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For: Bhatele KR, Bhadauria SS. Brain structural disorders detection and classification approaches: a review. Artif Intell Rev 2020;53:3349-401. [DOI: 10.1007/s10462-019-09766-9] [Cited by in Crossref: 9] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
Number Citing Articles
1 Bhatele KR, Bhadauria SS. Multiclass classification of central nervous system brain tumor types based on proposed hybrid texture feature extraction methods and ensemble learning. Multimed Tools Appl. [DOI: 10.1007/s11042-022-13439-1] [Reference Citation Analysis]
2 Saravanan S, Ramkumar K, Adalarasu K, Sivanandam V, Kumar SR, Stalin S, Amirtharajan R. A Systematic Review of Artificial Intelligence (AI) Based Approaches for the Diagnosis of Parkinson’s Disease. Arch Computat Methods Eng. [DOI: 10.1007/s11831-022-09710-1] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
3 Mishra M, Pati UC. Autism Detection Using Surface and Volumetric Morphometric Feature of sMRI with Machine Learning Approach. Communications in Computer and Information Science 2022. [DOI: 10.1007/978-3-030-96040-7_47] [Reference Citation Analysis]
4 [DOI: 10.1109/icscc51209.2021.9528240] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
5 Liu JL, Li SH, Cai YM, Lan DP, Lu YF, Liao W, Ying SC, Zhao ZH. Automated Radiographic Evaluation of Adenoid Hypertrophy Based on VGG-Lite. J Dent Res 2021;:220345211009474. [PMID: 33913367 DOI: 10.1177/00220345211009474] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
6 Rumala DJ, Yuniarno EM, Rachmadi RF, Nugroho SMS, Tjahyaningtijas HPA, Adrianto Y, Sensusiati AD, Purnama IKE. Activation Functions Evaluation to Improve Performance of Convolutional Neural Network in Brain Disease Classification Based on Magnetic Resonance Images. 2020 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM) 2020. [DOI: 10.1109/cenim51130.2020.9297862] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 0.5] [Reference Citation Analysis]
7 James RM, Kusrini, Arief MR. Classification Of X-ray COVID-19 Image Using Convolutional Neural Network. 2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS) 2020. [DOI: 10.1109/icoris50180.2020.9320828] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 1.5] [Reference Citation Analysis]
8 Zhang Q, Bu X, Zhang M, Zhang Z, Hu J. Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration. Artif Intell Rev 2021;54:27-61. [DOI: 10.1007/s10462-020-09871-0] [Cited by in Crossref: 8] [Cited by in F6Publishing: 9] [Article Influence: 4.0] [Reference Citation Analysis]