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Your search keyword '"Kingston, Andrew"' showing total 667 results

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2. Deep Learning in Classical X-ray Ghost Imaging for Dose Reduction

3. High-resolution x-ray scanning with a diffuse, Huffman-patterned probe to minimise radiation damage

7. Fractal Compressive Sensing

8. Synchrotron-based X-ray Fluorescence Ghost Imaging

11. Universal mask for hard X rays

12. Optimizing illumination patterns for classical ghost imaging

14. Ghost projection. II. Beam shaping using realistic spatially-random masks

19. Worldwide trends in underweight and obesity from 1990 to 2022: a pooled analysis of 3663 population-representative studies with 222 million children, adolescents, and adults

21. Rapidly-converging multigrid reconstruction of cone-beam tomographic data

22. On the Inherent Dose-Reduction Potential of Classical Ghost Imaging

23. Neutron Ghost Imaging

28. Ghost Tomography

29. X-ray ghost tomography: denoising, dose fractionation and mask considerations

30. A meta-analysis of genome-wide association studies identifies multiple longevity genes.

38. The course of disability in the very old : drivers and trajectories

42. Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes

45. Recovering Missing Slices of the Discrete Fourier Transform using Ghosts

46. Fast Mojette Transform for Discrete Tomography

47. Synchrotron-based x ray fluorescence ghost imaging

48. Supplementary material 1 from: Scheffer G, Rattray J, Kingston A, Li C, Ardakani OH, Hubert CR.J (2023) The provenance of microorganisms adapted to extreme salinity, extreme temperature, and toxic metals within the Montney shale formation. ARPHA Conference Abstracts 6: e108166. https://doi.org/10.3897/aca.6.e108166

50. Figure 1 from: Scheffer G, Rattray J, Kingston A, Li C, Ardakani OH, Hubert CR.J (2023) The provenance of microorganisms adapted to extreme salinity, extreme temperature, and toxic metals within the Montney shale formation. ARPHA Conference Abstracts 6: e108166. https://doi.org/10.3897/aca.6.e108166

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