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ORCID19th Computational Imaging 2021: Burlingame, California, USA
- Charles A. Bouman, Gregery T. Buzzard, Robert L. Stevenson:
Computational Imaging XIX, Virtual Event, 11-28 January 2021. Society for Imaging Science and Technology 2021 - Nilesh Pandey, Andreas E. Savakis:
Extreme Face Inpainting with Sketch-Guided Conditional GAN. - Henry G. Dietz:
Mask Recognition in the Covered Safe Entry Scanner. - Moritz Siegel, Lukas Traxler
, Laurin Ginner:
Robustness of Fourier Ptychographic Imaging to Variation of System Parameters. - Canberk Ekmekci, Müjdat Çetin:
Model-Based Bayesian Deep Learning Architecture for Linear Inverse Problems in Computational Imaging. - Meredith K. Kupinski, Lisa Li:
Evaluating the Utility of Mueller Matrix Imaging for Diffuse Material Classification. - Khalid Omer, Luca Caucci, Meredith K. Kupinski:
Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of Network. - Sandamali Devadithya, David Castañón:
Enhanced Material Estimation with Multi-Spectral CT. - David S. Helminiak, Hang Hu, Julia Laskin, Dong Hye Ye:
Deep Learning Approach for Dynamic Sparse Sampling for High-Throughput Mass Spectrometry Imaging. - Zeeshan Nadir, Kristin M. Rice, Michael S. Brown, Charles A. Bouman:
Testing the Goodness of Model Fit in Tunable Diode Laser Absorption Tomography. - Tao Ge, Rui Liao, David G. Politte, Maria Medrano, Jeffrey F. Williamson, Bruce R. Whiting, Tianyu Zhao, Joseph A. O'Sullivan:
Reducing motion artifact in sequential-scan dual-energy CT imaging by incorporating deformable registration within joint statistical image reconstruction.
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