Results 31 to 40 of about 2,604 (146)

Longitudinal Awake Mouse Brain Imaging Using Functional Ultrasound and Functional Ultrasound Localization Microscopy

Advanced Science, EarlyView.
Awake longitudinal multimodal ultrasound imaging integrates functional ultrasound (fUS), ultrasound localization microscopy (ULM), and functional ULM (fULM) to characterize cerebrovascular function, microvascular architecture, and flow dynamics within the same animals over time.
Zhe Huang, Yike Wang, Matthew R. Lowerison, Yue Xu, Murong Yi, Bing‐Ze Lin, YiRang Shin, Nathiya Vaithiyalingam Chandra Sekaran, Daniel A. Llano, Pengfei Song   +9 more
wiley   +1 more source

White matter changes and gait decline in cerebral small vessel disease

NeuroImage: Clinical, 2018
The relation between progression of cerebral small vessel disease (SVD) and gait decline is uncertain, and diffusion tensor imaging (DTI) studies on gait decline are lacking.
H.M. van der Holst, A.M. Tuladhar, V. Zerbi, I.W.M. van Uden, K.F. de Laat, E.M.C. van Leijsen, M. Ghafoorian, B. Platel, M.I. Bergkamp, A.G.W. van Norden, D.G. Norris, E.J. van Dijk, A.J. Kiliaan, F.-E. de Leeuw   +13 more
doaj   +1 more source

From Data to Discovery: Machine Learning–Enabled Intelligent Characterization of Two‐Dimensional Materials

Advanced Intelligent Discovery, EarlyView.
Machine learning serves as a central engine for the intelligent characterization of two‐dimensional materials by integrating multimodal techniques, including optical microscopy, spectroscopy, electron microscopy, and scanning probe microscopy (SPM). This unified framework enables automated, high‐throughput, and quantitative extraction of structural ...
Zhi‐Long Cao, Jia‐Xu Yan
wiley   +1 more source

Color Image Restoration Using Sub-Image Based Low-Rank Tensor Completion

Sensors, 2023
Many restoration methods use the low-rank constraint of high-dimensional image signals to recover corrupted images. These signals are usually represented by tensors, which can maintain their inherent relevance.
Xiaohua Liu, Guijin Tang
doaj   +1 more source

SubDIVIDE: Efficient tensor‐valued diffusion magnetic resonance imaging via joint diffusional variance decomposition modeling and subspace reconstruction

Journal of Intelligent Medicine, EarlyView.
SubDIVIDE integrates a physics‐consistent DIVIDE subspace directly into MRI reconstruction. By embedding a low‐rank basis derived from a large DIVIDE signal dictionary into a joint ADMM optimization—together with composite sensitivity maps that absorb inter‐b‐value phase errors—the framework recovers quantitative microstructural maps from highly ...
Cheng Yang, Jingguo Yan, Zihan Zhou, Zhong Xue, Qiuyun Fan   +4 more
wiley   +1 more source

Weighted t-Schatten-p Norm Minimization for Real Color Image Denoising

IEEE Access, 2020
In this paper, to fully exploit the spatial and spectral correlation information, we present a new real color image denoising scheme using tensor Schatten-p norm (t-Schatten-p norm) minimization based on t-SVD to recover the underlying low-rank tensor ...
Min Liu, Xinggan Zhang, Lan Tang
doaj   +1 more source

T-Hy-Demosaicing: Hyperspectral Reconstruction Via Tensor Subspace Representation Under Orthogonal Transformation

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
This article aims to solve the problem of the hyperspectral imagery (HSI) demosaicing under a novel subsampling hyperspectral sensing strategy. The existing method utilizes the periodic structure of subsampling to estimate a fixed subspace in matrix form
Shan-Shan Xu, Ting-Zhu Huang, Jie Lin, Yong Chen   +3 more
doaj   +1 more source

From structural design to model compression: Research progress on lightweight algorithms for motor imagery brain–computer interfaces

Journal of Intelligent Medicine, EarlyView.
Lightweight Motor Imagery BCI Decoding: From Structural Design to Model Compression. This graphical abstract summarizes the motivation, principal strategies, and deployment benefits of lightweight motor imagery brain–computer interface decoding. Structural‐level lightweight designs, including depthwise separable, multi‐branch, and dilated convolutions,
Yijie Zhou, Zhuoyue Chu, Shengcui Cheng, Mingming Zhang, Long Chen, Zhongpeng Wang   +5 more
wiley   +1 more source

HOSVD++: A Tensor-Based High Order SVD++ Recommendation System

Big Data Mining and Analytics
In the context of big data enabling e-commerce, content platforms, and social networks, Recommendation Systems (RSs) play a crucial role in providing personalized items and services suggestions to users.
Jiawei Wang, Sai Gu, Xiaotong Zhou, Ren Li, Yuxiang Zheng, Debin Liu, Ruonan Zhao, Huazhong Liu, M. Jamal Deen   +8 more
doaj   +1 more source

Non‐Rigid Motion‐Compensated MR Multitasking for Free‐Breathing Low‐Dose Dynamic Contrast‐Enhanced MRI in the Abdomen

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To improve free‐breathing low‐dose quantitative dynamic contrast‐enhanced (DCE) MRI for imaging pancreatic ductal adenocarcinoma. Methods We introduced non‐rigid (NR) motion compensation (MoCo) into MR Multitasking using a novel “in‐subspace” formulation that directly applies motion fields to spatial feature maps (eigenimages ...
Lingceng Ma, Chaowei Wu, Lixia Wang, Hsu‐Lei Lee, Junzhou Chen, Zheyuan Hu, Yibin Xie, Stephen J. Pandol, Srinivas Gaddam, Debiao Li, Anthony G. Christodoulou   +10 more
wiley   +1 more source