AIMC Topic: Uncertainty

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Robust min-max optimal control design for systems with uncertain models: A neural dynamic programming approach.

Neural networks : the official journal of the International Neural Network Society Jan 31, 2020
The design of an artificial neural network (ANN) based sub-optimal controller to solve the finite-horizon optimization problem for a class of systems with uncertainties is the main outcome of this study. The optimization problem considers a convex pe...
Uncertainty Computer Simulation Nonlinear Dynamics Humans Neural Networks, Computer
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Deep pancreas segmentation with uncertain regions of shadowed sets.

Magnetic resonance imaging Jan 24, 2020
Pancreas segmentation is a challenging task in medical image analysis especially for the patients with pancreatic cancer. First, the images often have poor contrast and blurred boundaries. Second, there exist large variations in gray scale, texture, ...
Algorithms Fuzzy Logic Databases, Factual Pancreatic Neoplasms Reproducibility of Results Image Processing, Computer-Assisted Humans Deep Learning Magnetic Resonance Imaging Pancreas Uncertainty
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A novel intuitionistic fuzzy MCDM-based CODAS approach for locating an authorized dismantling center: a case study of Istanbul.

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA Jan 23, 2020
As the number of end-of-life vehicles (ELVs) increases rapidly, their management has become one of the most important environmental topics worldwide. This study is conducted to evaluate various alternatives for location selection of an authorized dis...
Fuzzy Logic Decision Making Uncertainty
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An improved deep network for tissue microstructure estimation with uncertainty quantification.

Medical image analysis Jan 22, 2020
Deep learning based methods have improved the estimation of tissue microstructure from diffusion magnetic resonance imaging (dMRI) scans acquired with a reduced number of diffusion gradients. These methods learn the mapping from diffusion signals in ...
Humans White Matter Connectome Uncertainty Deep Learning Image Enhancement Diffusion Magnetic Resonance Imaging
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Adaptive tracking synchronization for coupled reaction-diffusion neural networks with parameter mismatches.

Neural networks : the official journal of the International Neural Network Society Jan 9, 2020
In this paper, tracking synchronization for coupled reaction-diffusion neural networks with parameter mismatches is investigated. For such a networked control system, only local neighbor information is used to compensate the mismatch characteristic t...
Neural Networks, Computer Uncertainty
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DeepCQ: Deep multi-task conditional quantification network for estimation of left ventricle parameters.

Computer methods and programs in biomedicine Dec 20, 2019
BACKGROUND AND OBJECTIVE: Automatic cardiac left ventricle (LV) quantification plays an important role in assessing cardiac function. Although many advanced methods have been put forward to quantify related LV parameters, automatic cardiac LV quantif...
Signal-To-Noise Ratio Humans Task Performance and Analysis Uncertainty Deep Learning Neural Networks, Computer Heart Ventricles Algorithms
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On Modelling Label Uncertainty in Deep Neural Networks: Automatic Estimation of Intra- Observer Variability in 2D Echocardiography Quality Assessment.

IEEE transactions on medical imaging Dec 13, 2019
Uncertainty of labels in clinical data resulting from intra-observer variability can have direct impact on the reliability of assessments made by deep neural networks. In this paper, we propose a method for modelling such uncertainty in the context o...
Humans Uncertainty Echocardiography Observer Variation Neural Networks, Computer Reproducibility of Results
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Two Distinct Neural Timescales for Predictive Speech Processing.

Neuron Dec 2, 2019
During speech listening, the brain could use contextual predictions to optimize sensory sampling and processing. We asked if such predictive processing is organized dynamically into separate oscillatory timescales. We trained a neural network that us...
Uncertainty Magnetoencephalography Time Factors Brain Waves Male Speech Humans Brain Female Neural Networks, Computer
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Uncertainty and interpretability in convolutional neural networks for semantic segmentation of colorectal polyps.

Medical image analysis Nov 20, 2019
Colorectal polyps are known to be potential precursors to colorectal cancer, which is one of the leading causes of cancer-related deaths on a global scale. Early detection and prevention of colorectal cancer is primarily enabled through manual screen...
Monte Carlo Method Uncertainty Deep Learning Colonic Polyps Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Decision Support Techniques Semantics Colonoscopy
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Accuracy, uncertainty, and adaptability of automatic myocardial ASL segmentation using deep CNN.

Magnetic resonance in medicine Nov 14, 2019
PURPOSE: To apply deep convolution neural network to the segmentation task in myocardial arterial spin labeled perfusion imaging and to develop methods that measure uncertainty and that adapt the convolution neural network model to a specific false-p...
Humans Neural Networks, Computer Myocardium Image Processing, Computer-Assisted Uncertainty Magnetic Resonance Imaging
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