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

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

25 March 2019

Papers citing "Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks"

16 / 16 papers shown

Title
Learning Multi-Layer Transform Models S. Ravishankar B. Wohlberg MedIm 23 12 0 19 Oct 2018
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models Brian E. Moore S. Ravishankar R. Nadakuditi Jeffrey A. Fessler 24 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 48 11 0 03 Aug 2018
Deep Residual Learning for Accelerated MRI using Magnitude and Phase Networks Dongwook Lee Jaejun Yoo S. Tak J. C. Ye OOD 64 296 0 02 Apr 2018
Learning Filter Bank Sparsifying Transforms L. Pfister Y. Bresler 36 28 0 06 Mar 2018
Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery Il Yong Chun Jeffrey A. Fessler 44 70 0 20 Feb 2018
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising Bihan Wen S. Ravishankar Y. Bresler 32 34 0 03 Oct 2017
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning Jeremias Sulam Vardan Papyan Yaniv Romano Michael Elad 86 111 0 29 Aug 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 74 1,131 0 08 Apr 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 48 1,540 0 03 Apr 2017
Low-rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging S. Ravishankar Brian E. Moore R. Nadakuditi Jeffrey A. Fessler 55 71 0 13 Nov 2016
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications Bihan Wen S. Ravishankar Y. Bresler 54 43 0 19 Nov 2015
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems S. Ravishankar R. Nadakuditi Jeffrey A. Fessler 27 39 0 19 Nov 2015
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing S. Ravishankar Y. Bresler 40 63 0 04 Nov 2015
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction Zhifang Zhan Jian-Feng Cai D. Guo Yunsong Liu Zhong Chen X. Qu 36 195 0 10 Mar 2015
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI S. Ravishankar Y. Bresler MedIm 52 113 0 13 Jan 2015