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20182026
most citedAlgorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches

20 citations · 31 across the 15 of their papers we have counts for

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Showing 2021Show all

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eess.IV2021★ 20 cited

Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches

S. V. Venkatakrishnan, K. Aditya Mohan, Amir Koushyar Ziabari +1

Multi-scale 3D characterization is widely used by materials scientists to further their understanding of the relationships between microscopic structure and macroscopic function. S…

eess.IV2021

Model-based Reconstruction for Enhanced X-ray CT of Tri-structural Isotropic (TRISO) Particles

Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Philip Bingham +1

Tri-Structural Isotropic (TRISO) fuel particles are a key component of next generation nuclear fuels. Using X-ray computed tomography (CT) to characterize TRISO particles is challe…