S. V. Venkatakrishnan

According to our database, S. V. Venkatakrishnan authored at least 37 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Adaptive sampling for accelerating neutron diffraction-based strain mapping ^*.

S. V. Venkatakrishnan, Chris M. Fancher, Maxim A. Ziatdinov, Rama K. Vasudevan, Kyle Saleeby, James Haley, Dunji Yu, Ke An, Alex Plotkowski

Mach. Learn. Sci. Technol., June, 2023

Model-Based Reconstruction for Multi-Frequency Collimated Beam Ultrasound Systems.

Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Hector J. Santos-Villalobos, Gregery T. Buzzard, Charles A. Bouman

IEEE Trans. Computational Imaging, 2023

Deep Learning Based Workflow for Accelerated Industrial X-Ray Computed Tomography.

Obaidullah Rahman, Singanallur V. Venkatakrishnan, Luke Scime, Paul Brackman, Curtis Frederick, Ryan Dehoff, Vincent C. Paquit, Amirkoushyar Ziabari

Proceedings of the IEEE International Conference on Image Processing, 2023

Autonomous Polycrystalline Material Decomposition For Hyperspectral Neutron Tomography.

Mohammad Samin Nur Chowdhury, Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman

Proceedings of the IEEE International Conference on Image Processing, 2023

Ringing Artifact Reduction Method for Ultrasound Reconstruction Using Multi-Agent Consensus Equilibrium.

Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman

Proceedings of the IEEE International Conference on Image Processing, 2023

An Edge Alignment-Based Orientation Selection Method for Neutron Tomography.

Diyu Yang, Shimin Tang, Singanallur V. Venkatakrishnan, Mohammad Samin Nur Chowdhury, Yuxuan Zhang, Hassina Z. Bilheux, Gregery T. Buzzard, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2023

Physics guided machine learning for multi-material decomposition of tissues from dual-energy CT scans of simulated breast models with calcifications.

Muralikrishnan Gopalakrishnan Meena, Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Isaac Lyngaas, Matthew R. Norman, Bálint Joó, Thomas L. Beck, Charles A. Bouman, Anuj J. Kapadia, Xiao Wang

Proceedings of the High Performance Computing for Imaging 2023, 2023

2022

Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches.

S. V. Venkatakrishnan, K. Aditya Mohan, Amirkoushyar Ziabari, Charles A. Bouman

IEEE Signal Process. Mag., 2022

Simurgh: A Framework for Cad-Driven Deep Learning Based X-Ray CT Reconstruction.

Amirkoushyar Ziabari, Singanallur V. Venkatakrishnan, Abhishek Dubey, Alex Lisovich, Paul Brackman, Curtis Frederick, Pradeep Bhattad, Philip R. Bingham, Alex Plotkowski, Ryan Dehoff, Vincent C. Paquit

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Model-Based Reconstruction for Collimated Beam Ultrasound Systems.

Abdulrahman M. Alanazi, Singanallur V. Venkatakrishnan, Hector J. Santos-Villalobos, Gregery T. Buzzard, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Convolutional neural network based non-iterative reconstruction for accelerating neutron tomography.

Singanallur V. Venkatakrishnan, Amirkoushyar Ziabari, Jacob D. Hinkle, Andrew W. Needham, Jeffrey M. Warren, Hassina Z. Bilheux

Mach. Learn. Sci. Technol., 2021

Improved Acquisition and Reconstruction for Wavelength-Resolved Neutron Tomography.

Singanallur V. Venkatakrishnan, Yuxuan Zhang, Luc Dessieux, Christina Hoffmann, Philip R. Bingham, Hassina Z. Bilheux

J. Imaging, 2021

2020

Model-based Reconstruction for Single Particle Cryo-Electron Microscopy.

S. V. Venkatakrishnan, Puneet Juneja, Hugh O'Neill

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019

Model-Based Iterative Reconstruction for One-Sided Ultrasonic Nondestructive Evaluation.

Hani Almansouri, Singanallur V. Venkatakrishnan, Charles A. Bouman, Hector J. Santos-Villalobos

IEEE Trans. Computational Imaging, 2019

X-Ray CT Reconstruction of Additively Manufactured Parts using 2.5D Deep Learning MBIR.

Amirkoushyar Ziabari, Michael Kirka, Vincent C. Paquit, Philip R. Bingham, Singanallur V. Venkatakrishnan

CoRR, 2019

Convolutional Dictionary Regularizers for Tomographic Inversion.

S. V. Venkatakrishnan, Brendt Wohlberg

Proceedings of the IEEE International Conference on Acoustics, 2019

Wavelength-resolved Neutron Tomography for Crystalline Materials.

S. V. Venkatakrishnan, Luc Dessieux, Philip R. Bingham

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Deep Neural Networks for Non-Linear Model-Based Ultrasound Reconstruction.

Hani Almansouri, S. V. Venkatakrishnan, Gregery T. Buzzard, Charles A. Bouman, Hector J. Santos-Villalobos

Proceedings of the 2018 IEEE Global Conference on Signal and Information Processing, 2018

Ultrasonic Model-Based Iterative Reconstruction with Spatially Variant Regularization for One-Sided Non-Destructive Evaluation.

Hani Almansouri, Singanallur V. Venkatakrishnan, Dwight Clayton, Yarom Polsky, Charles A. Bouman, Hector J. Santos-Villalobos

Proceedings of the Computational Imaging XVI, Burlingame, 2018

2017

Multi-Resolution Data Fusion for Super-Resolution Electron Microscopy.

Suhas Sreehari, S. V. Venkatakrishnan, Katherine L. Bouman, Jeffrey P. Simmons, Lawrence F. Drummy, Charles A. Bouman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Model-based iterative reconstruction for neutron laminography.

S. V. Venkatakrishnan, Ercan Cakmak, Hassina Z. Bilheux, Philip R. Bingham, Richard K. Archibald

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016

EMBIRA: An Accelerator for Model-Based Iterative Reconstruction.

Junshi Liu, Swagath Venkataramani, Singanallur V. Venkatakrishnan, Yun Pan, Charles A. Bouman, Anand Raghunathan

IEEE Trans. Very Large Scale Integr. Syst., 2016

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation.

Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Gregery T. Buzzard, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman

IEEE Trans. Computational Imaging, 2016

Robust X-Ray Phase Ptycho-Tomography.

Singanallur V. Venkatakrishnan, Maryam Farmand, Young-Sang Yu, Hasti Majidi, Klaus van Benthem, Stefano Marchesini, David A. Shapiro, Alexander Hexemer

IEEE Signal Process. Lett., 2016

Making Advanced Scientific Algorithms and Big Scientific Data Management More Accessible.

S. V. Venkatakrishnan, K. Aditya Mohan, Keith Beattie, Joaquin Correa, Eli Dart, Jack Deslippe, Alexander Hexemer, Harinarayan Krishnan, Alastair A. MacDowell, Stefano Marchesini, Simon J. Patton, Talita Perciano, James A. Sethian, Rune Stromsness, Brian L. Tierney, Craig E. Tull, Daniela Ushizima, Dilworth Y. Parkinson

Proceedings of the Computational Imaging XIV, San Francisco, 2016

Convolutional neural networks at the interface of physical and digital data.

Daniela Ushizima, Chao Yang, Singanallur V. Venkatakrishnan, Flávio H. D. Araújo, Romuere Rôdrigues Veloso e Silva, Haoran Tang, Joao Vitor Mascarenhas, Alexander Hexemer, Dilworth Parkinson, James A. Sethian

Proceedings of the 2016 IEEE Applied Imagery Pattern Recognition Workshop, 2016

2015

Model-Based Iterative Reconstruction for Bright-Field Electron Tomography.

S. V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman

IEEE Trans. Computational Imaging, 2015

TIMBIR: A Method for Time-Space Reconstruction From Interlaced Views.

K. Aditya Mohan, S. V. Venkatakrishnan, John W. Gibbs, Emine Begum Gulsoy, Xianghui Xiao, Marc De Graef, Peter W. Voorhees, Charles A. Bouman

IEEE Trans. Computational Imaging, 2015

Plug-and-Play Priors for Bright Field Electron Tomography and Sparse Interpolation.

Suhas Sreehari, S. V. Venkatakrishnan, Brendt Wohlberg, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman

CoRR, 2015

Rotationally-invariant non-local means for image denoising and tomography.

Suhas Sreehari, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeff P. Simmons, Charles A. Bouman

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

4D model-based iterative reconstruction from interlaced views.

K. Aditya Mohan, S. V. Venkatakrishnan, John W. Gibbs, Emine Begum Gulsoy, Xianghui Xiao, Marc De Graef, Peter W. Voorhees, Charles A. Bouman

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Advanced prior modeling for 3D bright field electron tomography.

Suhas Sreehari, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeffrey P. Simmons, Charles A. Bouman

Proceedings of the Computational Imaging XIII, 2015

2014

Model-based iterative reconstruction for synchrotron X-ray tomography.

K. Aditya Mohan, S. V. Venkatakrishnan, Lawrence F. Drummy, Jeff P. Simmons, Dilworth Y. Parkinson, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A Model Based Iterative Reconstruction Algorithm For High Angle Annular Dark Field-Scanning Transmission Electron Microscope (HAADF-STEM) Tomography.

S. V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman

IEEE Trans. Image Process., 2013

Plug-and-Play priors for model based reconstruction.

Singanallur V. Venkatakrishnan, Charles A. Bouman, Brendt Wohlberg

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Model based iterative reconstruction for Bright Field electron tomography.

Singanallur V. Venkatakrishnan, Lawrence F. Drummy, Marc De Graef, Jeff P. Simmons, Charles A. Bouman

Proceedings of the Computational Imaging XI, 2013

2012

Bayesian tomographic reconstruction for high angle annular dark field (HAADF) scanning transmission electron microscopy (STEM).

Singanallur V. Venkatakrishnan, Lawrence F. Drummy, Michael A. Jackson, Marc De Graef, Jeff P. Simmons, Charles A. Bouman

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012