Saiprasad Ravishankar

Madeline Mitchell

SIAM J. Imaging Sci., March, 2024

Decoupled Data Consistency with Diffusion Purification for Image Restoration.

[BibT_eX]

[DOI]

Xiang Li

Soo Min Kwon

Ismail R. Alkhouri

CoRR, 2024

Analysis of Deep Image Prior and Exploiting Self-Guidance for Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Physics-Driven Machine Learning for Computational Imaging: Part 2 [From the Guest Editors].

[BibT_eX]

[DOI]

Zhizhen Zhao

Raja Giryes

Jong Chul Ye

IEEE Signal Process. Mag., March, 2023

Sparse-View Cone Beam CT Reconstruction Using Data-Consistent Supervised and Adversarial Learning From Scarce Training Data.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2023

Learning Nonlocal Sparse and Low-Rank Models for Image Compressive Sensing: Nonlocal sparse and low-rank modeling.

[BibT_eX]

[DOI]

Zhiyuan Zha

Xin Yuan

Jiantao Zhou

Ce Zhu

IEEE Signal Process. Mag., 2023

Physics-Driven Machine Learning for Computational Imaging [From the Guest Editor].

[BibT_eX]

[DOI]

Zhizhen Zhao

Raja Giryes

Jong Chul Ye

IEEE Signal Process. Mag., 2023

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures.

[BibT_eX]

[DOI]

Huijie Zhang

Yifu Lu

Ismail Alkhouri

Dogyoon Song

CoRR, 2023

Robust MRI Reconstruction by Smoothed Unrolling (SMUG).

[BibT_eX]

[DOI]

Van Hoang Minh Nguyen

Jinghan Jia

Ismail Alkhouri

Sijia Liu

CoRR, 2023

Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning.

[BibT_eX]

[DOI]

Ling Chen

CoRR, 2023

Deep Reinforcement Learning Based Unrolling Network for MRI Reconstruction.

[BibT_eX]

[DOI]

Chong Wang

Rongkai Zhang

Gabriel Maliakal

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

SMUG: Towards Robust Mri Reconstruction by Smoothed Unrolling.

[BibT_eX]

[DOI]

Sijia Liu

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Self-Guided Deep Image Prior.

[BibT_eX]

[DOI]

Evan Bell

Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Deep Image Recovery from Sparsely Corrupted and Sub-Sampled Measurements.

[BibT_eX]

[DOI]

Xiang Li

Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022

Exploiting Non-Local Priors via Self-Convolution for Highly-Efficient Image Restoration.

[BibT_eX]

[DOI]

Lanqing Guo

Zhiyuan Zha

IEEE Trans. Image Process., 2022

Single-Pass Object-Adaptive Data Undersampling and Reconstruction for MRI.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2022

Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2022

Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data.

[BibT_eX]

[DOI]

CoRR, 2022

LONDN-MRI: Adaptive Local Neighborhood-Based Networks for MR Image Reconstruction from Undersampled Data.

[BibT_eX]

[DOI]

Ashwin Sreevatsa

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

REPNP: Plug-and-Play with Deep Reinforcement Learning Prior for Robust Image Restoration.

[BibT_eX]

[DOI]

Chong Wang

Rongkai Zhang

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

Bilevel Learning of ℓ1 Regularizers with Closed-Form Gradients (BLORC).

[BibT_eX]

[DOI]

Avrajit Ghosh

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Unified Supervised-Unsupervised (SUPER) Learning for X-Ray CT Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction.

[BibT_eX]

[DOI]

Guanhua Wang

IEEE Trans. Medical Imaging, 2021

Physics-Driven Learning of Wasserstein GAN for Density Reconstruction in Dynamic Tomography.

[BibT_eX]

[DOI]

Trevor Wilcox

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Labmat: Learned Feature-Domain Block Matching For Image Restoration.

[BibT_eX]

[DOI]

Berk Iskender

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Learning Sparsifying Transforms for Image Reconstruction in Electrical Impedance Tomography.

[BibT_eX]

[DOI]

Kaiyi Yang

Narong Borijindargoon

Boon Poh Ng

Proceedings of the IEEE International Conference on Acoustics, 2021

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.

[BibT_eX]

[DOI]

Lanqing Guo

Zhiyuan Zha

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2020

Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2020

Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks.

[BibT_eX]

[DOI]

Luke Pfister

IEEE Signal Process. Mag., 2020

Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning.

[BibT_eX]

[DOI]

Jong Chul Ye

Proc. IEEE, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2020

Self-Convolution: A Highly-Efficient Operator for Non-Local Image Restoration.

[BibT_eX]

[DOI]

Lanqing Guo

CoRR, 2020

Supervised Learning of Sparsity-Promoting Regularizers for Denoising.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

CoRR, 2020

Two-Layer Residual Sparsifying Transform Learning for Image Reconstruction.

[BibT_eX]

[DOI]

Brendt Wohlberg

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Multi-layer Residual Sparsifying Transform Learning for Image Reconstruction.

[BibT_eX]

[DOI]

Brendt Wohlberg

CoRR, 2019

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

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2018

Analysis of Fast Structured Dictionary Learning.

[BibT_eX]

[DOI]

Anna Ma

Deanna Needell

CoRR, 2018

Analysis of Fast Alternating Minimization for Structured Dictionary Learning.

[BibT_eX]

[DOI]

Anna Ma

Deanna Needell

Proceedings of the 2018 Information Theory and Applications Workshop, 2018

Deep dictionary-transform learning for image reconstruction.

[BibT_eX]

[DOI]

Cameron Blocker

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Image-domain material decomposition using data-driven sparsity models for dual-energy CT.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Learned Mixed Material Models for Efficient Clustering Based Dual-Energy CT Image Decomposition.

[BibT_eX]

[DOI]

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

Learning Multi-Layer Transform Models.

[BibT_eX]

[DOI]

Brendt Wohlberg

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2017

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems.

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2017

Adaptive sparse modeling and shifted-poisson likelihood based approach for low-dosect image reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Online data-driven dynamic image restoration using DINO-KAT models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Efficient online dictionary adaptation and image reconstruction for dynamic MRI.

[BibT_eX]

[DOI]

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

Physics-driven deep training of dictionary-based algorithms for MR image reconstruction.

[BibT_eX]

[DOI]

Il Yong Chun

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

2016

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

[BibT_eX]

[DOI]

IEEE Trans. Computational Imaging, 2016

Low dose CT image reconstruction with learned sparsifying transform.

[BibT_eX]

[DOI]

Zening Lu

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging.

[BibT_eX]

[DOI]

Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Learning flipping and rotation invariant sparsifying transforms.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Sum of outer products dictionary learning for inverse problems.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

Efficient learning of dictionaries with low-rank atoms.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016

2015

ℓ<sub>0</sub> Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2015

Online Sparsifying Transform Learning - Part I: Algorithms.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Online Sparsifying Transform Learning - Part II: Convergence Analysis.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2015

Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2015

FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) - The $\ell_0$ Method.

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Sum of Sparse Outer Products Dictionary Learning (SOUP-DIL).

[BibT_eX]

[DOI]

CoRR, 2015

Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI.

[BibT_eX]

[DOI]

CoRR, 2015

Video denoising by online 3D sparsifying transform learning.

[BibT_eX]

[DOI]

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

2014

Adaptive sparse representations and their applications

[BibT_eX]

[DOI]

PhD thesis, 2014

Learning overcomplete sparsifying transforms with block cosparsity.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Doubly sparse transform learning with convergence guarantees.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Online sparsifying transform learning for signal processing.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Global Conference on Signal and Information Processing, 2014

2013

Learning Sparsifying Transforms.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Learning Doubly Sparse Transforms for Images.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

Sparsifying transform learning for Compressed Sensing MRI.

[BibT_eX]

[DOI]

Proceedings of the 10th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2013

Closed-form solutions within sparsifying transform learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Learning overcomplete sparsifying transforms for signal processing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Learning doubly sparse transforms for image representation.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Learning sparsifying transforms for image processing.

[BibT_eX]

[DOI]

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011

MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2011

Highly undersampled MRI using adaptive sparse representations.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Adaptive sampling design for compressed sensing MRI.

[BibT_eX]

[DOI]

Proceedings of the 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011

2009

Automated feature extraction for early detection of diabetic retinopathy in fundus images.

[BibT_eX]

[DOI]

Arpit Jain

Anurag Mittal

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Multi-stage Contour Based Detection of Deformable Objects.

[BibT_eX]

[DOI]