Noise and Signal Estimation in Magnitude MRI and Rician Distributed Images: A LMMSE Approach
By S. Aja‐Fernández, Carlos Alberola-López, Carl-Fredrik Westin. IEEE Transactions on Image Processing, 2008
330 citations recorded by the source corpus.
Subfields: Computational Mechanics, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/17dafa6f55301b94ce574bc6cd26741df05857f3
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Mechanics
- Yanhui Guo
- Martin Burger
- J. Mohan
- V. Krishnaveni
- Martin Benning
- Xuecheng Tai
- Stanley J. Osher
- Tony F. Chan
In Computer Vision and Pattern Recognition
- Yanhui Guo
- Martin Burger
- J. Mohan
- V. Krishnaveni
- Martin Benning
- Xuecheng Tai
- Stanley J. Osher
- Tony F. Chan
Citations in the corpus
- A survey on the magnetic resonance image denoising methods (2014, methodology): “LMMSE [83] 27.”
- Modern regularization methods for inverse problems (2018, background): “This yields a convex regularization functional for reconstructing multiple peaks at unknown locations and has been proposed for inverse problems in [56], respectively for superresolution problems in [100, 101, 3].”