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Saiprasad Ravishankar

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction


Apr 11, 2021
Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler

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Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond


Mar 26, 2021
Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar

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Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction


Nov 01, 2020
Xikai Yang, Yong Long, Saiprasad Ravishankar

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* 5 pages, 3 figures, submitted to ISBI2021 
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Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction


Oct 16, 2020
Xikai Yang, Yong Long, Saiprasad Ravishankar

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* 24 pages, 10 figures, submitted journal paper. arXiv admin note: text overlap with arXiv:2005.03825 
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Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration


Jun 24, 2020
Lanqing Guo, Saiprasad Ravishankar, Bihan Wen

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Supervised Learning of Sparsity-Promoting Regularizers for Denoising


Jun 09, 2020
Michael T. McCann, Saiprasad Ravishankar

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Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction


May 08, 2020
Xikai Yang, Xuehang Zheng, Yong Long, Saiprasad Ravishankar

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SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction


Oct 26, 2019
Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar

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* Accepted to International Conference on Computer Vision (ICCV) - Learning for Computational Imaging (LCI) Workshop, 2019 
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Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction


Jun 01, 2019
Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg

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* submitted to IEEE Signal Processing Letters 
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Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning


Apr 04, 2019
Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler

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* Submitted to the Proceedings of the IEEE, Special Issue on Biomedical Imaging & Analysis in the Age of Sparsity, Big Data and Deep Learning 
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Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks


Mar 25, 2019
Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler

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* Submitted to IEEE Signal Processing Magazine, Special Issue on Computational MRI: Compressed Sensing and Beyond 
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DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering


Jan 01, 2019
Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler

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Learning Multi-Layer Transform Models


Oct 19, 2018
Saiprasad Ravishankar, Brendt Wohlberg

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* In Proceedings of the Annual Allerton Conference on Communication, Control, and Computing, 2018 
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Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models


Sep 06, 2018
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler

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* Submitted to IEEE Transactions on Computational Imaging 
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PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction


Jun 01, 2018
Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler

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* Accepted to IEEE Transaction on Medical Imaging 
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Analysis of Fast Structured Dictionary Learning


May 31, 2018
Saiprasad Ravishankar, Anna Ma, Deanna Needell

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Analysis of Fast Alternating Minimization for Structured Dictionary Learning


Feb 01, 2018
Saiprasad Ravishankar, Anna Ma, Deanna Needell

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FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications


Oct 16, 2017
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler

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* Published in Inverse Problems 
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VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising


Oct 03, 2017
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler

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Low Dose CT Image Reconstruction With Learned Sparsifying Transform


Jul 10, 2017
Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler

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* This is a revised and corrected version of the IEEE IVMSP Workshop paper DOI: 10.1109/IVMSPW.2016.7528219 
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Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method


Apr 21, 2017
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler

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* This work is cited by the IEEE Transactions on Computational Imaging Paper arXiv:1511.06333 (DOI: 10.1109/TCI.2017.2697206) 
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Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems


Apr 21, 2017
Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler

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* Accepted to IEEE Transactions on Computational Imaging. This paper also cites experimental results reported in arXiv:1511.08842 
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Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging


Jan 09, 2017
Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler

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Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing


Oct 01, 2016
Saiprasad Ravishankar, Yoram Bresler

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* Appears in IEEE Transactions on Computational Imaging, 2016 
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Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI


Oct 23, 2015
Saiprasad Ravishankar, Yoram Bresler

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* This work has been accepted for publication in the SIAM Journal on Imaging Sciences. It also appears in Saiprasad Ravishankar's PhD thesis, that was deposited with the University of Illinois on December 05, 2014 
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$\ell_0$ Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees


Jan 13, 2015
Saiprasad Ravishankar, Yoram Bresler

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* Accepted to IEEE Transactions on Signal Processing 
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