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04/02/2023
Ideal Observer Computation by Use of Markov-Chain Monte Carlo with Generative Adversarial Networks
Medical imaging systems are often evaluated and optimized via objective,...
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01/28/2022
A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise
Humans process visual information with varying resolution (foveated visu...
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06/27/2021
Learning stochastic object models from medical imaging measurements by use of advanced AmbientGANs
In order to objectively assess new medical imaging technologies via comp...
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01/30/2021
Advancing the AmbientGAN for learning stochastic object models
Medical imaging systems are commonly assessed and optimized by use of ob...
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05/29/2020
Approximating the Ideal Observer for joint signal detection and localization tasks by use of supervised learning methods
Medical imaging systems are commonly assessed and optimized by use of ob...
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05/29/2020
Learning stochastic object models from medical imaging measurements using Progressively-Growing AmbientGANs
It has been advocated that medical imaging systems and reconstruction al...
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03/04/2020
Approximating the Hotelling Observer with Autoencoder-Learned Efficient Channels for Binary Signal Detection Tasks
The objective assessment of image quality (IQ) has been advocated for th...
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02/03/2020
Learning Numerical Observers using Unsupervised Domain Adaptation
Medical imaging systems are commonly assessed by use of objective image ...
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01/27/2020
Medical image reconstruction with image-adaptive priors learned by use of generative adversarial networks
Medical image reconstruction is typically an ill-posed inverse problem. ...
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01/26/2020
Markov-Chain Monte Carlo Approximation of the Ideal Observer using Generative Adversarial Networks
The Ideal Observer (IO) performance has been advocated when optimizing m...
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01/26/2020
Progressively-Growing AmbientGANs For Learning Stochastic Object Models From Imaging Measurements
The objective optimization of medical imaging systems requires full char...
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05/15/2019