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Cited by in F6Publishing
For: Bakas S, Makris D, Hunter GJ, Fang C, Sidhu PS, Chatzimichail K. Automatic Identification of the Optimal Reference Frame for Segmentation and Quantification of Focal Liver Lesions in Contrast-Enhanced Ultrasound. Ultrasound in Medicine & Biology 2017;43:2438-51. [DOI: 10.1016/j.ultrasmedbio.2017.06.005] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Rafailidis V, Fang C, Leenknegt B, Ballal K, Deganello A, Sellars ME, Yusuf GT, Huang DY, Sidhu PS. Contrast-Enhanced Ultrasound Quantification Assessment of Focal Fatty Variations in Liver Parenchyma: Challenging the Traditional Qualitative Paradigm of Uniform Enhancement With Adjacent Parenchyma. J Ultrasound Med 2021;40:1137-45. [PMID: 32951283 DOI: 10.1002/jum.15494] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
2 Lu Q, Wang Y. Automatic text location of multimedia video for subtitle frame. J Ambient Intell Human Comput. [DOI: 10.1007/s12652-019-01599-2] [Cited by in Crossref: 1] [Article Influence: 0.3] [Reference Citation Analysis]
3 Zhang J, Zhang Y, Chen J, Ling G, Wang X, Xu H. Respiratory motion correction for liver contrast-enhanced ultrasound by automatic selection of a reference image. Med Phys 2019;46:4992-5001. [PMID: 31444798 DOI: 10.1002/mp.13776] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis]
4 Bakas S, Doulgerakis-Kontoudis M, Hunter GJA, Sidhu PS, Makris D, Chatzimichail K. Evaluation of Indirect Methods for Motion Compensation in 2-D Focal Liver Lesion Contrast-Enhanced Ultrasound (CEUS) Imaging. Ultrasound Med Biol 2019;45:1380-96. [PMID: 30952468 DOI: 10.1016/j.ultrasmedbio.2019.01.023] [Cited by in Crossref: 6] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
5 Liu Y, Chen Y, Han B, Zhang Y, Zhang X, Su Y. Fully automatic Breast ultrasound image segmentation based on fuzzy cellular automata framework. Biomedical Signal Processing and Control 2018;40:433-42. [DOI: 10.1016/j.bspc.2017.09.014] [Cited by in Crossref: 10] [Cited by in F6Publishing: 11] [Article Influence: 2.5] [Reference Citation Analysis]