abstract][Full Text] [Related]
4. Assessment of a novel deep learning-based software developed for automatic feature extraction and grading of radiographic knee osteoarthritis.
Yoon JS; Yon CJ; Lee D; Lee JJ; Kang CH; Kang SB; Lee NK; Chang CB
BMC Musculoskelet Disord; 2023 Nov; 24(1):869. PubMed ID: 37940935
[TBL] [Abstract][Full Text] [Related]
5. Fully automatic knee osteoarthritis severity grading using deep neural networks with a novel ordinal loss.
Chen P; Gao L; Shi X; Allen K; Yang L
Comput Med Imaging Graph; 2019 Jul; 75():84-92. PubMed ID: 31238184
[TBL] [Abstract][Full Text] [Related]
6. Interpretable and parameter optimized ensemble model for knee osteoarthritis assessment using radiographs.
Bany Muhammad M; Yeasin M
Sci Rep; 2021 Jul; 11(1):14348. PubMed ID: 34253839
[TBL] [Abstract][Full Text] [Related]
7. Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.
Leung K; Zhang B; Tan J; Shen Y; Geras KJ; Babb JS; Cho K; Chang G; Deniz CM
Radiology; 2020 Sep; 296(3):584-593. PubMed ID: 32573386
[TBL] [Abstract][Full Text] [Related]
8. Automating classification of osteoarthritis according to Kellgren-Lawrence in the knee using deep learning in an unfiltered adult population.
Olsson S; Akbarian E; Lind A; Razavian AS; Gordon M
BMC Musculoskelet Disord; 2021 Oct; 22(1):844. PubMed ID: 34600505
[TBL] [Abstract][Full Text] [Related]
9. Deep learning-based algorithm for assessment of knee osteoarthritis severity in radiographs matches performance of radiologists.
Swiecicki A; Li N; O'Donnell J; Said N; Yang J; Mather RC; Jiranek WA; Mazurowski MA
Comput Biol Med; 2021 Jun; 133():104334. PubMed ID: 33823398
[TBL] [Abstract][Full Text] [Related]
10. Knee x-ray image analysis method for automated detection of osteoarthritis.
Shamir L; Ling SM; Scott WW; Bos A; Orlov N; Macura TJ; Eckley DM; Ferrucci L; Goldberg IG
IEEE Trans Biomed Eng; 2009 Feb; 56(2):407-15. PubMed ID: 19342330
[TBL] [Abstract][Full Text] [Related]
11. Toward automatic quantification of knee osteoarthritis severity using improved Faster R-CNN.
Liu B; Luo J; Huang H
Int J Comput Assist Radiol Surg; 2020 Mar; 15(3):457-466. PubMed ID: 31938993
[TBL] [Abstract][Full Text] [Related]
12. Automatic Grading of Individual Knee Osteoarthritis Features in Plain Radiographs Using Deep Convolutional Neural Networks.
Tiulpin A; Saarakkala S
Diagnostics (Basel); 2020 Nov; 10(11):. PubMed ID: 33182830
[TBL] [Abstract][Full Text] [Related]
13. Is the EOS imaging system as accurate as conventional radiography in grading osteoarthritis of the knee?
Koliogiannis VKA; Brandlhuber M; Messerschmidt V; Stahl R; Melcher C; Schinner R; Birkenmaier C; Ricke J; Baur-Melnyk A
Eur Radiol; 2021 May; 31(5):3491-3497. PubMed ID: 33119811
[TBL] [Abstract][Full Text] [Related]
14. Stratifying knee osteoarthritis features through multitask deep hybrid learning: Data from the osteoarthritis initiative.
Teoh YX; Othmani A; Lai KW; Goh SL; Usman J
Comput Methods Programs Biomed; 2023 Dec; 242():107807. PubMed ID: 37778138
[TBL] [Abstract][Full Text] [Related]
15. Automated Knee Osteoarthritis Assessment Increases Physicians' Agreement Rate and Accuracy: Data from the Osteoarthritis Initiative.
Nehrer S; Ljuhar R; Steindl P; Simon R; Maurer D; Ljuhar D; Bertalan Z; Dimai HP; Goetz C; Paixao T
Cartilage; 2021 Dec; 13(1_suppl):957S-965S. PubMed ID: 31762295
[No Abstract] [Full Text] [Related]
16. An Automatic Knee Osteoarthritis Diagnosis Method Based on Deep Learning: Data from the Osteoarthritis Initiative.
Wang Y; Wang X; Gao T; Du L; Liu W
J Healthc Eng; 2021; 2021():5586529. PubMed ID: 34616534
[TBL] [Abstract][Full Text] [Related]
17. A Novel Hybrid Approach Based on Deep CNN Features to Detect Knee Osteoarthritis.
Mahum R; Rehman SU; Meraj T; Rauf HT; Irtaza A; El-Sherbeeny AM; El-Meligy MA
Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577402
[TBL] [Abstract][Full Text] [Related]
18. Tool for osteoarthritis risk prediction (TOARP) over 8 years using baseline clinical data, X-ray, and MRI: Data from the osteoarthritis initiative.
Joseph GB; McCulloch CE; Nevitt MC; Neumann J; Gersing AS; Kretzschmar M; Schwaiger BJ; Lynch JA; Heilmeier U; Lane NE; Link TM
J Magn Reson Imaging; 2018 Jun; 47(6):1517-1526. PubMed ID: 29143404
[TBL] [Abstract][Full Text] [Related]
19. MedKnee: A New Deep Learning-Based Software for Automated Prediction of Radiographic Knee Osteoarthritis.
Touahema S; Zaimi I; Zrira N; Ngote MN; Doulhousne H; Aouial M
Diagnostics (Basel); 2024 May; 14(10):. PubMed ID: 38786291
[TBL] [Abstract][Full Text] [Related]
20. DC-AAE: Dual channel adversarial autoencoder with multitask learning for KL-grade classification in knee radiographs.
Farooq MU; Ullah Z; Khan A; Gwak J
Comput Biol Med; 2023 Dec; 167():107570. PubMed ID: 37897960
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
