BPG is committed to discovery and dissemination of knowledge
Cited by in F6Publishing
For: Zhang P, Zhang RX, Chen XS, Zhou XY, Raithel E, Cui JL, Zhao J. Clinical validation of the use of prototype software for automatic cartilage segmentation to quantify knee cartilage in volunteers. BMC Musculoskelet Disord 2022;23:19. [PMID: 34980107 DOI: 10.1186/s12891-021-04973-4] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Gupta L, Najm A, Kabir K, De Cock D. Digital health in musculoskeletal care: where are we heading? BMC Musculoskelet Disord 2023;24:192. [PMID: 36918856 DOI: 10.1186/s12891-023-06309-w] [Reference Citation Analysis]
2 Kubicek J, Varysova A, Cerny M, Skandera J, Oczka D, Augustynek M, Penhaker M. Novel Hybrid Optimized Clustering Schemes with Genetic Algorithm and PSO for Segmentation and Classification of Articular Cartilage Loss from MR Images. Mathematics 2023;11:1027. [DOI: 10.3390/math11041027] [Reference Citation Analysis]
3 Liu L, Liu H, Zhen Z, Zheng Y, Zhou X, Raithel E, Du J, Hu Y, Chen W, Hu X. Analysis of Knee Joint Injury Caused by Physical Training of Freshmen Students Based on 3T MRI and Automatic Cartilage Segmentation Technology: A Prospective Study. Front Endocrinol 2022;13:839112. [DOI: 10.3389/fendo.2022.839112] [Reference Citation Analysis]