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20172026
most citedSLADS-Net: Supervised Learning Approach for Dynamic Sampling using Deep Neural Networks

6 citations · 8 across the 4 of their papers we have counts for

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Showing 2017Show all

2 papers · 1 filter

cs.LG2017

Reduced Electron Exposure for Energy-Dispersive Spectroscopy using Dynamic Sampling

Yan Zhang, G. M. Dilshan Godaliyadda, Nicola Ferrier +3

Analytical electron microscopy and spectroscopy of biological specimens, polymers, and other beam sensitive materials has been a challenging area due to irradiation damage. There i…

cs.CV2017★ 2 cited

A Framework for Dynamic Image Sampling Based on Supervised Learning (SLADS)

G. M. Dilshan P. Godaliyadda, Dong Hye Ye, Michael D. Uchic +3

Sparse sampling schemes have the potential to dramatically reduce image acquisition time while simultaneously reducing radiation damage to samples. However, for a sparse sampling s…