AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction

The prediction of Mild Cognitive Impairment (MCI) patients who are at higher risk converting to Alzheimer's Disease (AD) is critical for effective intervention and patient selection in clinical trials. Different biomarkers including neuroimaging have been developed to serve the purpose. With extensi...

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Autors principals:	Fei Gao, Hyunsoo Yoon, Yanzhe Xu, Dhruman Goradia, Ji Luo, Teresa Wu, Yi Su
Format:	Artigo
Idioma:	Inglês
Publicat:	Elsevier 2020-01-01
Col·lecció:	NeuroImage: Clinical
Matèries:	Deep learning Transfer learning Biomarker AD MCI
Accés en línia:	http://www.sciencedirect.com/science/article/pii/S2213158220301273
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