1 citations · 2 across the 3 of their papers we have counts for
6 papers
Model-based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems
Abdulrahman M. Alanazi, Singanallur Venkatakrishnan, Hector Santos-Villalobos +2
Collimated beam ultrasound systems are a technology for imaging inside multi-layered structures such as geothermal wells. These systems work by using a collimated narrow-band ultra…
Model-Based Reconstruction for Collimated Beam Ultrasound Systems
Abdulrahman Alanazi, Singanallur Venkatakrishnan, Hector Santos-Villalobos +2
Collimated beam ultrasound systems are a novel technology for imaging inside multi-layered structures such as geothermal wells. Such systems include a transmitter and multiple rece…
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…
Convolutional Dictionary Regularizers for Tomographic Inversion
Singanallur Venkatakrishnan, Brendt Wohlberg
There has been a growing interest in the use of data-driven regularizers to solve inverse problems associated with computational imaging systems. The convolutional sparse represent…
Model-Based Iterative Reconstruction for One-Sided Ultrasonic Non-Destructive Evaluation
Hani Almansouri, Singanallur Venkatakrishnan, Charles Bouman +1
One-sided ultrasonic non-destructive evaluation (UNDE) is extensively used to characterize structures that need to be inspected and maintained from defects and flaws that could aff…
Deep neural networks for non-linear model-based ultrasound reconstruction
Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard +2
Ultrasound reflection tomography is widely used to image large complex specimens that are only accessible from a single side, such as well systems and nuclear power plant containme…