AIMC Topic: Attention

Clear Filters Showing 331 to 340 of 589 articles

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks.

Sensors (Basel, Switzerland) Aug 20, 2021
Tasks which require sustained attention over a lengthy period of time have been a focal point of cognitive fatigue research for decades, with these tasks including air traffic control, watchkeeping, baggage inspection, and many others. Recent researc...
Wakefulness Aviation Electroencephalography Attention Humans Deep Learning
View on PubMed DOI

Electric signal synchronization as a behavioural strategy to generate social attention in small groups of mormyrid weakly electric fish and a mobile fish robot.

Biological cybernetics Aug 16, 2021
African weakly electric fish communicate at night by constantly emitting and perceiving brief electrical signals (electric organ discharges, EOD) at variable inter-discharge intervals (IDI). While the waveform of single EODs contains information abou...
Electric Organ Animals Electric Fish Robotics Attention Animal Communication
View on PubMed DOI

Learning to Segment From Scribbles Using Multi-Scale Adversarial Attention Gates.

IEEE transactions on medical imaging Jul 30, 2021
Large, fine-grained image segmentation datasets, annotated at pixel-level, are difficult to obtain, particularly in medical imaging, where annotations also require expert knowledge. Weakly-supervised learning can train models by relying on weaker for...
Supervised Machine Learning Attention Image Processing, Computer-Assisted Semantics Humans
View on PubMed DOI

Attention-Guided Deep Neural Network With Multi-Scale Feature Fusion for Liver Vessel Segmentation.

IEEE journal of biomedical and health informatics Jul 27, 2021
Liver vessel segmentation is fast becoming a key instrument in the diagnosis and surgical planning of liver diseases. In clinical practice, liver vessels are normally manual annotated by clinicians on each slice of CT images, which is extremely labor...
Neural Networks, Computer Disease Progression Humans Liver Image Processing, Computer-Assisted Attention
View on PubMed DOI

Automatic mandible segmentation from CT image using 3D fully convolutional neural network based on DenseASPP and attention gates.

International journal of computer assisted radiology and surgery Jul 21, 2021
PURPOSE: In cranio-maxillofacial surgery, it is of great clinical significance to segment mandible accurately and automatically from CT images. However, the connected region and blurred boundary in teeth and condyles make the process challenging. At ...
Image Processing, Computer-Assisted Attention Mandible Humans Neural Networks, Computer Tomography, X-Ray Computed
View on PubMed DOI

xECGNet: Fine-tuning attention map within convolutional neural network to improve detection and explainability of concurrent cardiac arrhythmias.

Computer methods and programs in biomedicine Jul 21, 2021
Background and objectiveDetecting abnormal patterns within an electrocardiogram (ECG) is crucial for diagnosing cardiovascular diseases. We start from two unresolved problems in applying deep-learning-based ECG classification models to clinical pract...
Neural Networks, Computer Algorithms Electrocardiography Arrhythmias, Cardiac Humans Attention
View on PubMed DOI

End-to-end learnable EEG channel selection for deep neural networks with Gumbel-softmax.

Journal of neural engineering Jul 20, 2021
To develop an efficient, embedded electroencephalogram (EEG) channel selection approach for deep neural networks, allowing us to match the channel selection to the target model, while avoiding the large computational burdens of wrapper approaches in ...
Neural Networks, Computer Electroencephalography Attention
View on PubMed DOI

Graph-Based Deep Learning for Medical Diagnosis and Analysis: Past, Present and Future.

Sensors (Basel, Switzerland) Jul 12, 2021
With the advances of data-driven machine learning research, a wide variety of prediction problems have been tackled. It has become critical to explore how machine learning and specifically deep learning methods can be exploited to analyse healthcare ...
Attention Machine Learning Deep Learning Neural Networks, Computer
View on PubMed DOI

I Understand You: Blind 3D Human Attention Inference From the Perspective of Third-Person.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jul 9, 2021
Inferring object-wise human attention in 3D space from the third-person perspective (e.g., a camera) is crucial to many visual tasks and applications, including human-robot collaboration, unmanned vehicle driving, etc. Challenges arise from classical...
Neural Networks, Computer Humans Image Processing, Computer-Assisted Video Recording Attention Algorithms
View on PubMed DOI

Noise Correlations for Faster and More Robust Learning.

The Journal of neuroscience : the official journal of the Society for Neuroscience Jun 30, 2021
Distributed population codes are ubiquitous in the brain and pose a challenge to downstream neurons that must learn an appropriate readout. Here we explore the possibility that this learning problem is simplified through inductive biases implemented ...
Discrimination, Psychological Signal-To-Noise Ratio Brain Models, Neurological Neural Networks, Computer Computer Simulation Humans Learning Attention Animals
View on PubMed DOI
Popular Topics
Recent Journals