Results 61 to 70 of about 2,392 (180)

Global ethnic disparities in cerebral small vessel disease imaging markers and vascular risk factors: a systematic review and meta‐analysis

Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract Ethnic disparities in cerebral small vessel disease (CSVD) have been reported, but no systematic synthesis has compared markers and vascular risk factors across populations. We conducted a PROSPERO‐registered systematic review and meta‐analysis (CRD42024518105) including over two million community‐dwelling adults.
Nikita K. Husein, Keshuo Lin, David K. E. Chan, Jiyang Jiang, John D. Crawford, Perminder S. Sachdev, Wei Wen   +6 more
wiley   +1 more source

Plasma and neuroimaging biomarkers of small vessel disease and Alzheimer's disease in a diverse cohort: MESA

Alzheimer's &Dementia, Volume 22, Issue 2, February 2026.
Abstract INTRODUCTION Little is known about how Alzheimer's disease (AD) plasma biomarkers relate to cerebral small vessel disease (cSVD) neuroimaging biomarkers. METHODS The study involved 251 Wake Forest Multi‐Ethnic Study of Atherosclerosis (MESA) Exam 6 participants with plasma AD biomarkers, magnetic resonance imaging, amyloid positron emission ...
Samuel N. Lockhart, Courtney L. Sutphen, Jordan Tanley, Fernando Gonzalez‐Ortiz, Przemysław R. Kac, Mohamad Habes, Susan R. Heckbert, Nicholas J. Ashton, Michelle M. Mielke, Robert Koeppe, Marc D. Rudolph, Kiran K. Solingapuram Sai, Christopher T. Whitlow, Kevin D. Hiatt, Suzanne Craft, Thomas C. Register, Kathleen M. Hayden, Stephen R. Rapp, Bonnie C. Sachs, Henrik Zetterberg, Kaj Blennow, Thomas K. Karikari, Timothy M. Hughes   +22 more
wiley   +1 more source

Tensor-SVD Based Graph Learning for Multi-View Subspace Clustering

Proceedings of the AAAI Conference on Artificial Intelligence, 2020
Low-rank representation based on tensor-Singular Value Decomposition (t-SVD) has achieved impressive results for multi-view subspace clustering, but it does not well deal with noise and illumination changes embedded in multi-view data. The major reason is that all the singular values have the same contribution in tensor-nuclear norm based on t-SVD ...
Quanxue Gao, Wei Xia, Zhizhen Wan, Deyan Xie, Pu Zhang   +4 more
openaire   +2 more sources

How Far Are Two Symmetric Matrices From Commuting? With an Application to Object Characterisation and Identification in Metal Detection

Mathematical Methods in the Applied Sciences, Volume 49, Issue 3, Page 1914-1942, February 2026.
ABSTRACT Examining the extent to which measurements of rotation matrices are close to each other is challenging due measurement noise. To overcome this, data is typically smoothed, and the Riemannian and Euclidean metrics are applied. However, if rotation matrices are not directly measured and are instead formed by eigenvectors of measured symmetric ...
P. D. Ledger, W. R. B. Lionheart, J. Elgy   +2 more
wiley   +1 more source

Definition and Computation of Tensor‐Based Generalized Function Composition

Numerical Linear Algebra with Applications, Volume 33, Issue 1, February 2026.
ABSTRACT Functions are fundamental to mathematics as they offer a structured and analytical framework to express relations between variables. While scalar and matrix‐based functions are well‐established, higher‐order tensor‐based functions have not been as extensively explored.
Remy Boyer
wiley   +1 more source

Structural brain network measures are superior to vascular burden scores in predicting early cognitive impairment in post stroke patients with small vessel disease

NeuroImage: Clinical, 2019
Objectives: In this cross-sectional study, we aimed to explore the mechanisms of early cognitive impairment in a post stroke non-dementia cerebral small vessel disease (SVD) cohort by comparing the SVD score with the structural brain network measures ...
Jing Du, Yao Wang, Nan Zhi, Jieli Geng, Wenwei Cao, Ling Yu, Jianhua Mi, Yan Zhou, Qun Xu, Wei Wen, Perminder Sachdev   +10 more
doaj   +1 more source

Tensor-Based Low-Rank and Sparse Prior Information Constraints for Hyperspectral Image Denoising

IEEE Access, 2020
Hyperspectral data have been widely used in various fields due to its rich spectral and spatial information in recent years. Yet, hyperspectral images are always tainted by a variety of mixed noises.
Guxi Wang, Hongwei Han, Emmanuel John M. Carranza, Si Guo, Ke Guo, Keyan Xiao   +5 more
doaj   +1 more source

Gray matter microstructure from in vivo diffusion magnetic resonance imaging reflects post mortem neuropathology severity and clinical progression of Alzheimer's disease

Alzheimer's &Dementia, Volume 22, Issue 1, January 2026.
Abstract INTRODUCTION Diffusion‐weighted imaging derived mean diffusivity (MD) correlates with Alzheimer's disease (AD) biomarkers, yet its neuropathological correlates remain unclear. METHODS Diffusion‐weighted imaging, post mortem neuropathology, and cognitive performance data were obtained from the National Alzheimer's Coordinating Center (N = 97 ...
Zaki Alasmar, Cécilia Tremblay, Roqaie Moqadam, Geidy E Serrano, Thomas G Beach, Alireza Atri, Yi Su, for the Alzheimer's Disease Neuroimaging Initiative, Yashar Zeighami, Mahsa Dadar   +9 more
wiley   +1 more source

Low-Rank Tensor Completion for Image and Video Recovery via Capped Nuclear Norm

IEEE Access, 2019
Inspired by the robustness and efficiency of the capped nuclear norm, in this paper, we apply it to 3D tensor applications and propose a novel low-rank tensor completion method via tensor singular value decomposition (t-SVD) for image and video recovery.
Xi Chen, Jie Li, Yun Song, Feng Li, Jianjun Chen, Kun Yang   +5 more
doaj   +1 more source

Silent yet impaired: Hidden memory processing deficits in asymptomatic individuals with moderate‐to‐severe white matter hyperintensities

Alzheimer's &Dementia, Volume 22, Issue 1, January 2026.
Abstract INTRODUCTION White matter hyperintensities (WMHs) are strongly associated with cognitive decline and dementia, but whether asymptomatic individuals with moderate‐to‐severe WMHs (msWMHs) are truly cognitively intact, particularly in visual short‐term memory (VSTM), remains unclear.
Aonan Li, Lei Liu, Yueyan Bian, Yuanyuan Lu, Xiuqin Jia, Yuanyuan Chen, Yi Tang, Yi Xing   +7 more
wiley   +1 more source