Venkatakrishnan Singanallur Vaidyanathan R&D Staff Contact VENKATAKRISV@ORNL.GOV All Publications Electron tomography of unirradiated and irradiated nuclear graphite Method for Measurement of TRISO Kernel and Layer Volumes by X-ray Computed Tomography Using a Deep Neural Network and Transfer Learning to Bridge Scales for Seismic Phase Picking Automatic Seismic Phase Picking Using Deep Learning for the EGS Collab project X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR... Convolutional Dictionary Regularizers for Tomographic Inversion Wavelength-resolved Neutron Tomography for Crystalline Materials MBIR: A cryo-ET 3D reconstruction method that effectively minimizes missing wedge artifacts and restores missing information Convolutional neural networks for grazing incidence x-ray scattering patterns: thin film structure identification High fidelity ultrasound imaging of concrete structures DEEP NEURAL NETWORKS FOR NON-LINEAR MODEL-BASED ULTRASOUND RECONSTRUCTION Model-Based Iterative Reconstruction for One-Sided Ultrasonic Nondestructive Evaluation Feasibility Study of Making Metallic Hybrid Materials Using Additive Manufacturing Xi-cam: a versatile interface for data visualization and analysis Anisotropic modeling and joint-MAP stitching for improved ultrasound model-based iterative reconstruction of large and thick ... Ultrasonic Model-Based Iterative Reconstruction with Spatially Variant Regularization for One-Sided Non-Destructive Evaluation Model-based Iterative Reconstruction for Neutron Laminography Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Key Links Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Sensing, Analytics and Communications Section Multimodal Sensor Analytics Group Electrification Section
