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Cited by in F6Publishing
For: 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: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.0] [Reference Citation Analysis]
Number Citing Articles
1 Tiyarattanachai T, Turco S, Eisenbrey JR, Wessner CE, Medellin-Kowalewski A, Wilson S, Lyshchik A, Kamaya A, Kaffas AE. A Comprehensive Motion Compensation Method for In-Plane and Out-of-Plane Motion in Dynamic Contrast-Enhanced Ultrasound of Focal Liver Lesions. Ultrasound Med Biol 2022:S0301-5629(22)00440-9. [PMID: 35970658 DOI: 10.1016/j.ultrasmedbio.2022.06.007] [Reference Citation Analysis]
2 Turco S, Tiyarattanachai T, Ebrahimkheil K, Eisenbrey J, Kamaya A, Mischi M, Lyshchik A, Kaffas AE. Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound. IEEE Trans Ultrason Ferroelectr Freq Control 2022;69:1670-81. [PMID: 35320099 DOI: 10.1109/TUFFC.2022.3161719] [Reference Citation Analysis]
3 Yan Y, Tang L, Huang H, Yu Q, Xu H, Chen Y, Chen M, Zhang Q. Four-quadrant fast compressive tracking of breast ultrasound videos for computer-aided response evaluation of neoadjuvant chemotherapy in mice. Comput Methods Programs Biomed 2022;217:106698. [PMID: 35217304 DOI: 10.1016/j.cmpb.2022.106698] [Reference Citation Analysis]
4 Venet L, Pati S, Feldman MD, Nasrallah MP, Yushkevich P, Bakas S. Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration. Appl Sci (Basel) 2021;11:1892. [PMID: 34290888 DOI: 10.3390/app11041892] [Reference Citation Analysis]