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

4 November 2015

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

21 / 21 papers shown

Title
Learning Sparsity-Promoting Regularizers using Bilevel Optimization Avrajit Ghosh Michael T. McCann Madeline Mitchell S. Ravishankar 71 5 0 18 Jul 2022
A review and experimental evaluation of deep learning methods for MRI reconstruction Arghya Pal Yogesh Rathi 3DV 108 47 0 17 Sep 2021
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond Zhishen Huang Siqi Ye Michael T. McCann S. Ravishankar MedIm 51 10 0 26 Mar 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction Javier Montalt-Tordera V. Muthurangu A. Hauptmann J. Steeden AI4CE 115 42 0 09 Dec 2020
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 86 104 0 01 Dec 2020
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction Xikai Yang Y. Long S. Ravishankar MedIm 119 3 0 10 Oct 2020
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction Zhipeng Li Siqi Ye Y. Long S. Ravishankar OOD 36 9 0 26 Oct 2019
Two-layer Residual Sparsifying Transform Learning for Image Reconstruction Xuehang Zheng S. Ravishankar Y. Long M. Klasky B. Wohlberg MedIm 62 2 0 01 Jun 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning S. Ravishankar J. C. Ye Jeffrey A. Fessler 130 244 0 04 Apr 2019
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks Bihan Wen S. Ravishankar L. Pfister Y. Bresler MedIm 83 64 0 25 Mar 2019
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering Zhipeng Li S. Ravishankar Y. Long Jeffrey A. Fessler 53 29 0 01 Jan 2019
Learning Multi-Layer Transform Models S. Ravishankar B. Wohlberg MedIm 51 12 0 19 Oct 2018
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models Brian E. Moore S. Ravishankar R. Nadakuditi Jeffrey A. Fessler 69 9 0 06 Sep 2018
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling Bihan Wen Yanjun Li Y. Bresler 87 11 0 03 Aug 2018
Analysis of Fast Structured Dictionary Learning S. Ravishankar A. Ma Deanna Needell 57 12 0 31 May 2018
Learning-Based Compressive MRI Baran Gözcü Rabeeh Karimi Mahabadi Yen-Huan Li E. Ilıcak Tolga Çukur Jonathan Scarlett Volkan Cevher 83 121 0 03 May 2018
Analysis of Fast Alternating Minimization for Structured Dictionary Learning S. Ravishankar A. Ma Deanna Needell 19 0 0 01 Feb 2018
Face Sketch Matching via Coupled Deep Transform Learning Shruti Nagpal Maneet Singh Richa Singh Mayank Vatsa A. Noore A. Majumdar CVBM 40 30 0 09 Oct 2017
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising Bihan Wen S. Ravishankar Y. Bresler 57 34 0 03 Oct 2017
Learning a Variational Network for Reconstruction of Accelerated MRI Data Kerstin Hammernik Teresa Klatzer Erich Kobler M. Recht D. Sodickson Thomas Pock Florian Knoll 124 1,554 0 03 Apr 2017
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems S. Ravishankar R. Nadakuditi Jeffrey A. Fessler 72 39 0 19 Nov 2015