Assessing global developmental delay across instruments in minimally verbal preschool autistic children: The importance of a multi‐method and multi‐informant approach
Sign Up to like & getrecommendations! Published in 2021 at "Autism Research"
DOI: 10.1002/aur.2630
Abstract: Intellectual assessment in preschool autistic children bears many challenges, particularly for those who have lower language and/or cognitive abilities. These challenges often result in underestimation of their potential or exclusion from research studies. Understanding how… read more here.
Keywords: multi; global developmental; developmental delay; preschool autistic ... See more keywords
Temporal dynamic analysis of a mountain ecosystem based on multi‐source and multi‐scale remote sensing data
Sign Up to like & getrecommendations! Published in 2019 at "Ecosphere"
DOI: 10.1002/ecs2.2708
Abstract: During the last decades, ecosystems have suffered a decline in natural resources due to climate change and anthropogenic pressure. Specifically, the European rabbit introduced by humans, as well as drought episodes, have led to a… read more here.
Keywords: multi source; ecosystem; remote sensing; multi ... See more keywords
Residual UNet with Dual Attention—An ensemble residual UNet with dual attention for multi‐modal and multi‐class brain MRI segmentation
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22817
Abstract: In this paper, we have proposed a variant of UNet for brain magnetic resonance imaging (MRI) segmentation. The proposed model, termed as Residual UNet with Dual Attention (RUDA), addresses the two significant challenges of UNet:… read more here.
Keywords: dual attention; unet dual; multi; segmentation ... See more keywords
Ensemble feature selection for multi‐label text classification: An intelligent order statistics approach
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.23044
Abstract: Because of the overgrowth of data, especially in text format, the value and importance of multi‐label text classification have increased. Aside from this, preprocessing and particularly intelligent feature selection (FS) are the most important step… read more here.
Keywords: label text; order statistics; classification; multi ... See more keywords
Multi‐Planar, Multi‐Contrast and Multi‐Time Point Analysis Tool (MOCHA) for Intracranial Vessel Wall Characterization
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.28087
Abstract: Three‐dimensional (3D) intracranial vessel wall (IVW) magnetic resonance imaging can reliably image intracranial atherosclerotic disease (ICAD). However, an integrated, streamlined, and optimized workflow for IVW analysis to provide qualitative and quantitative measurements is lacking. read more here.
Keywords: multi; analysis; intracranial vessel; vessel wall ... See more keywords
Multi‐iPPseEvo: A Multi‐label Classifier for Identifying Human Phosphorylated Proteins by Incorporating Evolutionary Information into Chou′s General PseAAC via Grey System Theory
Sign Up to like & getrecommendations! Published in 2017 at "Molecular Informatics"
DOI: 10.1002/minf.201600085
Abstract: Predicting phosphorylation protein is a challenging problem, particularly when query proteins have multi‐label features meaning that they may be phosphorylated at two or more different type amino acids. In fact, human protein usually be phosphorylated… read more here.
Keywords: multi; system; multi label; multi ippseevo ... See more keywords
Design of a class of fractional‐order hyperchaotic multidirectional multi‐scroll attractors
Sign Up to like & getrecommendations! Published in 2019 at "Mathematical Methods in the Applied Sciences"
DOI: 10.1002/mma.5922
Abstract: In this paper, we aim to construct novel complex fractional‐order hyperchaotic multi‐scroll (FOHCMS) attractors from a simple structure by employing nonlinearities with different forming mechanism. In particular, saturated nonlinear function series, stair nonlinear function series,… read more here.
Keywords: order hyperchaotic; multi; fractional order; multi scroll ... See more keywords
Spectral efficiency optimization for intelligent reflecting surface aided multi‐input multi‐output terahertz system
Sign Up to like & getrecommendations! Published in 2020 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32362
Abstract: Intelligent reflecting surface (IRS) is considered as a promising application in terahertz (THz) communications since it is able to enhance the THz communication with no additional power consumptions. In this letter, we consider a downlink… read more here.
Keywords: reflecting surface; multi; intelligent reflecting; multi input ... See more keywords
Compact broadband multi‐input multi‐output antenna covering 3300 to 6000 MHz band for 5G mobile terminal applications
Sign Up to like & getrecommendations! Published in 2020 at "Microwave and Optical Technology Letters"
DOI: 10.1002/mop.32451
Abstract: In this letter, a compact multi‐input multi‐output antenna operating at 3300 to 6000 MHz band is presented for 5G mobile terminals. The antenna includes four vertically placed blocks. Each block consists of two driven monopole elements… read more here.
Keywords: multi; mhz band; multi input; band ... See more keywords
Assisted annotation in Deep LOGISMOS: Simultaneous multi-compartment 3D MRI segmentation of calf muscles.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16284
Abstract: BACKGROUND Automated segmentation of individual calf muscle compartments in 3D MR images is gaining importance in diagnosing muscle disease, monitoring its progression, and prediction of the disease course. Although deep convolutional neural networks have ushered… read more here.
Keywords: assisted annotation; multi; calf; segmentation ... See more keywords
A modality-collaborative convolution and transformer hybrid network for unpaired multi-modal medical image segmentation with limited annotations.
Sign Up to like & getrecommendations! Published in 2023 at "Medical physics"
DOI: 10.1002/mp.16338
Abstract: BACKGROUND Multi-modal learning is widely adopted to learn the latent complementary information between different modalities in multi-modal medical image segmentation tasks. Nevertheless, the traditional multi-modal learning methods require spatially well-aligned and paired multi-modal images for… read more here.
Keywords: unpaired multi; multi modal; multi; modality ... See more keywords