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PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for
  Low-Dose 3D CT Image Reconstruction
v1v2v3 (latest)

PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction

27 March 2017
Xuehang Zheng
S. Ravishankar
Y. Long
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction"

30 / 30 papers shown
Title
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam
  CT Reconstruction
Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction
Xiaojian Xu
Marc Klasky
Michael T. McCann
Jason Hu
Jeffrey A. Fessler
3DPCMedIm
49
0
0
29 Sep 2024
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and
  Unsupervised Learning
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning
Ling Chen
Zhishen Huang
Y. Long
S. Ravishankar
46
1
0
19 Nov 2023
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse
  Problems
Two-and-a-half Order Score-based Model for Solving 3D Ill-posed Inverse Problems
Zirong Li
Yanyang Wang
Jianjia Zhang
Weiwen Wu
Hengyong Yu
56
10
0
16 Aug 2023
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer
Low-Dose CT Denoising via Sinogram Inner-Structure Transformer
Liutao Yang
Zhongnian Li
Rongjun Ge
Junyong Zhao
Haipeng Si
Daoqiang Zhang
MedIm
72
55
0
07 Apr 2022
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed
  Tomography: A survey
Physics-/Model-Based and Data-Driven Methods for Low-Dose Computed Tomography: A survey
Wenjun Xia
Hongming Shan
Ge Wang
Yi Zhang
OODAI4CE
35
24
0
29 Mar 2022
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose
  CT Image Reconstruction
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction
Xikai Yang
Zhishen Huang
Y. Long
S. Ravishankar
OODMedIm
38
1
0
22 Mar 2022
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy
  CT Reconstruction
Multi-Channel Convolutional Analysis Operator Learning for Dual-Energy CT Reconstruction
A. Perelli
Suxer Lazara Alfonso Garcia
A. Bousse
J. Tasu
Nikolaos Efthimiadis
D. Visvikis
45
9
0
10 Mar 2022
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised
  and Adversarial Learning from Scarce Training Data
Sparse-view Cone Beam CT Reconstruction using Data-consistent Supervised and Adversarial Learning from Scarce Training Data
Anish Lahiri
M. Klasky
Jeffrey A. Fessler
S. Ravishankar
56
27
0
23 Jan 2022
Self-Attention Generative Adversarial Network for Iterative
  Reconstruction of CT Images
Self-Attention Generative Adversarial Network for Iterative Reconstruction of CT Images
Ruiwen Xing
T. Humphries
D. Si
GANMedIm
118
1
0
23 Dec 2021
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based
  Discriminators for Low-Dose CT Denoising
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang
Junping Zhang
Yi Zhang
Hongming Shan
MedIm
148
157
0
24 Aug 2021
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D
  Tomographic Image Reconstruction
A Geometry-Informed Deep Learning Framework for Ultra-Sparse 3D Tomographic Image Reconstruction
Liyue Shen
Wei Zhao
D. Capaldi
John M. Pauly
Lei Xing
65
29
0
25 May 2021
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT
  Reconstruction
Provably Convergent Learned Inexact Descent Algorithm for Low-Dose CT Reconstruction
Qingchao Zhang
Mehrdad Alvandipour
Wenjun Xia
Yi Zhang
X. Ye
Yunmei Chen
57
6
0
27 Apr 2021
Model-based Reconstruction with Learning: From Unsupervised to
  Supervised and Beyond
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
Two-layer clustering-based sparsifying transform learning for low-dose
  CT reconstruction
Two-layer clustering-based sparsifying transform learning for low-dose CT reconstruction
Xikai Yang
Y. Long
S. Ravishankar
16
1
0
01 Nov 2020
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT
  Image Reconstruction
Multi-layer Residual Sparsifying Transform (MARS) Model for Low-dose CT Image Reconstruction
Xikai Yang
Y. Long
S. Ravishankar
MedIm
110
3
0
10 Oct 2020
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT
  Reconstruction
Learned Multi-layer Residual Sparsifying Transform Model for Low-dose CT Reconstruction
Xikai Yang
Xuehang Zheng
Y. Long
S. Ravishankar
MedIm
9
2
0
08 May 2020
Momentum-Net for Low-Dose CT Image Reconstruction
Momentum-Net for Low-Dose CT Image Reconstruction
Siqi Ye
Y. Long
Il Yong Chun
101
8
0
27 Feb 2020
A deep network for sinogram and CT image reconstruction
A deep network for sinogram and CT image reconstruction
Wei Wang
X. Xia
Chuanjiang He
Zemin Ren
Jian Lu
Tianfu Wang
Baiying Lei
20
9
0
20 Jan 2020
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT
  Image Reconstruction
SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction
Zhipeng Li
Siqi Ye
Y. Long
S. Ravishankar
OOD
25
9
0
26 Oct 2019
Deep Variational Networks with Exponential Weighting for Learning
  Computed Tomography
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography
V. Vishnevskiy
R. Rau
O. Goksel
39
22
0
13 Jun 2019
Two-layer Residual Sparsifying Transform Learning for Image
  Reconstruction
Two-layer Residual Sparsifying Transform Learning for Image Reconstruction
Xuehang Zheng
S. Ravishankar
Y. Long
M. Klasky
B. Wohlberg
MedIm
55
2
0
01 Jun 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
121
244
0
04 Apr 2019
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction
Peng Bao
Wenjun Xia
Kang Yang
Weiyan Chen
Mianyi Chen
...
Jiliu Zhou
He Zhang
Huaiqiang Sun
Zhangyang Wang
Yi Zhang
66
108
0
20 Mar 2019
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed
  Material Models and Efficient Clustering
DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
Zhipeng Li
S. Ravishankar
Y. Long
Jeffrey A. Fessler
43
29
0
01 Jan 2019
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction
  from incomplete data
JSR-Net: A Deep Network for Joint Spatial-Radon Domain CT Reconstruction from incomplete data
Haimiao Zhang
Bin Dong
Baodong Liu
MedIm
65
22
0
03 Dec 2018
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD3DV
95
327
0
08 Nov 2018
A Deep Learning Framework for Single-Sided Sound Speed Inversion in
  Medical Ultrasound
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Micha Feigin-Almon
Daniel Freedman
B. Anthony
SyDaMedIm
141
86
0
30 Sep 2018
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer
  Learning from a 2D Trained Network
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network
Hongming Shan
Yi Zhang
Qingsong Yang
Uwe Krüger
Mannudeep K. Kalra
Ling Sun
W. Cong
Ge Wang
MedIm
80
349
0
15 Feb 2018
Sparse-View X-Ray CT Reconstruction Using $\ell_1$ Prior with Learned
  Transform
Sparse-View X-Ray CT Reconstruction Using ℓ1\ell_1ℓ1​ Prior with Learned Transform
Xuehang Zheng
Il Yong Chun
Zhipeng Li
Y. Long
Jeffrey A. Fessler
65
20
0
02 Nov 2017
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online
  Video Denoising
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising
Bihan Wen
S. Ravishankar
Y. Bresler
57
34
0
03 Oct 2017
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