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Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier
  Samples
v1v2 (latest)

Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples

1 October 2015
Greg Ongie
M. Jacob
ArXiv (abs)PDFHTML

Papers citing "Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples"

27 / 27 papers shown
Title
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion
  Model
Zero-shot Dynamic MRI Reconstruction with Global-to-local Diffusion Model
Yu Guan
Kunlong Zhang
Qi Qi
Dong Wang
Ziwen Ke
Shaoyu Wang
Dong Liang
Qiegen Liu
MedIm
99
0
0
06 Nov 2024
Towards a Sampling Theory for Implicit Neural Representations
Towards a Sampling Theory for Implicit Neural Representations
Mahrokh Najaf
Gregory Ongie
79
0
0
28 May 2024
K-UNN: k-Space Interpolation With Untrained Neural Network
K-UNN: k-Space Interpolation With Untrained Neural Network
Zhuoxu Cui
Seng Jia
Qingyong Zhu
Congcong Liu
Zhilang Qiu
Yuanyuan Liu
Jing Cheng
Haifeng Wang
Yanjie Zhu
Dong Liang
49
1
0
11 Aug 2022
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging
  with Joint Reconstruction
Wave-Encoded Model-based Deep Learning for Highly Accelerated Imaging with Joint Reconstruction
Jaejin Cho
B. Gagoski
Taehyung Kim
Q. Tian
Stephen R. Frost
I. Chatnuntawech
B. Bilgiç
75
8
0
06 Feb 2022
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
111
47
0
17 Sep 2021
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)
Deep Generalization of Structured Low-Rank Algorithms (Deep-SLR)
Aniket Pramanik
H. Aggarwal
M. Jacob
109
61
0
07 Dec 2019
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to
  Machine Learning
Structured Low-Rank Algorithms: Theory, MR Applications, and Links to Machine Learning
M. Jacob
M. Mani
J. C. Ye
108
52
0
27 Oct 2019
Robust Autocalibrated Structured Low-Rank EPI Ghost Correction
Robust Autocalibrated Structured Low-Rank EPI Ghost Correction
Rodrigo A. Lobos
W. S. Hoge
A. Javed
C. Liao
Kawin Setsompop
K. Nayak
Justin P. Haldar
72
15
0
30 Jul 2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI
  Reconstruction in k-Space
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space
T. Kim
Pratyush Garg
Justin P. Haldar
78
58
0
20 Apr 2019
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
130
245
0
04 Apr 2019
Off-the-grid model based deep learning (O-MODL)
Off-the-grid model based deep learning (O-MODL)
Aniket Pramanik
H. Aggarwal
M. Jacob
71
11
0
27 Dec 2018
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge
  Detection Network and Feature Merge Network
SREdgeNet: Edge Enhanced Single Image Super Resolution using Dense Edge Detection Network and Feature Merge Network
Kwanyoung Kim
S. Chun
SupR
51
12
0
18 Dec 2018
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR
  Angiography
k-Space Deep Learning for Parallel MRI: Application to Time-Resolved MR Angiography
Eunju Cha
E. Kim
J. C. Ye
63
5
0
03 Jun 2018
k-Space Deep Learning for Accelerated MRI
k-Space Deep Learning for Accelerated MRI
Yoseob Han
Leonard Sunwoo
J. C. Ye
119
190
0
10 May 2018
Quantitative Susceptibility Map Reconstruction Using Annihilating
  Filter-based Low-Rank Hankel Matrix Approach
Quantitative Susceptibility Map Reconstruction Using Annihilating Filter-based Low-Rank Hankel Matrix Approach
Hyun-Seo Ahn
Sunghong Park
J. C. Ye
48
6
0
25 Apr 2018
Calibration-free B0 correction of EPI data using structured low rank
  matrix recovery
Calibration-free B0 correction of EPI data using structured low rank matrix recovery
Arvind Balachandrasekaran
M. Mani
M. Jacob
34
8
0
20 Apr 2018
Free-breathing cardiac MRI using bandlimited manifold modelling
Free-breathing cardiac MRI using bandlimited manifold modelling
Sunrita Poddar
Yasir Q. Mohsin
Deidra Ansah
Bijoy Thattaliyath
R. Ashwath
M. Jacob
48
3
0
24 Feb 2018
Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods
  Re-explained
Recovery of Noisy Points on Band-limited Surfaces: Kernel Methods Re-explained
Sunrita Poddar
M. Jacob
62
12
0
03 Jan 2018
Recovery of Point Clouds on Surfaces: Application to Image
  Reconstruction
Recovery of Point Clouds on Surfaces: Application to Image Reconstruction
Sunrita Poddar
M. Jacob
76
9
0
03 Jan 2018
MoDL: Model Based Deep Learning Architecture for Inverse Problems
MoDL: Model Based Deep Learning Architecture for Inverse Problems
H. Aggarwal
M. Mani
M. Jacob
194
1,026
0
07 Dec 2017
Framing U-Net via Deep Convolutional Framelets: Application to
  Sparse-view CT
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
88
522
0
28 Aug 2017
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix
  Models: New Theory and Methods
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods
Rodrigo A. Lobos
T. Kim
W. S. Hoge
Justin P. Haldar
99
46
0
16 Aug 2017
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet
  Residual Network
Deep Convolutional Framelet Denosing for Low-Dose CT via Wavelet Residual Network
Eunhee Kang
J. Yoo
J. C. Ye
OODSupRMedIm
70
15
0
31 Jul 2017
Deep Convolutional Framelets: A General Deep Learning Framework for
  Inverse Problems
Deep Convolutional Framelets: A General Deep Learning Framework for Inverse Problems
J. C. Ye
Yoseob Han
Eunju Cha
114
16
0
03 Jul 2017
Generalized notions of sparsity and restricted isometry property. Part
  II: Applications
Generalized notions of sparsity and restricted isometry property. Part II: Applications
Marius Junge
Kiryung Lee
25
2
0
28 Jun 2017
Recovery of damped exponentials using structured low rank matrix
  completion
Recovery of damped exponentials using structured low rank matrix completion
Arvind Balachandrasekaran
V. Magnotta
M. Jacob
61
12
0
14 Apr 2017
Novel Structured Low-rank algorithm to recover spatially smooth
  exponential image time series
Novel Structured Low-rank algorithm to recover spatially smooth exponential image time series
Arvind Balachandrasekaran
M. Jacob
52
5
0
29 Mar 2017
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