Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis-Reference-Cited by-同舟云学术

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Collaborative Clustering Based on Adaptive Laplace Modeling for Neuroimaging Data Analysis

Published:2022-05-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Symposium on Circuits and Systems (ISCAS)
language:
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Author:

Liu Hangfan¹,Li Karl¹,Toledo Jon B.²,Habes Mohamad¹

Affiliation:

1. Neuroimage Analytics Laboratory and Biggs Institute Neuroimaging Core, Glenn Biggs Institute for Neurodegenerative Disorders, University of Texas Health Science Center at San Antonio,San Antonio,TX,USA

2. University of Florida College of Medicine,Department of Neurology,Gainesville,FL,USA

Funder

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9937201/9937203/09937245.pdf?arnumber=9937245

Reference32 articles.

1. Relationship betweenAPOEGenotype and Structural MRI Measures throughout Adulthood in the Study of Health in Pomerania Population-Based Cohort

2. ‘Alzheimer’s Progression Score’: Development of a Biomarker Summary Outcome for AD Prevention Trials;leoutsakos;The - journal of prevention of Alzheimer's disease,2016

3. False Discovery Rate–Adjusted Multiple Confidence Intervals for Selected Parameters

4. Subspace Clustering Under Complex Noise

5. White matter lesions

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