Results 11 to 20 of about 48,320 (262)
Low-Dose 68 Ga-PSMA Prostate PET/MRI Imaging Using Deep Learning Based on MRI Priors
Frontiers in Oncology, 2022 Background68 Ga-prostate-specific membrane antigen (PSMA) PET/MRI has become an effective imaging method for prostate cancer. The purpose of this study was to use deep learning methods to perform low-dose image restoration on PSMA PET/MRI and to evaluate
Fuquan Deng +19 more
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Priors, population sizes, and power in genome-wide hypothesis tests
BMC Bioinformatics, 2023 Background Genome-wide tests, including genome-wide association studies (GWAS) of germ-line genetic variants, driver tests of cancer somatic mutations, and transcriptome-wide association tests of RNAseq data, carry a high multiple testing burden.
Jitong Cai +3 more
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Acquisition of multiple prior distributions in tactile temporal order judgment
Frontiers in Psychology, 2012 The Bayesian estimation theory proposes that the brain acquires the prior distribution of a task and integrates it with sensory signals to minimize the effect of sensory noise.
Yasuhito eNagai +5 more
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A Genomic Bayesian Multi-trait and Multi-environment Model
G3: Genes, Genomes, Genetics, 2016 When information on multiple genotypes evaluated in multiple environments is recorded, a multi-environment single trait model for assessing genotype × environment interaction (G × E) is usually employed. Comprehensive models that simultaneously take into
Osval A. Montesinos-López +6 more
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Objective bayesian analysis for multiple repairable systems.
PLoS ONE, 2021 This article focus on the analysis of the reliability of multiple identical systems that can have multiple failures over time. A repairable system is defined as a system that can be restored to operating state in the event of a failure.
Amanda M E D'Andrea +8 more
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Multispectral Image Noise Removal With Adaptive Loss and Multiple Image Priors Model
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Multispectral image (MSI) denoising is a crucial preprocessing step for various subsequent image processing tasks, including classification, recognition, and unmixing.
Yang Chen +4 more
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On the implementation of local probability matching priors for interest parameters [PDF]
, 2005 Probability matching priors are priors for which the posterior probabilities of certain specified sets are exactly or approximately equal to their coverage probabilities.
Sweeting, TJ, Trevor J. Sweeting
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Adaptive Semantic Priors Guided Multiple Scale Low-Light Image Enhancement [PDF]
ITM Web of ConferencesTo address those major weaknesses of current methods of low-light enhancement, we introduce an Adaptive Semantic Prior Guided Multi-Scale Low-Light Image Enhancement (ASPG-MSLIE) framework which consists of three sections as illustrated in the abstract ...
Harish G. M. +3 more
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International Journal of Applied Earth Observations and Geoinformation, 2023 Target detection in hyperspectral images (HSIs) mainly relies on the spectral information of the target prior. However, prior spectra with precise variation information are often hard to obtain, and the “different objects with the same spectrum ...
Xiaodian Zhang +7 more
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Estimation of groundwater recharge using multiple climate models in Bayesian frameworks
Journal of Water and Climate Change, 2021 Groundwater recharge plays a vital role in replenishing aquifers, sustaining demand, and reducing adverse effects (e.g. land subsidence). In order to manage climate change-induced effects on groundwater dynamics, climate models are increasingly being ...
Kevin O. Achieng, Jianting Zhu
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