Anisotropic Data Processing
Anisotropic Data Processing is a computational methodology that specifically addresses and leverages directional dependencies in data by applying non-uniform transformations or analyses to capture orientation-sensitive patterns that vary across spatial or feature dimensions.
36
Publications
1.4K
Citations
137
Authors
63
Institutions
Publications per year
2017–2026
6
Parents
36
Unequivocal determination of complex molecular structures using anisotropic NMR measurements
Yizhou Liu, Josep Saurí, Emily Mevers et al. · Science · 2017 · 162 citations · Full text
Nonseparable Shearlet Transform
Wang‐Q Lim · IEEE Transactions on Image Processing · 2013 · 110 citations
Adaptive anisotropic noise filtering for magnitude MR data
Jan Sijbers, Arnold J. den Dekker, Annemie Van der Linden et al. · Magnetic Resonance Imaging · 1999 · 70 citations
1–5 of 36
137
2 publications · 67 citations
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2 publications · 67 citations
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2 publications · 67 citations
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2
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1–5 of 137
63

Centre National de la Recherche Scientifique
Paris, France
3 h-index
5 publications
97 citations

Johns Hopkins University
Baltimore, United States
3 h-index
8 publications
294 citations

Sorbonne Université
Paris, France
2 h-index
3 publications
55 citations
Harvard University
Cambridge, United States
2 h-index
4 publications
420 citations

Technische Universität Darmstadt
Darmstadt, Germany
2 h-index
4 publications
104 citations
Universidad de Valladolid
Valladolid, Spain
1 h-index
2 publications
96 citations

Institute for Atomic and Molecular Physics
Amsterdam, The Netherlands
1 h-index
1 publications
162 citations
University of Antwerp
Antwerp, Belgium
1 h-index
5 publications
350 citations
1–8 of 63
CAGEO · 3 publications · 59 citations
3
h-index
3 publications · 67 citations
3
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2 publications · 118 citations
2
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2 publications · 432 citations
2
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TOG · 1 publications · 20 citations
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