AIMC Topic: Attention

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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...
Animals Robotics Electric Organ Electric Fish Attention Animal Communication
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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...
Humans Image Processing, Computer-Assisted Attention Semantics Supervised Machine Learning
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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...
Liver Attention Humans Neural Networks, Computer Disease Progression Image Processing, Computer-Assisted
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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 ...
Attention Image Processing, Computer-Assisted Humans Neural Networks, Computer Tomography, X-Ray Computed Mandible
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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...
Electrocardiography Neural Networks, Computer Arrhythmias, Cardiac Algorithms Humans Attention
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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
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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 ...
Deep Learning Attention Machine Learning Neural Networks, Computer
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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...
Image Processing, Computer-Assisted Attention Neural Networks, Computer Video Recording Algorithms Humans
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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 ...
Brain Discrimination, Psychological Computer Simulation Signal-To-Noise Ratio Neural Networks, Computer Models, Neurological Attention Learning Animals Humans
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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...
Neural Networks, Computer Image Processing, Computer-Assisted Magnetic Resonance Imaging Heart Humans Attention
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