Perceptually Motivated Generative Model for Magnetic Resonance Image Denoising
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology
Link
https://link.springer.com/content/pdf/10.1007/s10278-022-00744-2.pdf
Reference67 articles.
1. Henkelman, R.M.: Measurement of signal intensities in the presence of noise in mr images. Medical physics 12(2), 232–233 (1985)
2. Nowak, R.D.: Wavelet-based rician noise removal for magnetic resonance imaging. IEEE Transactions on Image Processing 8(10), 1408–1419 (1999)
3. Luisier, F., Blu, T., Wolfe, P.J.: A cure for noisy magnetic resonance images: Chi-square unbiased risk estimation. IEEE Transactions on Image Processing 21(8), 3454–3466 (2012)
4. You, S., Lei, B., Wang, S., Chui, C.K., Cheung, A.C., Liu, Y., Gan, M., Wu, G., Shen, Y.: Fine perceptive gans for brain mr image super-resolution in wavelet domain. IEEE transactions on neural networks and learning systems (2022)
5. Hu, S., Lei, B., Wang, S., Wang, Y., Feng, Z., Shen, Y.: Bidirectional mapping generative adversarial networks for brain mr to pet synthesis. IEEE Transactions on Medical Imaging 41(1), 145–157 (2021)
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