AIMC Topic: Algorithms

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Automated assessment of thigh composition using machine learning for Dixon magnetic resonance images.

Magma (New York, N.Y.)
OBJECTIVES: To develop and validate a machine learning based automated segmentation method that jointly analyzes the four contrasts provided by Dixon MRI technique for improved thigh composition segmentation accuracy.

Bridging the gap between formal and experience-based knowledge for context-aware laparoscopy.

International journal of computer assisted radiology and surgery
PURPOSE: Computer assistance is increasingly common in surgery. However, the amount of information is bound to overload processing abilities of surgeons. We propose methods to recognize the current phase of a surgery for context-aware information fil...

Global Exponential Stability of Almost Periodic Solution for Neutral-Type Cohen-Grossberg Shunting Inhibitory Cellular Neural Networks with Distributed Delays and Impulses.

Computational intelligence and neuroscience
A kind of neutral-type Cohen-Grossberg shunting inhibitory cellular neural networks with distributed delays and impulses is considered. Firstly, by using the theory of impulsive differential equations and the contracting mapping principle, the existe...

Advanced Fuzzy Potential Field Method for Mobile Robot Obstacle Avoidance.

Computational intelligence and neuroscience
An advanced fuzzy potential field method for mobile robot obstacle avoidance is proposed. The potential field method primarily deals with the repulsive forces surrounding obstacles, while fuzzy control logic focuses on fuzzy rules that handle linguis...

PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability.

Journal of the American Medical Informatics Association : JAMIA
OBJECTIVE: Health care generated data have become an important source for clinical and genomic research. Often, investigators create and iteratively refine phenotype algorithms to achieve high positive predictive values (PPVs) or sensitivity, thereby...

When are two multi-layer cellular neural networks the same?

Neural networks : the official journal of the International Neural Network Society
This paper aims to characterize whether a multi-layer cellular neural network is of deep architecture; namely, when can an n-layer cellular neural network be replaced by an m-layer cellular neural network for m

A Genetic Algorithm and Fuzzy Logic Approach for Video Shot Boundary Detection.

Computational intelligence and neuroscience
This paper proposed a shot boundary detection approach using Genetic Algorithm and Fuzzy Logic. In this, the membership functions of the fuzzy system are calculated using Genetic Algorithm by taking preobserved actual values for shot boundaries. The ...

Deep models for brain EM image segmentation: novel insights and improved performance.

Bioinformatics (Oxford, England)
MOTIVATION: Accurate segmentation of brain electron microscopy (EM) images is a critical step in dense circuit reconstruction. Although deep neural networks (DNNs) have been widely used in a number of applications in computer vision, most of these mo...

Sparse Support Vector Machine for Intrapartum Fetal Heart Rate Classification.

IEEE journal of biomedical and health informatics
Fetal heart rate (FHR) monitoring is routinely used in clinical practice to help obstetricians assess fetal health status during delivery. However, early detection of fetal acidosis that allows relevant decisions for operative delivery remains a chal...

Local community detection as pattern restoration by attractor dynamics of recurrent neural networks.

Bio Systems
Densely connected parts in networks are referred to as "communities". Community structure is a hallmark of a variety of real-world networks. Individual communities in networks form functional modules of complex systems described by networks. Therefor...