K-space and Image Domain Collaborative Energy based Model for Parallel
MRI Reconstruction

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K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction

21 March 2022

Dong Liang

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Papers citing "K-space and Image Domain Collaborative Energy based Model for Parallel MRI Reconstruction"

18 / 18 papers shown

Title
On Feature Diversity in Energy-based Models Firas Laakom Jenni Raitoharju Alexandros Iosifidis Moncef Gabbouj 59 7 0 02 Jun 2023
MRI Reconstruction Using Deep Energy-Based Model Yu Guan Zongjiang Tu Shanshan Wang Qiegen Liu Yuhao Wang Dong Liang DiffM MedIm 62 14 0 07 Sep 2021
Robust Compressed Sensing MRI with Deep Generative Priors A. Jalal Marius Arvinte Giannis Daras Eric Price A. Dimakis Jonathan I. Tamir MedIm 87 339 0 03 Aug 2021
Scan Specific Artifact Reduction in K-space (SPARK) Neural Networks Synergize with Physics-based Reconstruction to Accelerate MRI Yamin Arefeen Onur Beker Jaejin Cho Heng Yu E. Adalsteinsson B. Bilgiç 98 33 0 02 Apr 2021
Homotopic Gradients of Generative Density Priors for MR Image Reconstruction Cong Quan Jinjie Zhou Yuanzheng Zhu Yang Chen Shanshan Wang Dong Liang Qiegen Liu DiffM MedIm 57 26 0 14 Aug 2020
Self-Supervised Physics-Based Deep Learning MRI Reconstruction Without Fully-Sampled Data Burhaneddin Yaman S. A. Hosseini S. Moeller J. Ellermann K. Uğurbil Mehmet Akçakaya OOD 115 82 0 21 Oct 2019
IFR-Net: Iterative Feature Refinement Network for Compressed Sensing MRI Yiling Liu Qiegen Liu Minghui Zhang Qingxin Yang Shanshan Wang Dong Liang 52 61 0 24 Sep 2019
MRI Reconstruction Using Deep Bayesian Estimation Guanxiong Luo Na Zhao Wenhao Jiang E. Hui Peng Cao MedIm 77 60 0 03 Sep 2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space T. Kim Pratyush Garg Justin P. Haldar 60 58 0 20 Apr 2019
A Hybrid Frequency-domain/Image-domain Deep Network for Magnetic Resonance Image Reconstruction R. Souza Richard Frayne 58 55 0 30 Oct 2018
k-Space Deep Learning for Accelerated MRI Yoseob Han Leonard Sunwoo J. C. Ye 93 188 0 10 May 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems H. Aggarwal M. Mani M. Jacob 143 1,022 0 07 Dec 2017
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction C. Qin Jo Schlemper Jose Caballero Anthony N. Price Joseph V. Hajnal Daniel Rueckert MedIm 85 500 0 05 Dec 2017
MR image reconstruction using deep density priors K. Tezcan Christian F. Baumgartner R. Luechinger K. Pruessmann E. Konukoglu 58 138 0 30 Nov 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 75 1,544 0 03 Apr 2017
Compressed Sensing using Generative Models Ashish Bora A. Jalal Eric Price A. Dimakis 152 810 0 09 Mar 2017
A Deep Cascade of Convolutional Neural Networks for MR Image Reconstruction Jo Schlemper Jose Caballero Joseph V. Hajnal Anthony N. Price Daniel Rueckert 110 348 0 01 Mar 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 71 2,122 0 11 Nov 2016