Image Reconstruction Algorithms
Image Reconstruction Algorithms is a computational methodology that belongs to the class of image processing techniques and is distinguished by its ability to recover high-fidelity spatial and spectral information from undersampled, noisy, or otherwise degraded measurement data in nonlinear and super-resolution optical microscopy, particularly within the near-infrared regime, through the application of mathematical models and iterative optimization strategies.
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GATE: a simulation toolkit for PET and SPECT
S Jan, G. Santin, D. Strul et al. · Physics in Medicine and Biology · 2004 · 2.1K citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
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198 publications
33.5K citations
Stanford University
Stanford, United States
34 h-index
150 publications
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Chinese Academy of Sciences
Beijing, China
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198 publications
14.5K citations
University of Michigan
Ann Arbor, United States
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117 publications
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Washington University in St. Louis
St Louis, United States
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90 publications
7.1K citations
Tsinghua University
Beijing, China
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224 publications
12K citations
University of Chicago
Chicago, United States
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University of California, Los Angeles
Los Angeles, United States
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