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Prediction of Rotator Cuff Muscle Fibre Orientations Using a Population-Averaged Atlas Generated With Anatomical and Diffusion-Weighted Magnetic Resonance Images. [PDF]

NMR Biomed
Zhang Y, Lloyd R, Herbert RD, Bilston LE, Bolsterlee B.   +4 more
europepmc   +1 more source

Early Prediction of Cardiac Arrest in the Intensive Care Unit Using Explainable Machine Learning: Retrospective Study.

J Med Internet Res
Kim YK, Seo WD, Lee SJ, Koo JH, Kim GC, Song HS, Lee M.   +6 more
europepmc   +1 more source

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-NONUNIFORM MULTIRESOLUTION ANALYSIS

Journal of the Australian Mathematical Society, 2021
AbstractGabardo and Nashed [‘Nonuniform multiresolution analyses and spectral pairs’, J. Funct. Anal.158(1) (1998), 209–241] have introduced the concept of nonuniform multiresolution analysis (NUMRA), based on the theory of spectral pairs, in which the associated translated set $\Lambda =\{0,{r}/{N}\}+2\mathbb Z$ is not necessarily a discrete ...
S. PITCHAI MURUGAN, G. P. YOUVARAJ
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Discrete Periodic Multiresolution Analysis

Journal of Mathematical Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Multiresolution Fourier Descriptors for Multiresolution Shape Analysis

IEEE Signal Processing Letters, 2012
Complex shapes can be effectively analyzed by multiresolution shape descriptors. Compared with wavelet descriptors that are widely used for multiresolution analysis, Fourier descriptors have better invariance properties and higher computational efficiency.
null Yanjun Zhao, S. Belkasim
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Radiometric multiresolution analysis

WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000, 2002
A new concept, radiometric multiresolution analysis (RMA) is proposed. An algorithm for computing the RMA is presented. It is, analytically and experimentally, shown that the RMA is a useful tool to analyze the model images with multiplicative correlated noise, which provide a new method to filter or restore this white noise-like signal, such as an SAR
null Hong Sun, H. Maitre
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Multiresolution Analysis

2008
Multiresolution analysis has received considerable attention in recent years by researchers in the fields of computer graphics, geometric modeling and visualization. They are now considered a powerful tool for efficiently representing functions at multiple levels-of-detail with many inherent advantages, including compression, Level-Of-Details (LOD ...
Bonneau, Georges-Pierre, Elber, Gershon, Hahmann, Stefanie, Sauvage, Basile   +3 more
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Oblique multiresolution analysis

Proceedings of IEEE-SP International Symposium on Time- Frequency and Time-Scale Analysis, 2002
We present a new type of multiresolution, called oblique multiresolution (OMR), necessary in the decision context. All the fundamental properties of OMR are given and justified. The aim is to develop a multiresolution analysis which provide a redundant decomposition for use in the detection and classification application.
Z. Tira, P. Duvaut, P. Brunel, B. Georgel   +3 more
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Logarithmic multiresolution analysis

2015 IEEE International Conference on Image Processing (ICIP), 2015
Recently, a logarithmic image processing model called Symmetric Logarithmic Image Processing (S-LIP) has been investigated in the framework of the multiresolution analysis (MRA) performed by wavelet transform. The S-LIP model is an extension of the Logarithmic Image Processing (LIP) model.
Laurent Navarro, Michel Jourlin, Guy Courbebaisse   +2 more
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