ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1904.02816
  4. Cited By
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine
  Learning
v1v2v3 (latest)

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

4 April 2019
S. Ravishankar
J. C. Ye
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning"

18 / 68 papers shown
Title
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time
  MR Imaging
Tracking Tensor Subspaces with Informative Random Sampling for Real-Time MR Imaging
Morteza Mardani
G. Giannakis
K. Uğurbil
35
10
0
14 Sep 2016
A Perspective on Deep Imaging
A Perspective on Deep Imaging
Ge Wang
OOD
44
392
0
10 Sep 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
142
7,007
0
13 Aug 2016
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with
  Convolution Framelets
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets
Rujie Yin
Tingran Gao
Yue M. Lu
Ingrid Daubechies
43
53
0
04 Jun 2016
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction
Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction
Hung Nien
Jeffrey A. Fessler
31
41
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning
  and Applications
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications
Bihan Wen
S. Ravishankar
Y. Bresler
59
43
0
19 Nov 2015
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its
  Application to Inverse Problems
Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems
S. Ravishankar
R. Nadakuditi
Jeffrey A. Fessler
35
39
0
19 Nov 2015
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
104
6,195
0
14 Nov 2015
Data-Driven Learning of a Union of Sparsifying Transforms Model for
  Blind Compressed Sensing
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing
S. Ravishankar
Y. Bresler
55
63
0
04 Nov 2015
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier
  Samples
Off-the-Grid Recovery of Piecewise Constant Images from Few Fourier Samples
Greg Ongie
M. Jacob
68
118
0
01 Oct 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Fast Multi-class Dictionaries Learning with Geometrical Directions in
  MRI Reconstruction
Fast Multi-class Dictionaries Learning with Geometrical Directions in MRI Reconstruction
Zhifang Zhan
Jian-Feng Cai
D. Guo
Yunsong Liu
Zhong Chen
X. Qu
51
195
0
10 Mar 2015
Efficient Blind Compressed Sensing Using Sparsifying Transforms with
  Convergence Guarantees and Application to MRI
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
Subspace Learning and Imputation for Streaming Big Data Matrices and
  Tensors
Subspace Learning and Imputation for Streaming Big Data Matrices and Tensors
Morteza Mardani
Gonzalo Mateos
G. Giannakis
66
182
0
17 Apr 2014
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Bayesian Nonparametric Dictionary Learning for Compressed Sensing MRI
Yue Huang
John Paisley
Qin Lin
Xinghao Ding
Xueyang Fu
Xiao-Ping Zhang
MedIm
76
134
0
12 Feb 2013
The Convex Geometry of Linear Inverse Problems
The Convex Geometry of Linear Inverse Problems
V. Chandrasekaran
Benjamin Recht
P. Parrilo
A. Willsky
208
1,341
0
03 Dec 2010
Online Learning for Matrix Factorization and Sparse Coding
Online Learning for Matrix Factorization and Sparse Coding
Julien Mairal
Francis R. Bach
Jean Ponce
Guillermo Sapiro
149
2,616
0
01 Aug 2009
Previous
12