Author

Ahmed Taha

Washington University in St. LouisORCID 0000-0001-8131-7533Unclaimed ORCID profile · follow to get notified of new preprints

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Ahmed Taha1 paper · Khalifa University of Science and Technology

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

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Bhavin Soni· 1 shared Deepa S. Thakuri· 1 shared Erin Ritter· 1 shared Ganesh B. ChandiD· 1 shared Puskar BhattaraiiD· 1 shared

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2022-2022 · peak 1/yr

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5 top collaborators · 10 mutual co-author links

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1 shared paperNeuroscience

Bhavin Soni

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintSep 25, 2022

Amyloid-beta biomarkers in Braak stages and their predictive relationships with cognitive impairment: Support vector machine and deep learning approaches

Ahmed Taha, Bhavin Soni, Deepa S. Thakuri…·Ganesh B. Chand

This study uses support vector machines and deep learning to analyze A{beta} distribution in Braak stages and their predictive relationships with cognitive impairment in MCI and HC participants.

2 citations

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