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Updated: Jun 6, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
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Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

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改善多模式神经成像数据的规范建模,使用专家产品混合变量自编码器

Sayantan Kumar1,2, Philip Payne1,2, Aristeidis Sotiras2,3

  • 1Department of Computer Science and Engineering, Washington University in St. Louis, USA.

Proceedings. IEEE International Symposium on Biomedical Imaging
|November 29, 2024
PubMed
概括

这项研究引入了一个新的神经成像产品混合专家 (MoPoE) 模型. 该模型通过改进多式联络数据分析,更好地识别了阿尔茨海默病 (AD) 在大脑模式中的偏差.

关键词:
混合的产品的专家的混合物.这是一个多式联络模式.规范性建模 规范性建模变量自动编码器 变量自动编码器

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