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09/09/2023
AmbientFlow: Invertible generative models from incomplete, noisy measurements
Generative models have gained popularity for their potential application...
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06/14/2023
High-Dimensional MR Reconstruction Integrating Subspace and Adaptive Generative Models
We present a novel method that integrates subspace modeling with an adap...
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04/26/2022
Assessing the ability of generative adversarial networks to learn canonical medical image statistics
In recent years, generative adversarial networks (GANs) have gained trem...
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04/07/2022
Evaluating Procedures for Establishing Generative Adversarial Network-based Stochastic Image Models in Medical Imaging
Modern generative models, such as generative adversarial networks (GANs)...
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02/17/2022
Prior image-based medical image reconstruction using a style-based generative adversarial network
Computed medical imaging systems require a computational reconstruction ...
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07/06/2021
Impact of deep learning-based image super-resolution on binary signal detection
Deep learning-based image super-resolution (DL-SR) has shown great promi...
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12/01/2020
