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. 2022 Aug 11;14:923673. doi: 10.3389/fnagi.2022.923673

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Copyright © 2022 Liu, Zhu, Sun, Zhang, Feng, Gjerswold-Selleck, Sikka, Zhu, Liu, Nuriel, Wei, Wu, Vaughan, Laine, Provenzano, Small and Guo.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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DeepContrast-generated synthesized CBV improves AD classification and provides spatially-meaningful information. (A) Receiver Operating Characteristics curves for the classification models using T1W structural data only (black), using synthesized CBV functional data only (blue), or using both in combination (red). p-values were calculated using DeLong's test. (B) The class-average Class Activation Maps of the best-performing model, calculated from 131 AD scans in the standalone test set.