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02/10/2022
Mining the manifolds of deep generative models for multiple data-consistent solutions of ill-posed tomographic imaging problems
Tomographic imaging is in general an ill-posed inverse problem. Typicall...
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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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12/01/2020
On hallucinations in tomographic image reconstruction
Tomographic image reconstruction is generally an ill-posed linear invers...
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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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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