AIMC Topic: Attention

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Automated cardiac segmentation of cross-modal medical images using unsupervised multi-domain adaptation and spatial neural attention structure.

Medical image analysis Jun 17, 2021
Accurate cardiac segmentation of multimodal images, e.g., magnetic resonance (MR), computed tomography (CT) images, plays a pivot role in auxiliary diagnoses, treatments and postoperative assessments of cardiovascular diseases. However, training a we...
Heart Attention Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Neural Networks, Computer
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IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.

Computers in biology and medicine Jun 12, 2021
Accurate 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 r...
Image Processing, Computer-Assisted Attention Retinal Vessels Neural Networks, Computer Lung
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An Efficient and Accurate Iris Recognition Algorithm Based on a Novel Condensed 2-ch Deep Convolutional Neural Network.

Sensors (Basel, Switzerland) May 27, 2021
Recently, deep learning approaches, especially convolutional neural networks (CNNs), have attracted extensive attention in iris recognition. Though CNN-based approaches realize automatic feature extraction and achieve outstanding performance, they us...
Attention Iris Recognition, Psychology Neural Networks, Computer Algorithms
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Prediction of Head Movement in 360-Degree Videos Using Attention Model.

Sensors (Basel, Switzerland) May 25, 2021
In this paper, we propose a prediction algorithm, the combination of Long Short-Term Memory (LSTM) and attention model, based on machine learning models to predict the vision coordinates when watching 360-degree videos in a Virtual Reality (VR) or Au...
Attention Head Movements Machine Learning Algorithms Neural Networks, Computer
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Expression EEG Multimodal Emotion Recognition Method Based on the Bidirectional LSTM and Attention Mechanism.

Computational and mathematical methods in medicine May 11, 2021
Due to the complexity of human emotions, there are some similarities between different emotion features. The existing emotion recognition method has the problems of difficulty of character extraction and low accuracy, so the bidirectional LSTM and at...
Facial Expression Computational Biology Computer Simulation Emotions Humans Electroencephalography Deep Learning Attention Artificial Intelligence
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Using Eye Gaze to Enhance Generalization of Imitation Networks to Unseen Environments.

IEEE transactions on neural networks and learning systems May 3, 2021
Vision-based autonomous driving through imitation learning mimics the behavior of human drivers by mapping driver view images to driving actions. This article shows that performance can be enhanced via the use of eye gaze. Previous research has shown...
Artificial Intelligence Machine Learning Reproducibility of Results Humans Neural Networks, Computer Uncertainty Fixation, Ocular Attention Automobile Driving Deep Learning Image Processing, Computer-Assisted
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Incorporation of residual attention modules into two neural networks for low-dose CT denoising.

Medical physics Apr 23, 2021
PURPOSE: The low-dose computed tomography (CT) imaging can reduce the damage caused by x-ray radiation to the human body. However, low-dose CT images have a different degree of artifacts than conventional CT images, and their resolution is lower than...
Humans Signal-To-Noise Ratio Image Processing, Computer-Assisted Neural Networks, Computer Algorithms Attention Tomography, X-Ray Computed
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Contrast-Attentive Thoracic Disease Recognition With Dual-Weighting Graph Reasoning.

IEEE transactions on medical imaging Apr 1, 2021
Automatic thoracic disease diagnosis is a rising research topic in the medical imaging community, with many potential applications. However, the inconsistent appearances and high complexities of various lesions in chest X-rays currently hinder the de...
Attention Thoracic Diseases Humans Lung Radiography Neural Networks, Computer
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Transferable Multilevel Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multitask Learning.

Journal of chemical information and modeling Feb 25, 2021
The development of efficient models for predicting specific properties through machine learning is of great importance for the innovation of chemistry and material science. However, predicting global electronic structure properties like Frontier mole...
Attention Thermodynamics Machine Learning Neural Networks, Computer Proteins
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Medical Image Classification Algorithm Based on Visual Attention Mechanism-MCNN.

Oxidative medicine and cellular longevity Feb 19, 2021
Due to the complexity of medical images, traditional medical image classification methods have been unable to meet the actual application needs. In recent years, the rapid development of deep learning theory has provided a technical approach for solv...
Attention Neural Networks, Computer Algorithms Humans Image Processing, Computer-Assisted Female Lung Neoplasms Breast Neoplasms
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