Results 231 to 240 of about 8,230,666 (286)
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
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Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective To evaluate the expression of nine blood RNA biomarkers in a clinical trial based on genes previously identified in an experimental monkey model of stroke for diagnosis feasibility and prognostication. Methods IBIS‐CT1 was a prospective longitudinal study enrolling patients with ischemic stroke (IS) or intracerebral hemorrhage (ICH ...
Salomé Retailleau +11 more
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Long‐Term Neurologic Exam Findings in People Diagnosed and Treated During Acute HIV Infection
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Evaluate clinical and laboratory correlates of abnormal neurologic exam findings after acute HIV infection (AHI). Methods Participants from the RV254/SEARCH 010 cohort in Bangkok underwent standardized neurologic examinations at Weeks 0 (AHI), 12, 96, and 288 following antiretroviral therapy (ART).
Kathryn B. Holroyd +118 more
wiley +1 more source
Four Transformer-Based Deep Learning Classifiers Embedded with an Attention U-Net-Based Lung Segmenter and Layer-Wise Relevance Propagation-Based Heatmaps for COVID-19 X-ray Scans. [PDF]
Diagnostics (Basel)Gupta S +12 more
europepmc +1 more source
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Dual Encoder Attention U-net for Nuclei Segmentation
2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021Nuclei segmentation in whole slide images (WSIs) stained with Hematoxylin and Eosin (H&E) dye, is a key step in computational pathology which aims to automate the laborious process of manual counting and segmentation. Nuclei segmentation is a challenging problem that involves challenges such as touching nuclei resolution, small-sized nuclei, size, and ...
Abhishek Vahadane +2 more
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Image Dehazing With Contextualized Attentive U-NET
2020 IEEE International Conference on Image Processing (ICIP), 2020Haze, which occurs due to the accumulation of fine dust or smoke particles in the atmosphere, degrades outdoor imaging, resulting in reduced attractiveness of outdoor photography and the effectiveness of vision-based systems. In this paper, we present an end-to-end convolutional neural network for image dehazing.
Yean-Wei Lee, Lai-Kuan Wong, John See
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IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation
Computers in Biology and Medicine, 2021Accurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In recent years, deep convolutional neural networks have been developed that show strong performance in ...
Siyuan Chen, Yanni Zou, Peter X. Liu
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Attention Wave-U-Net for Speech Enhancement
2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2019We propose a novel application of an attention mechanism in neural speech enhancement, by presenting a U-Net architecture with attention mechanism, which processes the raw waveform directly, and is trained end-to-end. We find that the inclusion of the attention mechanism significantly improves the performance of the model in terms of the objective ...
Ritwik Giri +2 more
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SEGMENTATION OF SPINAL SUBARACHNOID LUMEN WITH 3D ATTENTION U-NET
Journal of Mechanics in Medicine and Biology, 2023Phase Contrast Magnetic Resonance Image (PC-MRI) is an emerging noninvasive technique that contains pulsatile information by measuring the parameters of cerebrospinal fluid (CSF) flow. As CSF flow quantities are measured from the selected region on the images, the accuracy in the identification of the interested region is the most essential, and the ...
Keleş, A. +4 more
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