DARU-Net: A dual attention residual U-Net for uterine fibroids segmentation on MRI.
Sign Up to like & getrecommendations! Published in 2023 at "Journal of applied clinical medical physics"
DOI: 10.1002/acm2.13937
Abstract: Abstract Purpose Uterine fibroid is the most common benign tumor in female reproductive organs. In order to guide the treatment, it is crucial to detect the location, shape, and size of the tumor. This study… read more here.
Keywords: uterine fibroids; attention mechanisms; segmentation; deep learning ... See more keywords
Attention mechanisms underlying dual‐color digital visual search based on Schulte grid: An event‐related potential study
Sign Up to like & getrecommendations! Published in 2022 at "Brain and Behavior"
DOI: 10.1002/brb3.2471
Abstract: Attention selection is considered to be determined by the perceptual load of cognitive tasks and attention resources that are assigned to processing‐independent stimuli. read more here.
Keywords: dual color; attention mechanisms; mechanisms underlying; color digital ... See more keywords
Can Attention Mechanisms Improve Carbon Price Forecasting Accuracy?
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70031
Abstract: This study examines the predictive performance of Feature Attention (FA), Temporal Attention (TA), and Feature and Temporal Attention (FATA) within Gated Recurrent Unit (GRU), Long Short‐Term Memory (LSTM), and Transformer architectures using price data from… read more here.
Keywords: market; attention; price; attention mechanisms ... See more keywords
Enhancing EfficientNetv2 with global and efficient channel attention mechanisms for accurate MRI-Based brain tumor classification
Sign Up to like & getrecommendations! Published in 2024 at "Cluster Computing"
DOI: 10.1007/s10586-024-04532-1
Abstract: The early and accurate diagnosis of brain tumors is critical for effective treatment planning, with Magnetic Resonance Imaging (MRI) serving as a key tool in the non-invasive examination of such conditions. Despite the advancements in… read more here.
Keywords: classification; brain; attention; attention mechanisms ... See more keywords
DeepMaT: Prediction of Target Peptide Classification and Cleavage Site by Combining Mamba2 and Multiple Attention Mechanisms
Sign Up to like & getrecommendations! Published in 2025 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.5c01489
Abstract: Signal peptides and transit peptides are essential for directing mature proteins to their proper cellular locations, particularly through cleavage following transport. Although various prediction tools achieve strong performance in identifying and classifying targeting peptides, their… read more here.
Keywords: attention mechanisms; prediction; cleavage site; cleavage ... See more keywords
Enhancing Visual Place Recognition With Hybrid Attention Mechanisms in MixVPR
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3487171
Abstract: Visual Place Recognition (VPR) is a fundamental task in robotics and computer vision, where the ability to recognize locations from visual inputs is crucial for autonomous navigation systems. Traditional methods, which rely on handcrafted features… read more here.
Keywords: place recognition; hybrid attention; attention; visual place ... See more keywords
ITSC Fault Diagnosis for Five Phase Permanent Magnet Motors by Attention Mechanisms and Multiscale Convolutional Residual Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2023.3329245
Abstract: This article proposes a multiscale convolutional residual neural network algorithm with attention mechanisms for early interturn short circuit (ITSC) fault diagnosis of five-phase permanent magnet synchronous motors (FPPMSMs). First, a multiscale convolutional neural network with… read more here.
Keywords: attention; attention mechanisms; network; convolutional residual ... See more keywords
Dual Attention Model for Citation Recommendation with Analyses on Explainability of Attention Mechanisms and Qualitative Experiments
Sign Up to like & getrecommendations! Published in 2022 at "Computational Linguistics"
DOI: 10.1162/coli_a_00438
Abstract: Abstract Based on an exponentially increasing number of academic articles, discovering and citing comprehensive and appropriate resources have become non-trivial tasks. Conventional citation recommendation methods suffer from severe information losses. For example, they do not… read more here.
Keywords: citation recommendation; attention mechanisms; citation; model ... See more keywords
Inverse Architecture U-Net – InvU-Net
Sign Up to like & getrecommendations! Published in 2024 at "Artificial Intelligence"
DOI: 10.15407/jai2024.04.115
Abstract: The article proposes an inverse architecture of the U-Net neural network, named InvU-Net, which differs from the traditional scheme by increasing the dimensionality of images during the initial stages of processing. A comparison was conducted… read more here.
Keywords: net invu; inverse architecture; attention mechanisms; invu net ... See more keywords
An Alzheimer's Disease Identification and Classification Model Based on the Convolutional Neural Network with Attention Mechanisms
Sign Up to like & getrecommendations! Published in 2021 at "Traitement du Signal"
DOI: 10.18280/ts.380533
Abstract: Received: 25 June 2021 Accepted: 12 September 2021 MRI image analysis of brain regions based on deep learning can effectively reduce the workload of doctors in reading films and improve the accuracy of diagnosis. Therefore,… read more here.
Keywords: attention mechanisms; classification; model; alzheimer disease ... See more keywords
DASD- diagnosing autism spectrum disorder based on stereotypical hand-flapping movements using multi-stream neural networks and attention mechanisms
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Physiology"
DOI: 10.3389/fphys.2025.1593965
Abstract: Introduction The early detection and diagnosis of autism spectrum disorder (ASD) remain critical challenges in developmental healthcare, with traditional diagnostic methods relying heavily on subjective clinical observations. Methods In this paper, we introduce an innovative… read more here.
Keywords: multi stream; attention mechanisms; hand flapping;