Results 61 to 70 of about 279,028 (324)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu +14 more
wiley +1 more source
Bayesian Hypothesis Testing for Block Sparse Signal Recovery
, 2015 This letter presents a novel Block Bayesian Hypothesis Testing Algorithm (Block-BHTA) for reconstructing block sparse signals with unknown block structures.
Korki, Mehdi +2 more
core +1 more source
Sparse signal recovery under Poisson statistics [PDF]
2013 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2013 We are motivated by problems that arise in a number of applications such as Online Marketing and explosives detection, where the observations are usually modeled using Poisson statistics. We model each observation as a Poisson random variable whose mean is a sparse linear superposition of known patterns.
Motamedvaziri, D. +2 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Considerable efforts have been dedicated to developing effective treatments for post‐stroke executive impairment (PSEI), among which repetitive transcranial magnetic stimulation (rTMS) has shown great potential. This study aimed to investigate the therapeutic effects of high‐frequency rTMS on working memory (WM) and response ...
Mengting Lao +6 more
wiley +1 more source
Semi-Random Sparse Recovery in Nearly-Linear Time [PDF]
, 2022 Jonathan A. Kelner +4 more
openalex +1 more source
Sparse recovery for Earth Mover Distance [PDF]
2010 48th Annual Allerton Conference on Communication, Control, and Computing (Allerton), 2010 We initiate the study of sparse recovery problems under the Earth-Mover Distance (EMD). Specifically, we design a distribution over m × n matrices A, for m « n, such that for any x, given Ax, we can recover a k-sparse approximation to x under the EMD distance.
Gupta, Rishi V. +2 more
openaire +2 more sources
Sparse signal recovery in Hilbert spaces [PDF]
2012 IEEE International Symposium on Information Theory Proceedings, 2012 This paper reports an effort to consolidate numerous coherence-based sparse signal recovery results available in the literature. We present a single theory that applies to general Hilbert spaces with the sparsity of a signal defined as the number of (possibly infinite-dimensional) subspaces participating in the signal's representation.
Pope, Graeme, Bölcskei, Helmut
openaire +2 more sources
Arthritis Care &Research, Accepted Article.Objective We aimed to estimate the prevalence and cumulative incidence of hydroxychloroquine retinopathy (HCQ‐R) and its risk factors among long‐term HCQ users with rheumatic diseases through a systematic review and meta‐analysis of observational studies that used spectral‐domain OCT (SD‐OCT) for screening. Methods A systematic search of PubMed, Scopus,
Narsis Daftarian +4 more
wiley +1 more source
Robust Sparse Recovery in Impulsive Noise via M-Estimator and Non-Convex Regularization
IEEE Access, 2019 Robust sparse recovery aims at recovering a sparse signal or image from its compressed and contaminated measurements. Under the impulsive noise condition, the performance of traditional sparse recovery algorithms may deteriorate seriously for exploiting &
Le Gao +5 more
doaj +1 more source
Harnessing Fungal Biowelding for Constructing Mycelium‐Engineered Materials
Advanced Engineering Materials, EarlyView.Mycelium‐bound composites (MBCs) offer low‐carbon alternatives for construction, yet interfacial bonding remains a critical challenge. This review examines fungal biowelding as a biocompatible adhesive, elucidating mycelium‐mediated interfacial mechanisms and their role in material assembly. Strategies to optimize biowelding are discussed, highlighting
Xue Brenda Bai +2 more
wiley +1 more source