Bayesian MRI reconstruction with joint uncertainty estimation using diffusion models
Sign Up to like & getrecommendations! 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 & getrecommendations! 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 & getrecommendations! 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
Hematoma Expansion Context Guided Intracranial Hemorrhage Segmentation and Uncertainty Estimation
Sign Up to like & getrecommendations! 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 & getrecommendations! 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 & getrecommendations! 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
Crosstalk Effects in the Uncertainty Estimation of Multiplexed Data Acquisition Systems
Sign Up to like & getrecommendations! 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
Semantic segmentation of gonio-photographs via adaptive ROI localisation and uncertainty estimation
Sign Up to like & getrecommendations! Published in 2021 at "BMJ Open Ophthalmology"
DOI: 10.1136/bmjophth-2021-000898
Abstract: Objective To develop and test a deep learning (DL) model for semantic segmentation of anatomical layers of the anterior chamber angle (ACA) in digital gonio-photographs. Methods and analysis We used a pilot dataset of 274… read more here.
Keywords: segmentation; uncertainty; uncertainty estimation; gonio photographs ... See more keywords
Measurement Uncertainty Estimation for Laser Doppler Anemometer
Sign Up to like & getrecommendations! Published in 2021 at "Energies"
DOI: 10.3390/en14133847
Abstract: Twenty percent of global electricity supplied to the buildings is used for preventing air temperature increase; its consumption for this prevention will triple by 2050 up to China’s present needs. Heat removed from the thermal… read more here.
Keywords: uncertainty; uncertainty estimation; laser doppler; estimation laser ... See more keywords
Monte Carlo simulation for uncertainty estimation on structural data in implicit 3-D geological modeling, a guide for disturbance distribution selection and parameterization
Sign Up to like & getrecommendations! Published in 2018 at "Solid Earth"
DOI: 10.5194/se-9-385-2018
Abstract: Abstract. Three-dimensional (3-D) geological structural modeling aims to determine geological information in a 3-D space using structural data (foliations and interfaces) and topological rules as inputs. This is necessary in any project in which the… read more here.
Keywords: uncertainty; uncertainty estimation; modeling; parameterization ... See more keywords