No information is available for this page. · Learn why
The proposed method employs a unified generative adversarial network (unified GAN) which translates any randomly selected MRI scan to the rest scan types.
Oct 27, 2020 · The results demonstrate that the proposed method is able to accurately synthesize multimodal MR images from a single MR image. Keywords: ...
Multi-modality MRI arbitrary transformation using unified generative adversarial networks ... The role of generative adversarial networks in brain MRI: a ...
We proposed a novel multimodal MR image synthesis method based on a unified generative adversarial network. The network takes an image and its modality ...
Missing: transformation | Show results with:transformation
The purpose. 33 of this study is to develop a unified framework for multimodal MR image synthesis. 34. Methods: A unified generative adversarial network ...
Apr 29, 2024 · Multimodal MRI synthesis using unified generative adversarial networks. ... Dual arbitrary scale super-resolution for multi-contrast MRI.
People also ask
What is the role of generative adversarial networks in brain MRI?
What is a GANs for image classification?
What is generative adversarial networks in medical?
What is generative adversarial networks in neuroscience?
To address these limitations, this study proposes a novel method that leverages the power of generative adversarial networks (GANs) to generate multi-domain MRI ...
Apr 11, 2023 · [30] proposed an MM-GAN, which used information from all available contrasts to synthesize missing ones using a single encoding-decoding pathway ...
Jun 4, 2022 · Lei Y et al (2020) Multi-modality MRI arbitrary transformation using unified generative adversarial networks. In: Progress in biomedical ...