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For: Swati G, Sanjay G, Pankaj Y, Saumya M. CT EVALUATION OF VARIOUS LINEAR INDICES IN CHILDREN WITH CLINICALLY SUSPECTED HYDROCEPHALUS. ACTA ACUST UNITED AC 2017;6:3078-82. [DOI: 10.14260/jemds/2017/664] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/31/2022]
Number Cited by Other Article(s)
1
Xu H, Fang X, Jing X, Bao D, Niu C. Multiple Machine Learning Approaches for Morphometric Parameters in Prediction of Hydrocephalus. Brain Sci 2022;12:1484. [PMID: 36358410 PMCID: PMC9688126 DOI: 10.3390/brainsci12111484] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Revised: 10/19/2022] [Accepted: 10/27/2022] [Indexed: 09/08/2024]  Open
2
Exploiting lamina terminalis appearance and motion in prediction of hydrocephalus using convolutional LSTM network. J Neuroradiol 2021;49:364-369. [PMID: 33582175 DOI: 10.1016/j.neurad.2021.02.001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Revised: 02/01/2021] [Accepted: 02/02/2021] [Indexed: 11/23/2022]
3
Ozgode Yigin B, Algin O, Saygili G. Comparison of morphometric parameters in prediction of hydrocephalus using random forests. Comput Biol Med 2019;116:103547. [PMID: 32001008 DOI: 10.1016/j.compbiomed.2019.103547] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 10/29/2019] [Accepted: 11/14/2019] [Indexed: 10/25/2022]
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