Singanallur V Venkatakrishnan R&D Staff Contact 865.576.8833 | venkatakrisv@ornl.gov All Publications A Learnt Half-Quadratic Splitting-Based Algorithm for Fast and High-Quality Industrial Cone-beam CT Reconstruction Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins A machine learning decision criterion for reducing scan time for hyperspectral neutron computed tomography systems Neural network-based single material beam-hardening correction for X-ray CT in Additive Manufacturing Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography Reducing Artifacts in BF and HAADF-STEM Images of Pt/C Fuel Cells using MBIR-ARAR An Edge Alignment-Based Orientation Selection Method for Neutron Tomography Enabling rapid X-ray CT characterisation for additive manufacturing using CAD models and deep learning-based reconstruction Validating the Use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields Adaptive sampling for accelerating neutron diffraction-based strain mapping* Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications What does it take to “see” air leakage through a building envelope?... Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction Application of reference-free natural background–oriented schlieren photography for visualizing leakage sites in building walls High Throughput Deep Learning-Based X-ray CT Characterization for Process Optimization in Metal Additive Manufacturing Model-Based Reconstruction for Collimated Beam Ultrasound Systems Model-based reconstruction for enhanced x-ray CT of dense tri-structural isotropic particles Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches High Resolution X-Ray CT Reconstruction of Additively Manufactured Metal Parts using Generative Adversarial Network-based Domain Adaptation in AI-CT Convolutional Neural Network Based Non-Iterative Reconstruction for Accelerating NeutronTomography Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography * Improved Acquisition and Reconstruction for Wavelength-Resolved Neutron Tomography Electron tomography of unirradiated and irradiated nuclear graphite Beam Hardening Artifact Reduction in X-Ray CT Reconstruction of 3D Printed Metal Parts Leveraging Deep Learning and CAD Model... Model-based Reconstruction for Single Particle Cryo-Electron Microscopy Pagination Current page 1 Page 2 Next page ›› Last page Last » Key Links ORCID Organizations Energy Science and Technology Directorate Electrification and Energy Infrastructures Division Energy Sensing, Analytics and Communications Section Multimodal Sensor Analytics Group Electrification Section
