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Cited by in F6Publishing
For: Saba T. Computer vision for microscopic skin cancer diagnosis using handcrafted and non-handcrafted features. Microsc Res Tech 2021;84:1272-83. [PMID: 33399251 DOI: 10.1002/jemt.23686] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 6.0] [Reference Citation Analysis]
Number Citing Articles
1 Cheng X, Kadry S, Meqdad MN, Crespo RG. CNN supported framework for automatic extraction and evaluation of dermoscopy images. J Supercomput. [DOI: 10.1007/s11227-022-04561-w] [Reference Citation Analysis]
2 Karthikeyan A, Garg A, Vinod PK, Priyakumar UD. Machine Learning Based Clinical Decision Support System for Early COVID-19 Mortality Prediction. Front Public Health 2021;9:626697. [PMID: 34055710 DOI: 10.3389/fpubh.2021.626697] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
3 Amin J, Anjum MA, Sharif M, Saba T, Tariq U. An intelligence design for detection and classification of COVID19 using fusion of classical and convolutional neural network and improved microscopic features selection approach. Microsc Res Tech 2021. [PMID: 33964096 DOI: 10.1002/jemt.23779] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Sajjad M, Ramzan F, Khan MUG, Rehman A, Kolivand M, Fati SM, Bahaj SA. Deep convolutional generative adversarial network for Alzheimer's disease classification using positron emission tomography (PET) and synthetic data augmentation. Microsc Res Tech 2021. [PMID: 34245203 DOI: 10.1002/jemt.23861] [Reference Citation Analysis]
5 Saba T, Abunadi I, Shahzad MN, Khan AR. Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types. Microsc Res Tech 2021;84:1462-74. [PMID: 33522669 DOI: 10.1002/jemt.23702] [Cited by in Crossref: 7] [Cited by in F6Publishing: 6] [Article Influence: 7.0] [Reference Citation Analysis]
6 Haimed AMA, Saba T, Albasha A, Rehman A, Kolivand M. Viral reverse engineering using Artificial Intelligence and big data COVID-19 infection with Long Short-term Memory (LSTM). Environ Technol Innov 2021;22:101531. [PMID: 33824882 DOI: 10.1016/j.eti.2021.101531] [Cited by in F6Publishing: 3] [Reference Citation Analysis]