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Cited by in F6Publishing
For: Fitzpatrick JA, Basty N, Cule M, Liu Y, Bell JD, Thomas EL, Whitcher B. Large-scale analysis of iliopsoas muscle volumes in the UK Biobank. Sci Rep 2020;10:20215. [PMID: 33214629 DOI: 10.1038/s41598-020-77351-0] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
Number Citing Articles
1 Van Erck D, Moeskops P, Schoufour JD, Weijs PJM, Scholte Op Reimer WJM, Van Mourik MS, Janmaat YC, Planken RN, Vis M, Baan J, Hemke R, Išgum I, Henriques JP, De Vos BD, Delewi R. Evaluation of a Fully Automatic Deep Learning-Based Method for the Measurement of Psoas Muscle Area. Front Nutr 2022;9:781860. [DOI: 10.3389/fnut.2022.781860] [Reference Citation Analysis]
2 Langner T, Gustafsson FK, Avelin B, Strand R, Ahlström H, Kullberg J. Uncertainty-aware body composition analysis with deep regression ensembles on UK Biobank MRI. Comput Med Imaging Graph 2021;93:101994. [PMID: 34624770 DOI: 10.1016/j.compmedimag.2021.101994] [Reference Citation Analysis]
3 Shi X, Han R. FUNCTIONAL EXERCISE ON PATIENTS’ REHABILITATION WITH PSOAS MUSCLE SPORTS INJURIES. Rev Bras Med Esporte 2022;28:702-4. [DOI: 10.1590/1517-8692202228062022_0019] [Reference Citation Analysis]
4 Weber KA 2nd, Abbott R, Bojilov V, Smith AC, Wasielewski M, Hastie TJ, Parrish TB, Mackey S, Elliott JM. Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions. Sci Rep 2021;11:16567. [PMID: 34400672 DOI: 10.1038/s41598-021-95972-x] [Reference Citation Analysis]