46 citations · 102 across the 4 of their papers we have counts for
4 papers
Empowering Networks With Scale and Rotation Equivariance Using A Similarity Convolution
Zikai Sun, Thierry Blu
The translational equivariant nature of Convolutional Neural Networks (CNNs) is a reason for its great success in computer vision. However, networks do not enjoy more general equiv…
Denoising of Three-Dimensional Fast Spin Echo Magnetic Resonance Images of Knee Joints using Spatial-Variant Noise-Relevant Residual Learning of Convolution Neural Network
Shutian Zhao, Donal G. Cahill, Siyue Li +4
Two-dimensional (2D) fast spin echo (FSE) techniques play a central role in the clinical magnetic resonance imaging (MRI) of knee joints. Moreover, three-dimensional (3D) FSE provi…
LAPNet: Non-rigid Registration derived in k-space for Magnetic Resonance Imaging
Thomas Küstner, Jiazhen Pan, Haikun Qi +7
Physiological motion, such as cardiac and respiratory motion, during Magnetic Resonance (MR) image acquisition can cause image artifacts. Motion correction techniques have been pro…
A CURE for noisy magnetic resonance images: Chi-square unbiased risk estimation
Florian Luisier, Thierry Blu, Patrick J. Wolfe
In this article we derive an unbiased expression for the expected mean-squared error associated with continuously differentiable estimators of the noncentrality parameter of a chi-…