AIMC Topic: Attention

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Sequential vessel segmentation via deep channel attention network.

Neural networks : the official journal of the International Neural Network Society May 13, 2020
Accurately segmenting contrast-filled vessels from X-ray coronary angiography (XCA) image sequence is an essential step for the diagnosis and therapy of coronary artery disease. However, developing automatic vessel segmentation is particularly challe...
Humans Coronary Angiography Attention Artifacts Deep Learning Image Processing, Computer-Assisted Algorithms
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Fully automatic brain tumor segmentation with deep learning-based selective attention using overlapping patches and multi-class weighted cross-entropy.

Medical image analysis Apr 29, 2020
In this paper, we present a new Deep Convolutional Neural Networks (CNNs) dedicated to fully automatic segmentation of Glioblastoma brain tumors with high- and low-grade. The proposed CNNs model is inspired by the Occipito-Temporal pathway which has ...
Humans Brain Neoplasms Deep Learning Entropy Image Processing, Computer-Assisted Attention
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Neural memory plasticity for medical anomaly detection.

Neural networks : the official journal of the International Neural Network Society Apr 18, 2020
In the domain of machine learning, Neural Memory Networks (NMNs) have recently achieved impressive results in a variety of application areas including visual question answering, trajectory prediction, object tracking, and language modelling. However,...
Attention Memory Neuronal Plasticity Electroencephalography Neural Networks, Computer Brain Neoplasms Humans Databases, Factual Machine Learning Magnetic Resonance Imaging
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Academic Emotion Classification and Recognition Method for Large-scale Online Learning Environment-Based on A-CNN and LSTM-ATT Deep Learning Pipeline Method.

International journal of environmental research and public health Mar 16, 2020
Subjective well-being is a comprehensive psychological indicator for measuring quality of life. Studies have found that emotional measurement methods and measurement accuracy are important for well-being-related research. Academic emotion is an emoti...
Emotions Humans Internet Neural Networks, Computer Deep Learning Education, Distance Attention Quality of Life
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Applying deep learning to single-trial EEG data provides evidence for complementary theories on action control.

Communications biology Mar 9, 2020
Efficient action control is indispensable for goal-directed behaviour. Different theories have stressed the importance of either attention or response selection sub-processes for action control. Yet, it is unclear to what extent these processes can b...
Reaction Time Attention Goals Electroencephalography Signal Processing, Computer-Assisted Conflict, Psychological Neuropsychological Tests Motor Activity Brain Waves Deep Learning Adolescent Support Vector Machine Predictive Value of Tests Cognition Young Adult Adult Male Brain Female Humans
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A systematic evaluation of the evidence for perceptual control theory in tracking studies.

Neuroscience and biobehavioral reviews Feb 21, 2020
Perceptual control theory (PCT) proposes that perceptual inputs are controlled to intentional 'reference' states by hierarchical negative feedback control, evidence for which comes from manual tracking experiments in humans. We reviewed these experim...
Visual Perception Humans Psychomotor Performance Motor Activity Models, Theoretical Robotics Attention
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Attention guided capsule networks for chemical-protein interaction extraction.

Journal of biomedical informatics Feb 15, 2020
The biomedical literature contains a sufficient number of chemical-protein interactions (CPIs). Automatic extraction of CPI is a crucial task in the biomedical domain, which has excellent benefits for precision medicine, drug discovery and basic biom...
Research Design Publications Neural Networks, Computer Data Mining Attention
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On the localness modeling for the self-attention based end-to-end speech synthesis.

Neural networks : the official journal of the International Neural Network Society Feb 11, 2020
Attention based end-to-end speech synthesis achieves better performance in both prosody and quality compared to the conventional "front-end"-"back-end" structure. But training such end-to-end framework is usually time-consuming because of the use of ...
Humans Neural Networks, Computer Normal Distribution Communication Devices for People with Disabilities Speech Attention
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Neuromodulated attention and goal-driven perception in uncertain domains.

Neural networks : the official journal of the International Neural Network Society Feb 1, 2020
In uncertain domains, the goals are often unknown and need to be predicted by the organism or system. In this paper, contrastive Excitation Backprop (c-EB) was used in two goal-driven perception tasks - one with pairs of noisy MNIST digits and the ot...
Perception Uncertainty Reaction Time Attention Humans Goals Neural Networks, Computer Models, Neurological
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SACNN: Self-Attention Convolutional Neural Network for Low-Dose CT Denoising With Self-Supervised Perceptual Loss Network.

IEEE transactions on medical imaging Jan 21, 2020
Computed tomography (CT) is a widely used screening and diagnostic tool that allows clinicians to obtain a high-resolution, volumetric image of internal structures in a non-invasive manner. Increasingly, efforts have been made to improve the image qu...
Humans Signal-To-Noise Ratio Neural Networks, Computer Image Processing, Computer-Assisted Tomography, X-Ray Computed Attention
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