ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data-Reference-Cited by-同舟云学术

ADCoC: Adaptive Distribution Modeling Based Collaborative Clustering for Disentangling Disease Heterogeneity from Neuroimaging Data

Published:2023-04 Issue:2 Volume:7 Page:308-318
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Liu Hangfan¹^ORCID,Grothe Michel J.²^ORCID,Rashid Tanweer¹,Labrador-Espinosa Miguel A.²,Toledo Jon B.³,Habes Mohamad¹^ORCID

Affiliation:

1. Neuroimage Analytics Laboratory (NAL) 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. Unidad de Trastornos del Movimiento, Servicio de Neurología y Neurofisiología Clínica, Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Seville, Spain

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

Funder

Miguel Servet

Instituto de Salud Carlos III-Fondo Europeo de Desarrollo Regional

Ph.D. scholarship of the University of Seville

National Institutes of Health

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computational Mathematics,Control and Optimization,Computer Science Applications

Link

http://xplorestaging.ieee.org/ielx7/7433297/10081151/09670439.pdf?arnumber=9670439

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