Richard K. Archibald, Ph.D.
Affiliations: | 2002 | Arizona State University, Tempe, AZ, United States |
Area:
MathematicsGoogle:
"Richard Archibald"Parents
Sign in to add mentor| Anne Gelb | grad student | 2002 | Arizona State | |
| (Boundary detection and reconstruction in magnetic resonance imaging.) | ||||
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Publications
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| Archibald RK, Doucet M, Johnston T, et al. (2020) Classifying and analyzing small-angle scattering data using weighted k nearest neighbors machine learning techniques Journal of Applied Crystallography. 53: 326-334 |
| Nobakht AY, Dyck O, Lingerfelt DB, et al. (2020) Reconstruction of effective potential from statistical analysis of dynamic trajectories Aip Advances. 10: 65034 |
| Churchill V, Archibald R, Gelb A. (2019) Edge-adaptive \begin{document}$ \ell_2 $\end{document} regularization image reconstruction from non-uniform Fourier data Inverse Problems and Imaging. 13: 931-958 |
| Evans KJ, Archibald RK, Gardner DJ, et al. (2019) Performance analysis of fully explicit and fully implicit solvers within a spectral element shallow-water atmosphere model: International Journal of High Performance Computing Applications. 33: 268-284 |
| Islam F, Lin JYY, Archibald R, et al. (2019) Super-resolution energy spectra from neutron direct-geometry spectrometers Review of Scientific Instruments. 90: 105109 |
| Shang R, Archibald R, Gelb A, et al. (2018) Sparsity-based photoacoustic image reconstruction with a linear array transducer and direct measurement of the forward model. Journal of Biomedical Optics. 24: 1-9 |
| Sullivan B, Archibald R, Langan PS, et al. (2018) Improving the accuracy and resolution of neutron crystallographic data by three-dimensional profile fitting of Bragg peaks in reciprocal space. Acta Crystallographica. Section D, Structural Biology. 74: 1085-1095 |
| Barnard RC, Bilheux H, Toops T, et al. (2018) Total variation-based neutron computed tomography. The Review of Scientific Instruments. 89: 053704 |
| Somnath S, Law KJH, Morozovska AN, et al. (2018) Ultrafast current imaging by Bayesian inversion. Nature Communications. 9: 513 |
| Bao F, Archibald R, Niedziela J, et al. (2016) Complex optimization for big computational and experimental neutron datasets. Nanotechnology. 27: 484002 |