High On/Off Ratio Spintronic Multi‐Level Memory Unit for Deep Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202103357
Abstract: Spintronic devices are considered as one of the most promising technologies for non‐volatile memory and computing. However, two crucial drawbacks, that is, lack of intrinsic multi‐level operation and low on/off ratio, greatly hinder their further… read more here.
Keywords: deep neural; multi level; ratio; memory unit ... See more keywords
Unified deep neural network for segmentation and labeling of multipanel biomedical figures
Sign Up to like & getrecommendations! Published in 2020 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24334
Abstract: Recent efforts in biomedical visual question answering (VQA) research rely on combined information gathered from the image content and surrounding text supporting the figure. Biomedical journals are a rich source of information for such multimodal… read more here.
Keywords: unified deep; deep neural; segmentation; panel ... See more keywords
Text analysis using deep neural networks in digital humanities and information science
Sign Up to like & getrecommendations! Published in 2021 at "Journal of the Association for Information Science and Technology"
DOI: 10.1002/asi.24544
Abstract: Combining computational technologies and humanities is an ongoing effort aimed at making resources such as texts, images, audio, video, and other artifacts digitally available, searchable, and analyzable. In recent years, deep neural networks (DNN) dominate… read more here.
Keywords: deep neural; neural networks; text analysis; information science ... See more keywords
A deep neural network using audio files for detection of aortic stenosis
Sign Up to like & getrecommendations! Published in 2022 at "Clinical Cardiology"
DOI: 10.1002/clc.23826
Abstract: Although aortic stenosis (AS) is the most common valvular heart disease in the western world, many affected patients remain undiagnosed. Auscultation is a readily available screening tool for AS. However, it requires a high level… read more here.
Keywords: neural network; deep neural; aortic stenosis; using audio ... See more keywords
Experimental exploration on loss surface of deep neural network
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22434
Abstract: The loss function of the deep neural network is high dimensional, nonconvex and complex. So far, the geometric properties of the loss surface of the neural network have not been well understood. Different from most… read more here.
Keywords: neural network; loss surface; deep neural; loss ... See more keywords
LiteCovidNet: A lightweight deep neural network model for detection of COVID‐19 using X‐ray images
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22770
Abstract: The syndrome called COVID‐19 which was firstly spread in Wuhan, China has already been declared a globally “Pandemic.” To stymie the further spread of the virus at an early stage, detection needs to be done.… read more here.
Keywords: neural network; deep neural; ray images; covid ... See more keywords
A stacked autoencoder‐based convolutional and recurrent deep neural network for detecting cyberattacks in interconnected power control systems
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22581
Abstract: Modern interconnected power grids are a critical target of many kinds of cyber‐attacks, potentially affecting public safety and introducing significant economic damages. In such a scenario, more effective detection and early alerting tools are needed.… read more here.
Keywords: control systems; deep neural; power; interconnected power ... See more keywords
Resolution of singularities via deep complex-valued neural networks
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Methods in The Applied Sciences"
DOI: 10.1002/mma.4434
Abstract: It has been reported that training deep neural networks is more difficult than training shallow neural networks. Hinton et al. proposed deep belief networks with a learning algorithm that trains one layer at a time. A… read more here.
Keywords: valued neural; deep neural; neural networks; singular points ... See more keywords
Deep neural networks for magnetic resonance elastography acceleration in thermal ablation monitoring.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.15471
Abstract: PURPOSE To develop a deep neural network for accelerating magnetic resonance elastography (MRE) acquisition, to validate the ability to generate reliable MRE results with the down-sampled k-space data, and to demonstrate the feasibility of the… read more here.
Keywords: magnetic resonance; deep neural; ablation; method ... See more keywords
A feasibility study on deep-neural-network-based dose-neutral dual-energy digital breast tomosynthesis.
Sign Up to like & getrecommendations! Published in 2022 at "Medical physics"
DOI: 10.1002/mp.16071
Abstract: BACKGROUND Diagnostic performance based on X-ray breast imaging is subject to breast density. Although digital breast tomosynthesis (DBT) is reported to outperform conventional mammography in denser breasts, mass detection and malignancy characterization are often considered… read more here.
Keywords: neural network; dual energy; deep neural; breast ... See more keywords
Deep neural network based CEST and AREX processing: Application in imaging a model of Alzheimer's disease at 3 T.
Sign Up to like & getrecommendations! Published in 2021 at "Magnetic resonance in medicine"
DOI: 10.1002/mrm.29044
Abstract: PURPOSE To optimize and apply deep neural network based CEST (deepCEST) and apparent exchange dependent-relaxation (deepAREX) for imaging the mouse brain with Alzheimer's disease (AD) at 3T MRI. METHODS CEST and T1 data of central… read more here.
Keywords: based cest; arex; network based; deep neural ... See more keywords