Neural Networks for Dose Reduced Reconstruction Image Denoising in Neutron Tomography
Source abstract
Abstract
MC Daugherty, JM LaManna, Y Kim, E Baltic, DS Hussey, DL Jacobson; Neural Networks for Dose Reduced Reconstruction Image Denoising in Neutron Tomography, M
Only a short abstract or summary was supplied by the source.
Source: openalex_inverted_index · Quality: short
Research context
OpenAlex topics: Nuclear Physics and Applications · Medical Imaging Techniques and Applications · Advanced X-ray and CT Imaging
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
National Institute of Standards and Technology Physical Measurement Laboratory, , Gaithersburg, MD, USA
University of Maryland Department of Chemical and Biomolecular Engineering, , College Park, MD, USA
University of Maryland Department of Chemistry and Biochemistry, , College Park, MD, USA
References (5)
Show source-provided references
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2. Low-Dose CT with a residual encoder-decoder convolutional neural network10.1109/TMI.2017.2715284 ↗
3. Ledig · Photo-realistic single image super-resolution using a generative adversarial network · 2017
4. High quality imaging from sparsely sampled computed tomography data with deep learning and wavelet transform in various domains10.1002/mp.13258 ↗
5. Superior techniques for eliminating ring artifacts in X-ray micro-tomography10.1364/OE.26.028396 ↗