Generative models have gained popularity for their potential application...
We present a novel method that integrates subspace modeling with an adap...
In recent years, generative adversarial networks (GANs) have gained
trem...
Modern generative models, such as generative adversarial networks (GANs)...
Computed medical imaging systems require a computational reconstruction
...
Deep learning-based image super-resolution (DL-SR) has shown great promi...
Tomographic image reconstruction is generally an ill-posed linear invers...