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Cited by in F6Publishing
For: Song KD. Current status of deep learning applications in abdominal ultrasonography. Ultrasonography 2021;40:177-82. [PMID: 33242931 DOI: 10.14366/usg.20085] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
Number Citing Articles
1 Park SH. Artificial intelligence for ultrasonography: unique opportunities and challenges. Ultrasonography 2021;40:3-6. [PMID: 33227844 DOI: 10.14366/usg.20078] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 0.5] [Reference Citation Analysis]
2 Bartolotta TV, Taibbi A, Randazzo A, Gagliardo C. New frontiers in liver ultrasound: From mono to multi parametricity. World J Gastrointest Oncol 2021; 13(10): 1302-1316 [PMID: 34721768 DOI: 10.4251/wjgo.v13.i10.1302] [Reference Citation Analysis]
3 Iacobellis F, Narese D, Berritto D, Brillantino A, Di Serafino M, Guerrini S, Grassi R, Scaglione M, Mazzei MA, Romano L. Large Bowel Ischemia/Infarction: How to Recognize It and Make Differential Diagnosis? A Review. Diagnostics (Basel) 2021;11:998. [PMID: 34070924 DOI: 10.3390/diagnostics11060998] [Reference Citation Analysis]
4 Rajamani AS, Rammohan A, Sai VR, Rela M. Current Techniques and Future Trends in the Diagnosis of Hepatic Steatosis in Liver Donors: A Review. Journal of Liver Transplantation 2022. [DOI: 10.1016/j.liver.2022.100091] [Reference Citation Analysis]
5 Căleanu CD, Sîrbu CL, Simion G. Deep Neural Architectures for Contrast Enhanced Ultrasound (CEUS) Focal Liver Lesions Automated Diagnosis. Sensors (Basel) 2021;21:4126. [PMID: 34208548 DOI: 10.3390/s21124126] [Reference Citation Analysis]