Subspace Modeling Enabled High-Sensitivity X-Ray Chemical Imaging
Author:
Affiliation:
1. Stanford University,SLAC National Accelerator Laboratory
2. Max-Planck-Institut für Informatik
Funder
City University of Hong Kong
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10094976.pdf?arnumber=10094976
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1. SIMBA: Scalable Inversion in Optical Tomography Using Deep Denoising Priors
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1. Deep Learning for Spectroscopic X‐ray Nano‐Imaging Denoising;Advanced Intelligent Systems;2024-06-19
2. Implicit Regression in Subspace for High-Sensitivity CEST Imaging;2024 IEEE International Symposium on Biomedical Imaging (ISBI);2024-05-27
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