Multi-stage Contour Based Detection of Deformable Objects. - Saiprasad Ravishankar; Arpit Jain; Anurag Mittal (ECCV (1), 2008)

Automated feature extraction for early detection of diabetic retinopathy in fundus images. - Saiprasad Ravishankar; Arpit Jain; Anurag Mittal (CVPR, 2009)

Adaptive sampling design for compressed sensing MRI. - Saiprasad Ravishankar; Yoram Bresler (EMBC, 2011)

Highly undersampled MRI using adaptive sparse representations. - Saiprasad Ravishankar; Yoram Bresler (ISBI, 2011)

MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. - Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Medical Imaging, 2011)

Learning sparsifying transforms for image processing. - Saiprasad Ravishankar; Yoram Bresler (ICIP, 2012)

Learning doubly sparse transforms for image representation. - Saiprasad Ravishankar; Yoram Bresler (ICIP, 2012)

Learning overcomplete sparsifying transforms for signal processing. - Saiprasad Ravishankar; Yoram Bresler (ICASSP, 2013)

Closed-form solutions within sparsifying transform learning. - Saiprasad Ravishankar; Yoram Bresler (ICASSP, 2013)

Sparsifying transform learning for Compressed Sensing MRI. - Saiprasad Ravishankar; Yoram Bresler (ISBI, 2013)

Learning Doubly Sparse Transforms for Images. - Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Image Process., 2013)

Learning Sparsifying Transforms. - Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Signal Process., 2013)

Online sparsifying transform learning for signal processing. - Saiprasad Ravishankar; Bihan Wen; Yoram Bresler (GlobalSIP, 2014)

Doubly sparse transform learning with convergence guarantees. - Saiprasad Ravishankar; Yoram Bresler (ICASSP, 2014)

Learning overcomplete sparsifying transforms with block cosparsity. - Bihan Wen; Saiprasad Ravishankar; Yoram Bresler (ICIP, 2014)

Adaptive sparse representations and their applications - Saiprasad Ravishankar (2014)

Video denoising by online 3D sparsifying transform learning. - Bihan Wen; Saiprasad Ravishankar; Yoram Bresler (ICIP, 2015)

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. - Saiprasad Ravishankar; Yoram Bresler (CoRR, 2015)

Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL). - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (CoRR, 2015)

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $ ell_0$ Method. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (CoRR, 2015)

FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. - Bihan Wen; Yoram Bresler; Saiprasad Ravishankar (CoRR, 2015)

Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. - Bihan Wen; Saiprasad Ravishankar; Yoram Bresler (Int. J. Comput. Vis., 2015)

Online Sparsifying Transform Learning - Part II: Convergence Analysis. - Saiprasad Ravishankar; Yoram Bresler (IEEE J. Sel. Top. Signal Process., 2015)

Online Sparsifying Transform Learning - Part I: Algorithms. - Saiprasad Ravishankar; Bihan Wen; Yoram Bresler (IEEE J. Sel. Top. Signal Process., 2015)

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging. - Saiprasad Ravishankar; Yoram Bresler (SIAM J. Imaging Sci., 2015)

ℓ0 Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees. - Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Signal Process., 2015)

Efficient learning of dictionaries with low-rank atoms. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (GlobalSIP, 2016)

Sum of outer products dictionary learning for inverse problems. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (GlobalSIP, 2016)

Learning flipping and rotation invariant sparsifying transforms. - Bihan Wen; Saiprasad Ravishankar; Yoram Bresler (ICIP, 2016)

LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (IVMSP, 2016)

Low dose CT image reconstruction with learned sparsifying transform. - Xuehang Zheng; Zening Lu; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (IVMSP, 2016)

Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. - Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Computational Imaging, 2016)

Physics-driven deep training of dictionary-based algorithms for MR image reconstruction. - Saiprasad Ravishankar; Il Yong Chun; Jeffrey A. Fessler (ACSSC, 2017)

Efficient online dictionary adaptation and image reconstruction for dynamic MRI. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (ACSSC, 2017)

Online data-driven dynamic image restoration using DINO-KAT models. - Brian E. Moore; Saiprasad Ravishankar (ICIP, 2017)

Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction. - Siqi Ye; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (MLSP, 2017)

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems. - Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2017)

Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging. - Saiprasad Ravishankar; Brian E. Moore; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2017)

Learning Multi-Layer Transform Models. - Saiprasad Ravishankar; Brendt Wohlberg (Allerton, 2018)

Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (GlobalSIP, 2018)

Image-domain material decomposition using data-driven sparsity models for dual-energy CT. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (ISBI, 2018)

Deep dictionary-transform learning for image reconstruction. - Saiprasad Ravishankar; Anish Lahiri; Cameron Blocker; Jeffrey A. Fessler (ISBI, 2018)

Analysis of Fast Alternating Minimization for Structured Dictionary Learning. - Saiprasad Ravishankar; Anna Ma; Deanna Needell (ITA, 2018)

Analysis of Fast Structured Dictionary Learning. - Saiprasad Ravishankar; Anna Ma; Deanna Needell (CoRR, 2018)

PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2018)

SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction. - Zhipeng Li 003; Siqi Ye; Yong Long; Saiprasad Ravishankar (ICCV Workshops, 2019)

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (CoRR, 2019)

VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. - Bihan Wen; Saiprasad Ravishankar; Yoram Bresler (IEEE Trans. Image Process., 2019)

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction. - Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Marc Louis Klasky; Brendt Wohlberg (ISBI, 2020)

Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction. - Xikai Yang; Xuehang Zheng; Yong Long; Saiprasad Ravishankar (CoRR, 2020)

Supervised Learning of Sparsity-Promoting Regularizers for Denoising. - Michael T. McCann; Saiprasad Ravishankar (CoRR, 2020)

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. - Lanqing Guo; Saiprasad Ravishankar; Bihan Wen (CoRR, 2020)

Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction. - Xikai Yang; Yong Long; Saiprasad Ravishankar (CoRR, 2020)

Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction. - Xikai Yang; Yong Long; Saiprasad Ravishankar (CoRR, 2020)

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning. - Saiprasad Ravishankar; Jong Chul Ye; Jeffrey A. Fessler (Proc. IEEE, 2020)

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. - Bihan Wen; Saiprasad Ravishankar; Luke Pfister; Yoram Bresler (IEEE Signal Process. Mag., 2020)

Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models. - Brian E. Moore; Saiprasad Ravishankar; Raj Rao Nadakuditi; Jeffrey A. Fessler (IEEE Trans. Computational Imaging, 2020)

DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering. - Zhipeng Li 003; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2020)

SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models. - Siqi Ye; Saiprasad Ravishankar; Yong Long; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2020)

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration. - Lanqing Guo; Zhiyuan Zha; Saiprasad Ravishankar; Bihan Wen (ICASSP, 2021)

Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography. - Kaiyi Yang; Narong Borijindargoon; Boon Poh Ng; Saiprasad Ravishankar; Bihan Wen (ICASSP, 2021)

Labmat: Learned Feature-Domain Block Matching For Image Restoration. - Shijun Liang; Berk Iskender; Bihan Wen; Saiprasad Ravishankar (ICIP, 2021)

Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond. - Zhishen Huang; Siqi Ye; Michael T. McCann; Saiprasad Ravishankar (CoRR, 2021)

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography. - Zhishen Huang; Marc Louis Klasky; Trevor Wilcox; Saiprasad Ravishankar (CoRR, 2021)

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction. - Anish Lahiri; Guanhua Wang; Saiprasad Ravishankar; Jeffrey A. Fessler (IEEE Trans. Medical Imaging, 2021)

Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction. - Siqi Ye; Zhipeng Li 003; Michael T. McCann; Yong Long; Saiprasad Ravishankar (IEEE Trans. Medical Imaging, 2021)

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC). - Avrajit Ghosh; Michael T. McCann; Saiprasad Ravishankar (ICASSP, 2022)

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration. - Chong Wang 011; Rongkai Zhang 001; Saiprasad Ravishankar; Bihan Wen (ICIP, 2022)

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data. - Shijun Liang; Ashwin Sreevatsa; Anish Lahiri; Saiprasad Ravishankar (ISBI, 2022)

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data. - Anish Lahiri; Marc Louis Klasky; Jeffrey A. Fessler; Saiprasad Ravishankar (CoRR, 2022)

Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction. - Xikai Yang; Zhishen Huang; Yong Long; Saiprasad Ravishankar (CoRR, 2022)

Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI. - Zhishen Huang; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2022)

Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration. - Lanqing Guo; Zhiyuan Zha; Saiprasad Ravishankar; Bihan Wen (IEEE Trans. Image Process., 2022)

Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements. - Xiang Li; Saiprasad Ravishankar; Qing Qu 001 (CAMSAP, 2023)

Robust Self-Guided Deep Image Prior. - Evan Bell; Shijun Liang; Qing Qu 001; Saiprasad Ravishankar (ICASSP, 2023)

SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling. - Hui Li; Jinghan Jia; Shijun Liang; Yuguang Yao; Saiprasad Ravishankar; Sijia Liu 001 (ICASSP, 2023)

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction. - Chong Wang 011; Rongkai Zhang 001; Gabriel Maliakal; Saiprasad Ravishankar; Bihan Wen (ISBI, 2023)

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning. - Ling Chen; Zhishen Huang; Yong Long; Saiprasad Ravishankar (CoRR, 2023)

Robust MRI Reconstruction by Smoothed Unrolling (SMUG). - Shijun Liang; Van Hoang Minh Nguyen; Jinghan Jia; Ismail Alkhouri; Sijia Liu 001; Saiprasad Ravishankar (CoRR, 2023)

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CoRR, 2023)

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling. - Zhiyuan Zha; Bihan Wen; Xin Yuan 002; Saiprasad Ravishankar; Jiantao Zhou 001; Ce Zhu (IEEE Signal Process. Mag., 2023)

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data. - Anish Lahiri; Gabriel Maliakal; Marc Louis Klasky; Jeffrey A. Fessler; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2023)

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors]. - Bihan Wen; Saiprasad Ravishankar; Zhizhen Zhao 001; Raja Giryes; Jong Chul Ye (IEEE Signal Process. Mag., 2023)

Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization. - Shijun Liang; Evan Bell; Avrajit Ghosh; Saiprasad Ravishankar (IEEECONF, 2024)

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture. - Huijie Zhang; Yifu Lu; Ismail Alkhouri; Saiprasad Ravishankar; Dogyoon Song; Qing Qu 001 (CVPR, 2024)

Diffusion-Based Adversarial Purification for Robust Deep Mri Reconstruction. - Ismail Alkhouri; Shijun Liang; Rongrong Wang; Qing Qu 001; Saiprasad Ravishankar (ICASSP, 2024)

Patient-Adaptive and Learned Mri Data Undersampling Using Neighborhood Clustering. - Siddhant Gautam; Angqi Li; Saiprasad Ravishankar (ICASSP, 2024)

Optimal Eye Surgeon: Finding image priors through sparse generators at initialization. - Avrajit Ghosh; Xitong Zhang; Kenneth K. Sun; Qing Qu 001; Saiprasad Ravishankar; Rongrong Wang (ICML, 2024)

Image Reconstruction Via Autoencoding Sequential Deep Image Prior. - Ismail Alkhouri; Shijun Liang; Evan Bell; Qing Qu 001; Rongrong Wang; Saiprasad Ravishankar (NeurIPS, 2024)

Decoupled Data Consistency with Diffusion Purification for Image Restoration. - Xiang Li; Soo Min Kwon; Ismail R. Alkhouri; Saiprasad Ravishankar; Qing Qu 001 (CoRR, 2024)

SITCOM: Step-wise Triple-Consistent Diffusion Sampling for Inverse Problems. - Ismail Alkhouri; Shijun Liang; Cheng-Han Huang; Jimmy Dai; Qing Qu 001; Saiprasad Ravishankar; Rongrong Wang (CoRR, 2024)

Adaptive Local Neighborhood-Based Neural Networks for MR Image Reconstruction From Undersampled Data. - Shijun Liang; Anish Lahiri; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2024)

Learning Sparsity-Promoting Regularizers Using Bilevel Optimization. - Avrajit Ghosh; Michael T. McCann; Madeline Mitchell; Saiprasad Ravishankar (SIAM J. Imaging Sci., 2024)

Sequential Diffusion-Guided Deep Image Prior for Medical Image Reconstruction. - Shijun Liang; Ismail Alkhouri; Qing Qu 001; Rongrong Wang; Saiprasad Ravishankar (ICASSP, 2025)

Learning Dynamics of Deep Matrix Factorization Beyond the Edge of Stability. - Avrajit Ghosh; Soo Min Kwon; Rongrong Wang; Saiprasad Ravishankar; Qing Qu 001 (ICLR, 2025)

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction. - Shijun Liang; Evan Bell; Qing Qu 001; Rongrong Wang; Saiprasad Ravishankar (IEEE Trans. Computational Imaging, 2025)

Learnable Scaled Gradient Descent for Guaranteed Robust Tensor PCA. - Lanlan Feng; Ce Zhu; Yipeng Liu 001; Saiprasad Ravishankar; Longxiu Huang (CoRR, 2025)

Learning Dynamics of Deep Linear Networks Beyond the Edge of Stability. - Avrajit Ghosh; Soo Min Kwon; Rongrong Wang; Saiprasad Ravishankar; Qing Qu 001 (CoRR, 2025)

UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights. - Shijun Liang; Ismail R. Alkhouri; Siddhant Gautam; Qing Qu 001; Saiprasad Ravishankar (CoRR, 2025)

A Dataless Reinforcement Learning Approach to Rounding Hyperplane Optimization for Max-Cut. - Gabriel Malikal; Ismail Alkhouri; Alvaro Velasquez; Adam M. Alessio; Saiprasad Ravishankar (CoRR, 2025)

Variational Learning Finds Flatter Solutions at the Edge of Stability. - Avrajit Ghosh; Bai Cong; Rio Yokota; Saiprasad Ravishankar; Rongrong Wang; Molei Tao; Mohammad Emtiyaz Khan; Thomas Möllenhoff (CoRR, 2025)