Figure 7 from DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning | Semantic Scholar (2024)

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@article{Wang2023DISGANWD, title={DISGAN: Wavelet-informed Discriminator Guides GAN to MRI Super-resolution with Noise Cleaning}, author={Qi Wang and Lucas Mahler and Julius Steiglechner and Florian Birk and Klaus Scheffler and Gabriele Lohmann}, journal={2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)}, year={2023}, pages={2444-2453}, url={}}
  • Qi Wang, Lucas Mahler, G. Lohmann
  • Published in IEEE/CVF International… 23 August 2023
  • Computer Science, Medicine, Engineering
  • 2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)

The proposed DISGAN is trained only on the SR task, but also achieves exceptional performance in denoising, and is dubbed "Denoising Induced Super-resolution GAN" due to its dual effects of SR image generation and simultaneous denoising.

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Magnetic Resonance Images (opens in a new tab)Denoising (opens in a new tab)Super-resolution (opens in a new tab)Deep Learning (opens in a new tab)Directional Wavelet Transform (opens in a new tab)Human Connectome Project (opens in a new tab)Convolutions (opens in a new tab)Generative Adversarial Networks (opens in a new tab)Denoising Process (opens in a new tab)BRAIN TUMOURS (opens in a new tab)

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