AIMC Topic: Neural Networks, Computer

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A framework for preparing a stochastic nonlinear integrate-and-fire model for integrated information theory.

Network (Bristol, England)
This paper presents a framework for spiking neural networks to be prepared for the Integrated Information Theory (IIT) analysis, using a stochastic nonlinear integrate-and-fire model. The model includes the crucial dynamics of the all-or-none law and...

CardiSort: a convolutional neural network for cross vendor automated sorting of cardiac MR images.

European radiology
OBJECTIVES: To develop an image-based automatic deep learning method to classify cardiac MR images by sequence type and imaging plane for improved clinical post-processing efficiency.

The impact of transfer learning on 3D deep learning convolutional neural network segmentation of the hippocampus in mild cognitive impairment and Alzheimer disease subjects.

Human brain mapping
Research on segmentation of the hippocampus in magnetic resonance images through deep learning convolutional neural networks (CNNs) shows promising results, suggesting that these methods can identify small structural abnormalities of the hippocampus,...

Evaluation of text-to-gesture generation model using convolutional neural network.

Neural networks : the official journal of the International Neural Network Society
Conversational gestures have a crucial role in realizing natural interactions with virtual agents and robots. Data-driven approaches, such as deep learning and machine learning, are promising in constructing the gesture generation model, which automa...

DGInet: Dynamic graph and interaction-aware convolutional network for vehicle trajectory prediction.

Neural networks : the official journal of the International Neural Network Society
This paper investigates vehicle trajectory prediction problems in real traffic scenarios by fully harnessing the spatio-temporal dependencies between multiple vehicles. The existing GCN-based trajectory predictions are often considered in a single tr...

Multigraph classification using learnable integration network with application to gender fingerprinting.

Neural networks : the official journal of the International Neural Network Society
Multigraphs with heterogeneous views present one of the most challenging obstacles to classification tasks due to their complexity. Several works based on feature selection have been recently proposed to disentangle the problem of multigraph heteroge...

Think positive: An interpretable neural network for image recognition.

Neural networks : the official journal of the International Neural Network Society
The COVID-19 pandemic is an ongoing pandemic and is placing additional burden on healthcare systems around the world. Timely and effectively detecting the virus can help to reduce the spread of the disease. Although, RT-PCR is still a gold standard f...

Lag H synchronization of coupled neural networks with multiple state couplings and multiple delayed state couplings.

Neural networks : the official journal of the International Neural Network Society
This paper mainly focuses on the lag H synchronization problem of coupled neural networks with multiple state or delayed state couplings. On one hand, by exploiting state feedback controller and Lyapunov functional, a criterion of lag H synchronizati...

TAHDNet: Time-aware hierarchical dependency network for medication recommendation.

Journal of biomedical informatics
Medication recommendation is a hot topic in the research of applying neural networks to the healthcare area. Although extensive progressions have been made, current researches still face the following challenges: (i). Existing methods are poor at eff...

Can uncertainty estimation predict segmentation performance in ultrasound bone imaging?

International journal of computer assisted radiology and surgery
PURPOSE: Segmenting bone surfaces in ultrasound (US) is a fundamental step in US-based computer-assisted orthopaedic surgeries. Neural network-based segmentation techniques are a natural choice for this, given promising results in related tasks. Howe...