Saiprasad Ravishankar

132 papers A* 6B 8Misc 14Journal 81Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Scan-Adaptive MRI Undersampling Using Neighbor-Based Optimization (SUNO). IEEE Trans. Computational Imaging Siddhant Gautam, Angqi Li, Nicole Seiberlich, Jeffrey A. Fessler, Saiprasad Ravishankar
2026	J	`jnl`	Understanding Untrained Deep Models for Inverse Problems [From the Guest Editors]: Algorithms and theory. IEEE Signal Process. Mag. Ismail Alkhouri, Evan Bell, Avrajit Ghosh, Shijun Liang, Rongrong Wang, Saiprasad Ravishankar
2025	J	`jnl`	A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut. CoRR Gabriel Malikal, Ismail Alkhouri, Alvaro Velasquez, Adam M. Alessio, Saiprasad Ravishankar
2025	J	`jnl`	Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction. IEEE Trans. Computational Imaging Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
2025	J	`jnl`	Editorial: High-Dimensional Imaging: Emerging Challenges and Advances in Reconstruction and Restoration. IEEE J. Sel. Top. Signal Process. Zhiyuan Zha, Saiprasad Ravishankar, Chen Zhao, Hassan Mansour, Giuseppe Valenzise, Ce Zhu, Alex C. Kot
2025	J	`jnl`	Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA. CoRR Lanlan Feng, Ce Zhu, Yipeng Liu, Saiprasad Ravishankar, Longxiu Huang
2025	J	`jnl`	Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability. CoRR Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu
2025	A*	`conf`	Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability. ICLR Avrajit Ghosh, Soo Min Kwon, Rongrong Wang, Saiprasad Ravishankar, Qing Qu
2025	—	`conf`	Network-Regularized Diffusion Sampling For 3D Computed Tomography. CAMSAP Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
2025	J	`jnl`	Robust MRI Reconstruction by Smoothed Unrolling (SMUG). IEEE J. Sel. Top. Signal Process. Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia, Ismail R. Alkhouri, Sijia Liu, Saiprasad Ravishankar
2025	A*	`conf`	SITCOM: Step-wise Triple-Consistent Diffusion Sampling For Inverse Problems. ICML Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2025	Misc	`conf`	Sequential Diffusion-Guided Deep Image Prior for Medical Image Reconstruction. ICASSP Shijun Liang, Ismail Alkhouri, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
2025	J	`jnl`	Sparse Methods for Vector Embeddings of TPC Data. CoRR Tyler Wheeler, Michelle P. Kuchera, Raghuram Ramanujan, Ryan Krupp, Chris Wrede, Saiprasad Ravishankar, Connor L. Cross, Hoi Yan Ian Heung, Andrew J. Jones, Benjamin Votaw
2025	—	`conf`	Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction. IEEECONF Evan Bell, Shijun Liang, Ismail Alkhouri, Saiprasad Ravishankar
2025	J	`jnl`	Tada-DIP: Input-adaptive Deep Image Prior for One-shot 3D Image Reconstruction. CoRR Evan Bell, Shijun Liang, Ismail Alkhouri, Saiprasad Ravishankar
2025	J	`jnl`	UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights. CoRR Shijun Liang, Ismail R. Alkhouri, Siddhant Gautam, Qing Qu, Saiprasad Ravishankar
2025	J	`jnl`	Variational Learning Finds Flatter Solutions at the Edge of Stability. CoRR Avrajit Ghosh, Bai Cong, Rio Yokota, Saiprasad Ravishankar, Rongrong Wang, Molei Tao, Mohammad Emtiyaz Khan, Thomas Möllenhoff
2024	J	`jnl`	Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data. IEEE Trans. Computational Imaging Shijun Liang, Anish Lahiri, Saiprasad Ravishankar
2024	J	`jnl`	Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction. CoRR Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
2024	J	`jnl`	Decoupled Data Consistency with Diffusion Purification for Image Restoration. CoRR Xiang Li, Soo Min Kwon, Ismail R. Alkhouri, Saiprasad Ravishankar, Qing Qu
2024	Misc	`conf`	Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. ICASSP Ismail Alkhouri, Shijun Liang, Rongrong Wang, Qing Qu, Saiprasad Ravishankar
2024	A*	`conf`	Image Reconstruction Via Autoencoding Sequential Deep Image Prior. NeurIPS Ismail Alkhouri, Shijun Liang, Evan Bell, Qing Qu, Rongrong Wang, Saiprasad Ravishankar
2024	A*	`conf`	Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. CVPR Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu
2024	J	`jnl`	Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. SIAM J. Imaging Sci. Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2024	J	`jnl`	Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization. CoRR Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2024	A*	`conf`	Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. ICML Avrajit Ghosh, Xitong Zhang, Kenneth K. Sun, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2024	Misc	`conf`	Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering. ICASSP Siddhant Gautam, Angqi Li, Saiprasad Ravishankar
2024	—	`conf`	Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization. IEEECONF Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar
2024	J	`jnl`	Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization. CoRR Shijun Liang, Evan Bell, Avrajit Ghosh, Saiprasad Ravishankar
2024	J	`jnl`	SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems. CoRR Ismail Alkhouri, Shijun Liang, Cheng-Han Huang, Jimmy Dai, Qing Qu, Saiprasad Ravishankar, Rongrong Wang
2023	—	`conf`	Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. ISBI Chong Wang, Rongkai Zhang, Gabriel Maliakal, Saiprasad Ravishankar, Bihan Wen
2023	J	`jnl`	Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. CoRR Ling Chen, Zhishen Huang, Yong Long, Saiprasad Ravishankar
2023	J	`jnl`	Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. CoRR Huijie Zhang, Yifu Lu, Ismail Alkhouri, Saiprasad Ravishankar, Dogyoon Song, Qing Qu
2023	J	`jnl`	Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling. IEEE Signal Process. Mag. Zhiyuan Zha, Bihan Wen, Xin Yuan, Saiprasad Ravishankar, Jiantao Zhou, Ce Zhu
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	J	`jnl`	Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Zhizhen Zhao, Raja Giryes, Jong Chul Ye
2023	—	`conf`	Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements. CAMSAP Xiang Li, Saiprasad Ravishankar, Qing Qu
2023	J	`jnl`	Robust MRI Reconstruction by Smoothed Unrolling (SMUG). CoRR Shijun Liang, Van Hoang Minh Nguyen, Jinghan Jia, Ismail Alkhouri, Sijia Liu, Saiprasad Ravishankar
2023	Misc	`conf`	Robust Self-Guided Deep Image Prior. ICASSP Evan Bell, Shijun Liang, Qing Qu, Saiprasad Ravishankar
2023	Misc	`conf`	SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. ICASSP Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu
2023	J	`jnl`	SMUG: Towards robust MRI reconstruction by smoothed unrolling. CoRR Hui Li, Jinghan Jia, Shijun Liang, Yuguang Yao, Saiprasad Ravishankar, Sijia Liu
2023	J	`jnl`	Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. IEEE Trans. Computational Imaging Anish Lahiri, Gabriel Maliakal, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
2022	J	`jnl`	Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data. CoRR Shijun Liang, Anish Lahiri, Saiprasad Ravishankar
2022	Misc	`conf`	Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). ICASSP Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2022	J	`jnl`	Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration. IEEE Trans. Image Process. Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
2022	—	`conf`	LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data. ISBI Shijun Liang, Ashwin Sreevatsa, Anish Lahiri, Saiprasad Ravishankar
2022	J	`jnl`	Learning Sparsity-Promoting Regularizers using Bilevel Optimization. CoRR Avrajit Ghosh, Michael T. McCann, Madeline Mitchell, Saiprasad Ravishankar
2022	J	`jnl`	Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. CoRR Xikai Yang, Zhishen Huang, Yong Long, Saiprasad Ravishankar
2022	B	`conf`	REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. ICIP Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen
2022	J	`jnl`	REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. CoRR Chong Wang, Rongkai Zhang, Saiprasad Ravishankar, Bihan Wen
2022	J	`jnl`	Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. IEEE Trans. Computational Imaging Zhishen Huang, Saiprasad Ravishankar
2022	J	`jnl`	Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. CoRR Anish Lahiri, Marc Louis Klasky, Jeffrey A. Fessler, Saiprasad Ravishankar
2021	J	`jnl`	Bilevel learning of l1-regularizers with closed-form gradients(BLORC). CoRR Avrajit Ghosh, Michael T. McCann, Saiprasad Ravishankar
2021	J	`jnl`	Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. IEEE Trans. Medical Imaging Anish Lahiri, Guanhua Wang, Saiprasad Ravishankar, Jeffrey A. Fessler
2021	B	`conf`	Labmat: Learned Feature-Domain Block Matching For Image Restoration. ICIP Shijun Liang, Berk Iskender, Bihan Wen, Saiprasad Ravishankar
2021	Misc	`conf`	Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography. ICASSP Kaiyi Yang, Narong Borijindargoon, Boon Poh Ng, Saiprasad Ravishankar, Bihan Wen
2021	J	`jnl`	Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. CoRR Zhishen Huang, Siqi Ye, Michael T. McCann, Saiprasad Ravishankar
2021	J	`jnl`	Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. CoRR Zhishen Huang, Marc Louis Klasky, Trevor Wilcox, Saiprasad Ravishankar
2021	Misc	`conf`	Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. ICASSP Lanqing Guo, Zhiyuan Zha, Saiprasad Ravishankar, Bihan Wen
2021	J	`jnl`	Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI. CoRR Zhishen Huang, Saiprasad Ravishankar
2021	J	`jnl`	Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. IEEE Trans. Medical Imaging Siqi Ye, Zhipeng Li, Michael T. McCann, Yong Long, Saiprasad Ravishankar
2020	J	`jnl`	DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. IEEE Trans. Medical Imaging Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2020	J	`jnl`	Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. Proc. IEEE Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
2020	J	`jnl`	Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction. CoRR Xikai Yang, Xuehang Zheng, Yong Long, Saiprasad Ravishankar
2020	J	`jnl`	Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction. CoRR Xikai Yang, Yong Long, Saiprasad Ravishankar
2020	J	`jnl`	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. IEEE Trans. Computational Imaging Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2020	J	`jnl`	SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models. IEEE Trans. Medical Imaging Siqi Ye, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2020	J	`jnl`	Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. CoRR Lanqing Guo, Saiprasad Ravishankar, Bihan Wen
2020	J	`jnl`	Supervised Learning of Sparsity-Promoting Regularizers for Denoising. CoRR Michael T. McCann, Saiprasad Ravishankar
2020	J	`jnl`	Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
2020	—	`conf`	Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. ISBI Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg
2020	J	`jnl`	Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction. CoRR Xikai Yang, Yong Long, Saiprasad Ravishankar
2019	J	`jnl`	DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. CoRR Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2019	J	`jnl`	Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning. CoRR Saiprasad Ravishankar, Jong Chul Ye, Jeffrey A. Fessler
2019	J	`jnl`	Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. CoRR Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Marc Louis Klasky, Brendt Wohlberg
2019	—	`conf`	SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. ICCV Workshops Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar
2019	J	`jnl`	SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. CoRR Zhipeng Li, Siqi Ye, Yong Long, Saiprasad Ravishankar
2019	J	`jnl`	Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
2019	J	`jnl`	VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2018	Misc	`conf`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. ITA Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Alternating Minimization for Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	J	`jnl`	Analysis of Fast Structured Dictionary Learning. CoRR Saiprasad Ravishankar, Anna Ma, Deanna Needell
2018	—	`conf`	Deep dictionary-transform learning for image reconstruction. ISBI Saiprasad Ravishankar, Anish Lahiri, Cameron Blocker, Jeffrey A. Fessler
2018	—	`conf`	Image-domain material decomposition using data-driven sparsity models for dual-energy CT. ISBI Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2018	—	`conf`	Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. GlobalSIP Zhipeng Li, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2018	—	`conf`	Learning Multi-Layer Transform Models. Allerton Saiprasad Ravishankar, Brendt Wohlberg
2018	J	`jnl`	Learning Multi-Layer Transform Models. CoRR Saiprasad Ravishankar, Brendt Wohlberg
2018	J	`jnl`	Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. CoRR Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2018	J	`jnl`	PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction. IEEE Trans. Medical Imaging Xuehang Zheng, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2017	—	`conf`	Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction. MLSP Siqi Ye, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2017	J	`jnl`	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. IEEE Trans. Computational Imaging Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	Misc	`conf`	Efficient online dictionary adaptation and image reconstruction for dynamic MRI. ACSSC Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	J	`jnl`	Low Dose CT Image Reconstruction With Learned Sparsifying Transform. CoRR Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2017	J	`jnl`	Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. IEEE Trans. Medical Imaging Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2017	B	`conf`	Online data-driven dynamic image restoration using DINO-KAT models. ICIP Brian E. Moore, Saiprasad Ravishankar
2017	Misc	`conf`	Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. ACSSC Saiprasad Ravishankar, Il Yong Chun, Jeffrey A. Fessler
2017	J	`jnl`	VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2016	J	`jnl`	Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. IEEE Trans. Computational Imaging Saiprasad Ravishankar, Yoram Bresler
2016	—	`conf`	Efficient learning of dictionaries with low-rank atoms. GlobalSIP Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	—	`conf`	LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. IVMSP Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	B	`conf`	Learning flipping and rotation invariant sparsifying transforms. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2016	—	`conf`	Low dose CT image reconstruction with learned sparsifying transform. IVMSP Xuehang Zheng, Zening Lu, Saiprasad Ravishankar, Yong Long, Jeffrey A. Fessler
2016	J	`jnl`	Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. CoRR Saiprasad Ravishankar, Brian E. Moore, Raj Rao Nadakuditi, Jeffrey A. Fessler
2016	—	`conf`	Sum of outer products dictionary learning for inverse problems. GlobalSIP Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	J	`jnl`	Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging. SIAM J. Imaging Sci. Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method. CoRR Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	J	`jnl`	Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). CoRR Saiprasad Ravishankar, Raj Rao Nadakuditi, Jeffrey A. Fessler
2015	J	`jnl`	FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR Bihan Wen, Yoram Bresler, Saiprasad Ravishankar
2015	J	`jnl`	Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
2015	J	`jnl`	Online Sparsifying Transform Learning - Part II: Convergence Analysis. IEEE J. Sel. Top. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2015	B	`conf`	Video denoising by online 3D sparsifying transform learning. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	ℓ CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	ℓ IEEE Trans. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2014	—	`—`	Adaptive sparse representations and their applications Saiprasad Ravishankar
2014	Misc	`conf`	Doubly sparse transform learning with convergence guarantees. ICASSP Saiprasad Ravishankar, Yoram Bresler
2014	B	`conf`	Learning overcomplete sparsifying transforms with block cosparsity. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2014	—	`conf`	Online sparsifying transform learning for signal processing. GlobalSIP Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
2013	Misc	`conf`	Closed-form solutions within sparsifying transform learning. ICASSP Saiprasad Ravishankar, Yoram Bresler
2013	J	`jnl`	Learning Doubly Sparse Transforms for Images. IEEE Trans. Image Process. Saiprasad Ravishankar, Yoram Bresler
2013	J	`jnl`	Learning Sparsifying Transforms. IEEE Trans. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2013	Misc	`conf`	Learning overcomplete sparsifying transforms for signal processing. ICASSP Saiprasad Ravishankar, Yoram Bresler
2013	—	`conf`	Sparsifying transform learning for Compressed Sensing MRI. ISBI Saiprasad Ravishankar, Yoram Bresler
2012	B	`conf`	Learning doubly sparse transforms for image representation. ICIP Saiprasad Ravishankar, Yoram Bresler
2012	B	`conf`	Learning sparsifying transforms for image processing. ICIP Saiprasad Ravishankar, Yoram Bresler
2011	—	`conf`	Adaptive sampling design for compressed sensing MRI. EMBC Saiprasad Ravishankar, Yoram Bresler
2011	—	`conf`	Highly undersampled MRI using adaptive sparse representations. ISBI Saiprasad Ravishankar, Yoram Bresler
2011	J	`jnl`	MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. IEEE Trans. Medical Imaging Saiprasad Ravishankar, Yoram Bresler
2009	A*	`conf`	Automated feature extraction for early detection of diabetic retinopathy in fundus images. CVPR Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
2008	—	`conf`	Multi-stage Contour Based Detection of Deformable Objects. ECCV (1) Saiprasad Ravishankar, Arpit Jain, Anurag Mittal