AIMC Topic: Algorithms

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Fetal thymus volume estimation by virtual organ computer-aided analysis in normal pregnancies.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine
OBJECTIVES: The thymus has a pyramidal shape, which is best shown in coronal planes. The aim of this study was to evaluate the potential of virtual organ computer-aided analysis to estimate fetal thymus volume in normal pregnancies.

Variational inference with ARD prior for NIRS diffuse optical tomography.

IEEE transactions on neural networks and learning systems
Diffuse optical tomography (DOT) reconstructs 3-D tomographic images of brain activities from observations by near-infrared spectroscopy (NIRS) that is formulated as an ill-posed inverse problem. This brief presents a method for NIRS DOT based on a h...

Self-organizing neural networks integrating domain knowledge and reinforcement learning.

IEEE transactions on neural networks and learning systems
The use of domain knowledge in learning systems is expected to improve learning efficiency and reduce model complexity. However, due to the incompatibility with knowledge structure of the learning systems and real-time exploratory nature of reinforce...

Predicting selective liver X receptor β agonists using multiple machine learning methods.

Molecular bioSystems
Liver X receptor (LXR) α and β are cholesterol sensors; they respond to excess cholesterol and stimulate reverse cholesterol transport. Activating LXRs represents a promising therapeutic option for dyslipidemia. However, activating LXRα may cause unw...

Advanced Insulin Bolus Advisor Based on Run-To-Run Control and Case-Based Reasoning.

IEEE journal of biomedical and health informatics
This paper presents an advanced insulin bolus advisor for people with diabetes on multiple daily injections or insulin pump therapy. The proposed system, which runs on a smartphone, keeps the simplicity of a standard bolus calculator while enhancing ...

[Adaptive "3R" De-Noising Algorithm Based on Near Infrared Bi-Spectrum].

Guang pu xue yu guang pu fen xi = Guang pu
Adaptive de-noising algorithm is proposed based on transmission spectrum and absorption spectrum of near infrared. Near infrared transmission spectrum and absorption spectrum collected synchronously are decomposed into intrinsic mode functions by ens...

Intrinsic excitability state of local neuronal population modulates signal propagation in feed-forward neural networks.

Chaos (Woodbury, N.Y.)
Reliable signal propagation across distributed brain areas is an essential requirement for cognitive function, and it has been investigated extensively in computational studies where feed-forward network (FFN) is taken as a generic model. But it is s...

Automatic learning-based beam angle selection for thoracic IMRT.

Medical physics
PURPOSE: The treatment of thoracic cancer using external beam radiation requires an optimal selection of the radiation beam directions to ensure effective coverage of the target volume and to avoid unnecessary treatment of normal healthy tissues. Int...

A universal concept based on cellular neural networks for ultrafast and flexible solving of differential equations.

IEEE transactions on neural networks and learning systems
This paper develops and validates a comprehensive and universally applicable computational concept for solving nonlinear differential equations (NDEs) through a neurocomputing concept based on cellular neural networks (CNNs). High-precision, stabilit...

Impulsive stabilization and impulsive synchronization of discrete-time delayed neural networks.

IEEE transactions on neural networks and learning systems
This paper investigates the problems of impulsive stabilization and impulsive synchronization of discrete-time delayed neural networks (DDNNs). Two types of DDNNs with stabilizing impulses are studied. By introducing the time-varying Lyapunov functio...