Cargando…

High-Order Laplacian Regularized Low-Rank Representation for Multimodal Dementia Diagnosis

Multimodal heterogeneous data, such as structural magnetic resonance imaging (MRI), positron emission tomography (PET), and cerebrospinal fluid (CSF), are effective in improving the performance of automated dementia diagnosis by providing complementary information on degenerated brain disorders, suc...

Descripción completa

Detalles Bibliográficos
Autores principales:	Dong, Aimei, Li, Zhigang, Wang, Mingliang, Shen, Dinggang, Liu, Mingxia
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2021
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7994898/ https://www.ncbi.nlm.nih.gov/pubmed/33776639 http://dx.doi.org/10.3389/fnins.2021.634124

Ejemplares similares

A truncated nuclear norm and graph-Laplacian regularized low-rank representation method for tumor clustering and gene selection
por: Liu, Qi
Publicado: (2022)

Research of Low-Rank Representation and Discriminant Correlation Analysis for Alzheimer's Disease Diagnosis
por: Li, Zhigang, et al.
Publicado: (2020)

Regularized Laplacian determinants of self-similar fractals
por: Chen, Joe P., et al.
Publicado: (2017)

The Laplacian spectrum of neural networks
por: de Lange, Siemon C., et al.
Publicado: (2014)

The Laplacian of the potential and the order of energy levels
por: Baumgartner, B, et al.
Publicado: (1984)

Kinase Identification with Supervised Laplacian Regularized Least Squares
por: Li, Ao, et al.
Publicado: (2015)

Diagnosis of Autism Spectrum Disorder Using Central-Moment Features From Low- and High-Order Dynamic Resting-State Functional Connectivity Networks
por: Zhao, Feng, et al.
Publicado: (2020)

Multimodal Medical Image Fusion Based on Multiple Latent Low-Rank Representation
por: Lou, Xi-Cheng, et al.
Publicado: (2021)

Learning from low-rank multimodal representations for predicting disease-drug associations
por: Hu, Pengwei, et al.
Publicado: (2021)

Simultaneous Estimation of Low- and High-Order Functional Connectivity for Identifying Mild Cognitive Impairment
por: Zhou, Yueying, et al.
Publicado: (2018)

Cancer Subtype Recognition Based on Laplacian Rank Constrained Multiview Clustering
por: Ge, Shuguang, et al.
Publicado: (2021)

Gene Feature Extraction Based on Nonnegative Dual Graph Regularized Latent Low-Rank Representation
por: Yang, Guoliang, et al.
Publicado: (2017)

Discriminant Subspace Low-Rank Representation Algorithm for Electroencephalography-Based Alzheimer’s Disease Recognition
por: Tang, Tusheng, et al.
Publicado: (2022)

Diagnosis of Autism Spectrum Disorders Using Multi-Level High-Order Functional Networks Derived From Resting-State Functional MRI
por: Zhao, Feng, et al.
Publicado: (2018)

Symmetries and Laplacians: introduction to harmonic analysis, group representations and applications
por: Gurarie, D
Publicado: (1992)

Enhanced Data Representation by Kernel Metric Learning for Dementia Diagnosis
por: Cárdenas-Peña, David, et al.
Publicado: (2017)

LatLRR-FCNs: Latent Low-Rank Representation With Fully Convolutional Networks for Medical Image Fusion
por: Xu, Zhengyuan, et al.
Publicado: (2021)

Visualization of genetic disease-phenotype similarities by multiple maps t-SNE with Laplacian regularization
por: Xu, Weiwei, et al.
Publicado: (2014)

LRLSHMDA: Laplacian Regularized Least Squares for Human Microbe–Disease Association prediction
por: Wang, Fan, et al.
Publicado: (2017)

Non-Negative Symmetric Low-Rank Representation Graph Regularized Method for Cancer Clustering Based on Score Function
por: Lu, Conghai, et al.
Publicado: (2020)

Multi-view manifold regularized compact low-rank representation for cancer samples clustering on multi-omics data
por: Wang, Juan, et al.
Publicado: (2022)

LORETA With Cortical Constraint: Choosing an Adequate Surface Laplacian Operator
por: Iordanov, Todor, et al.
Publicado: (2018)

Test-Retest Reliability of “High-Order” Functional Connectivity in Young Healthy Adults
por: Zhang, Han, et al.
Publicado: (2017)

Brain Function Network: Higher Order vs. More Discrimination
por: Guo, Tingting, et al.
Publicado: (2021)

Multi-cancer samples clustering via graph regularized low-rank representation method under sparse and symmetric constraints
por: Wang, Juan, et al.
Publicado: (2019)

Low-Rank Regularization for Learning Gene Expression Programs
por: Ye, Guibo, et al.
Publicado: (2013)

Sparsity and locally low rank regularization for MR fingerprinting
por: Lima da Cruz, Gastão, et al.
Publicado: (2019)

LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction
por: Chen, Xing, et al.
Publicado: (2017)

Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Matrix Completion
por: Wang, Minhui, et al.
Publicado: (2018)

A Subspace Based Transfer Joint Matching with Laplacian Regularization for Visual Domain Adaptation
por: Sanodiya, Rakesh Kumar, et al.
Publicado: (2020)

Performing Sparse Regularization and Dimension Reduction Simultaneously in Multimodal Data Fusion
por: Yang, Zhengshi, et al.
Publicado: (2019)

Drug response prediction using graph representation learning and Laplacian feature selection
por: Xie, Minzhu, et al.
Publicado: (2022)

Improving Sparsity and Modularity of High-Order Functional Connectivity Networks for MCI and ASD Identification
por: Zhou, Yueying, et al.
Publicado: (2018)

The Lévy Laplacian
por: Feller, M N
Publicado: (2005)

The fractional Laplacian
por: Pozrikidis, C
Publicado: (2016)

Laplacian Estrada and Normalized Laplacian Estrada Indices of Evolving Graphs
por: Shang, Yilun
Publicado: (2015)

Machine Learning Representation of Loss of Eye Regularity in a Drosophila Neurodegenerative Model
por: Diez-Hermano, Sergio, et al.
Publicado: (2020)

Drug-Target Interaction Prediction via Dual Laplacian Graph Regularized Logistic Matrix Factorization
por: Wang, Aizhen, et al.
Publicado: (2021)

Unimodal statistical learning produces multimodal object-like representations
por: Lengyel, Gábor, et al.
Publicado: (2019)

Multimodal interaction enhanced representation learning for video emotion recognition
por: Xia, Xiaohan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_eq2s6nk2mv3l224j8oam2ggr20