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For: Li J, Qureshi M, Gupta A, Anderson SW, Soto J, Li B. Quantification of Degree of Liver Fibrosis Using Fibrosis Area Fraction Based on Statistical Chi-Square Analysis of Heterogeneity of Liver Tissue Texture on Routine Ultrasound Images. Academic Radiology 2019;26:1001-7. [DOI: 10.1016/j.acra.2018.10.004] [Cited by in Crossref: 4] [Cited by in F6Publishing: 3] [Article Influence: 1.3] [Reference Citation Analysis]
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1 Phelps A. Liver Ultrasound Texture Analysis: The Computer Finds More to Quantify Than Meets the Eye. Academic Radiology 2019;26:1008-9. [DOI: 10.1016/j.acra.2019.03.013] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.7] [Reference Citation Analysis]
2 Zhou Z, Gao A, Zhang Q, Wu W, Wu S, Tsui P. Ultrasound Backscatter Envelope Statistics Parametric Imaging for Liver Fibrosis Characterization: A Review. Ultrason Imaging 2020;42:92-109. [DOI: 10.1177/0161734620907886] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
3 Rezvani Habibabadi R, Khoshpouri P, Ghadimi M, Shaghaghi M, Ameli S, Hazhirkarzar B, Pandey P, Aliyari Ghasabeh M, Pandey A, Kamel IR. Comparison between ROI-based and volumetric measurements in quantifying heterogeneity of liver stiffness using MR elastography. Eur Radiol 2020;30:1609-15. [DOI: 10.1007/s00330-019-06478-0] [Cited by in Crossref: 8] [Cited by in F6Publishing: 7] [Article Influence: 2.7] [Reference Citation Analysis]