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Low-dose CT dataset for generative adversarial network training
A dataset of 40 low-dose chest CT scans with varying dose levels and slice thicknesses, used for training a generative adversarial network for CT normalization. -
Enhanced generative adversarial network for 3D brain MRI super-resolution
Single image super-resolution (SISR) reconstruction for magnetic resonance imaging (MRI) has generated significant interest because of its potential to not only speed up imaging... -
Reļ¬neGAN
Compressed Sensing MRI reconstruction using a Generative Adversarial Network with a Cyclic Loss -
CySGAN: Cyclic Segmentation Generative Adversarial Network
Instance segmentation for unlabeled imaging modalities is a challenging but essential task as collecting expert annotation can be expensive and time-consuming. Existing works... -
Synthetic dataset for hyperbolic GAN
The dataset used in the paper is a synthetic dataset generated using the proposed hyperbolic generative adversarial network (GAN) model. -
Audio inpainting with generative adversarial network
Audio inpainting with generative adversarial network
