Deep Convolutional Feature Extraction and Brain Morphometry Intelligence: AI-Powered Computational Solutions for Enhanced Neuroimaging Analysis and Interpretation

Authors

  • Javad Salehi Professor of Electrical Engineering, University of Tehran Author

Keywords:

deep convolutional feature extraction, brain morphometry intelligence, computational solutions, enhanced neuroimaging analysis, machine learning

Abstract

Neuroimaging and machine learning are two cutting-edge, exciting fields that have the ability to reshape our world over the next decades. A conflux of these two fields is particularly appealing because of the immense need and potential of tech-enabled neuroimaging applications. Neuroimaging refers to a series of noninvasive neurophysiological techniques used in medicine to visualize the structure, function, and the tiniest level of detail of the brain.

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Published

30-04-2025

How to Cite

“Deep Convolutional Feature Extraction and Brain Morphometry Intelligence: AI-Powered Computational Solutions for Enhanced Neuroimaging Analysis and Interpretation”. Journal of Science & Technology, vol. 6, no. 2, Apr. 2025, pp. 1-11, https://www.thesciencebrigade.com/jst/article/view/702.

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