Generating synthetic CTs from magnetic resonance images using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2018 at "Medical Physics"
DOI: 10.1002/mp.13047
Abstract: PURPOSE While MR-only treatment planning using synthetic CTs (synCTs) offers potential for streamlining clinical workflow, a need exists for an efficient and automated synCT generation in the brain to facilitate near real-time MR-only planning. This… read more here.
Keywords: generative adversarial; adversarial networks; model; synthetic cts ... See more keywords
Photo-realistic dehazing via contextual generative adversarial networks
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DOI: 10.1007/s00138-020-01082-5
Abstract: Single image dehazing is a challenging task due to its ambiguous nature. In this paper we present a new model based on generative adversarial networks (GANs) for single image dehazing, called as dehazing GAN. In… read more here.
Keywords: generative adversarial; dehazing via; image; realistic dehazing ... See more keywords
GANSim: Conditional Facies Simulation Using an Improved Progressive Growing of Generative Adversarial Networks (GANs)
Sign Up to like & getrecommendations! Published in 2021 at "Mathematical Geosciences"
DOI: 10.1007/s11004-021-09934-0
Abstract: Conditional facies modeling combines geological spatial patterns with different types of observed data, to build earth models for predictions of subsurface resources. Recently, researchers have used generative adversarial networks (GANs) for conditional facies modeling, where… read more here.
Keywords: generative adversarial; adversarial networks; networks gans; conditional facies ... See more keywords
Data augmentation for handwritten digit recognition using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-020-08883-w
Abstract: Supervised learning techniques require labeled examples that can be time consuming to obtain. In particular, deep learning approaches, where all the feature extraction stages are learned within the artificial neural network, require a large number… read more here.
Keywords: generative adversarial; adversarial networks; recognition; labeled examples ... See more keywords
Image classification based on principal component analysis optimized generative adversarial networks
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DOI: 10.1007/s11042-020-10137-8
Abstract: Recently, the generative adversarial networks(GAN) has been widely used in various fields of machine learning. It avoids the complicated solving process of the original generation model while ensuring the generation effect. However, since the inputs… read more here.
Keywords: generative adversarial; adversarial networks; principal component; image classification ... See more keywords
Digital Rock Reconstruction with User-Defined Properties Using Conditional Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2022 at "Transport in Porous Media"
DOI: 10.1007/s11242-021-01728-6
Abstract: Uncertainty is ubiquitous with multiphase flow in subsurface rocks due to their inherent heterogeneity and lack of in-situ measurements. To complete uncertainty analysis in a multi-scale manner, it is a prerequisite to provide sufficient rock… read more here.
Keywords: rock; reconstruction; adversarial networks; digital rock ... See more keywords
pix2xray: converting RGB images into X-rays using generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Computer Assisted Radiology and Surgery"
DOI: 10.1007/s11548-020-02159-2
Abstract: Purpose We propose a novel methodology for generating synthetic X-rays from 2D RGB images. This method creates accurate simulations for use in non-diagnostic visualization problems where the only input comes from a generic camera. Traditional… read more here.
Keywords: generative adversarial; adversarial networks; hand pose; pix2xray converting ... See more keywords
Face attribute editing based on generative adversarial networks
Sign Up to like & getrecommendations! Published in 2020 at "Signal, Image and Video Processing"
DOI: 10.1007/s11760-020-01660-0
Abstract: Face attribute editing is to edit the face image by modifying single or multiple attributes while maintaining the face identity. In the paper, we propose a method for attribute editing of face images by using… read more here.
Keywords: generative adversarial; attribute editing; face attribute; adversarial networks ... See more keywords
Generative Adversarial Networks with Joint Distribution Moment Matching
Sign Up to like & getrecommendations! Published in 2019 at "Journal of the Operations Research Society of China"
DOI: 10.1007/s40305-019-00248-x
Abstract: AbstractGenerative adversarial networks (GANs) have shown impressive power in the field of machine learning. Traditional GANs have focused on unsupervised learning tasks. In recent years, conditional GANs that can generate data with labels have been… read more here.
Keywords: adversarial networks; joint distribution; moment matching; distribution moment ... See more keywords
Short-term optimal operation of hydro-wind-solar hybrid system with improved generative adversarial networks
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2019.04.090
Abstract: Abstract The high penetration of variable renewable energy sources (RESs) has greatly increased the difficulty in power system scheduling and operation. To fully utilize the complementary characteristics of various RESs, a stochastic optimization model considering… read more here.
Keywords: system; generative adversarial; improved generative; hybrid system ... See more keywords
Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks
Sign Up to like & getrecommendations! Published in 2020 at "Computers in biology and medicine"
DOI: 10.1016/j.compbiomed.2020.104029
Abstract: Barrett's esophagus figured a swift rise in the number of cases in the past years. Although traditional diagnosis methods offered a vital role in early-stage treatment, they are generally time- and resource-consuming. In this context,… read more here.
Keywords: generative adversarial; data augmentation; adversarial networks; barrett esophagus ... See more keywords