LAUSR

About LAUSR
Donate
Contact Us

Follow us:

You are not signed in:

Sign Up!


   Articles with "uncertainty estimation" as a keyword



Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models

Sign Up to like & get
recommendations! Published in 2022 at "Magnetic Resonance in Medicine"

DOI: 10.1002/mrm.29624

Abstract: We introduce a framework that enables efficient sampling from learned probability distributions for MRI reconstruction. read more here.

Keywords: bayesian mri; reconstruction joint; reconstruction; joint uncertainty ... See more keywords

Uncertainty estimation of the determination of chemical sum parameters in water

Sign Up to like & get
recommendations! Published in 2017 at "Accreditation and Quality Assurance"

DOI: 10.1007/s00769-017-1276-6

Abstract: Sum parameters (otherwise known as composite parameters) describe similar chemical, physicochemical or biological characteristics of different substances, substance groups or mixtures of substances. These might contain the same chemical element. Such parameters are total organic… read more here.

Keywords: uncertainty; uncertainty estimation; water; sum parameters ... See more keywords

Comparing Methods of Uncertainty Estimation in Optimal Fingerprinting

Sign Up to like & get
recommendations! Published in 2020 at "Geophysical Research Letters"

DOI: 10.1029/2020gl088060

Abstract: The performances of different uncertainty estimates in multipattern optimal fingerprinting are compared. The comparisons are performed in a perfect model context using the Canadian Earth System Model Large Ensemble to provide a clean comparison in… read more here.

Keywords: optimal fingerprinting; methods uncertainty; uncertainty; uncertainty estimation ... See more keywords

A practically oriented, efficient alternative to the Monte Carlo method for measurement uncertainty estimation

Sign Up to like & get
recommendations! Published in 2025 at "Metrologia"

DOI: 10.1088/1681-7575/adb3ab

Abstract: This paper addresses the problem of uncertainty estimation for measurements made with computationally expensive numerical models, which are increasingly applied today. Typically, the Monte Carlo method (MCM) is used for uncertainty propagation in these cases.… read more here.

Keywords: method; carlo method; efficient alternative; monte carlo ... See more keywords

Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation

Sign Up to like & get
recommendations! Published in 2022 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2021.3103850

Abstract: Accurate segmentation of the Intracranial Hemorrhage (ICH) in non-contrast CT images is significant for computer-aided diagnosis. Although existing methods have achieved remarkable11The code will be available from https://github.com/JohnleeHIT/SLEX-Net. results, none of them incorporated ICH’s prior… read more here.

Keywords: slice; segmentation; uncertainty estimation; expansion ... See more keywords

Aerial Single-View Depth Completion With Image-Guided Uncertainty Estimation

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2020.2967296

Abstract: On the pursuit of autonomous flying robots, the scientific community has been developing onboard real-time algorithms for localisation, mapping and planning. Despite recent progress, the available solutions still lack accuracy and robustness in many aspects.… read more here.

Keywords: completion; uncertainty estimation; depth completion; image ... See more keywords

A General Framework for Uncertainty Estimation in Deep Learning

Sign Up to like & get
recommendations! Published in 2020 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2020.2974682

Abstract: Neural networks predictions are unreliable when the input sample is out of the training distribution or corrupted by noise. Being able to detect such failures automatically is fundamental to integrate deep learning algorithms into robotics.… read more here.

Keywords: framework uncertainty; uncertainty; uncertainty estimation; framework ... See more keywords

Multiple Observer Adaptive Fusion for Uncertainty Estimation and Its Application to Wheel Velocity Systems

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Cybernetics"

DOI: 10.1109/tcyb.2024.3371213

Abstract: Uncertainty estimation in real-world scenarios is challenged by complexities arising from peaking phenomena and measurement noises. This article introduces a novel scheme for practical uncertainty estimation to mitigate peaking dynamics and enhance overall dynamic behavior.… read more here.

Keywords: adaptive fusion; estimation; wheel velocity; uncertainty estimation ... See more keywords

Crosstalk Effects in the Uncertainty Estimation of Multiplexed Data Acquisition Systems

Sign Up to like & get
recommendations! Published in 2021 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2021.3075782

Abstract: This article deals with the analysis of multichannel data-acquisition systems with the aim of identifying and combining the main uncertainty contributions according to the guide to the expression of uncertainty in measurement (GUM) framework. Particular… read more here.

Keywords: uncertainty; acquisition systems; data acquisition; multiplexed data ... See more keywords

Efficient Uncertainty Estimation for a Hybrid Wide-Area Human Action Analysis System

Sign Up to like & get
recommendations! Published in 2024 at "IEEE Transactions on Instrumentation and Measurement"

DOI: 10.1109/tim.2024.3413183

Abstract: Nowadays, wide-area action analysis systems are widely used in security and robotics communities, where multiobject simultaneous searching and action recognition play critical roles. However, these systems face challenges in balancing imaging resolution, searching efficiency, and… read more here.

Keywords: system; action analysis; uncertainty; uncertainty estimation ... See more keywords

Benefits of spatial uncertainty aggregation for segmentation in digital pathology

Sign Up to like & get
recommendations! Published in 2024 at "Journal of Medical Imaging"

DOI: 10.1117/1.jmi.11.1.017501

Abstract: Abstract. Purpose Uncertainty estimation has gained significant attention in recent years for its potential to enhance the performance of deep learning (DL) algorithms in medical applications and even potentially address domain shift challenges. However, it… read more here.

Keywords: spatial uncertainty; uncertainty aggregation; segmentation; pathology ... See more keywords