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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

29 September 2024
Xiaojian Xu
Marc Klasky
Michael T. McCann
Jason Hu
Jeffrey A. Fessler
    3DPCMedIm
ArXiv (abs)PDFHTML

Papers citing "Swap-Net: A Memory-Efficient 2.5D Network for Sparse-View 3D Cone Beam CT Reconstruction"

16 / 16 papers shown
Title
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models
Suhyeon Lee
Hyungjin Chung
Minyoung Park
Jonghyuk Park
Wi-Sun Ryu
J. C. Ye
DiffMMedIm
68
47
0
15 Mar 2023
Online Deep Equilibrium Learning for Regularization by Denoising
Online Deep Equilibrium Learning for Regularization by Denoising
Jiaming Liu
Xiaojian Xu
Weijie Gan
Shirin Shoushtari
Ulugbek S. Kamilov
105
27
0
25 May 2022
End-to-end reconstruction meets data-driven regularization for inverse
  problems
End-to-end reconstruction meets data-driven regularization for inverse problems
Subhadip Mukherjee
M. Carioni
Ozan Oktem
Carola-Bibiane Schönlieb
43
40
0
07 Jun 2021
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
SGD-Net: Efficient Model-Based Deep Learning with Theoretical Guarantees
Jiaming Liu
Yu Sun
Weijie Gan
Xiaojian Xu
B. Wohlberg
Ulugbek S. Kamilov
FedMLMedIm
69
31
0
22 Jan 2021
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal
  and Image Processing
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing
V. Monga
Yuelong Li
Yonina C. Eldar
102
1,022
0
22 Dec 2019
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with
  Deep Learning
Limited View and Sparse Photoacoustic Tomography for Neuroimaging with Deep Learning
Steven Guan
Amir A. Khan
S. Sikdar
P. Chitnis
50
93
0
11 Nov 2019
Momentum-Net: Fast and convergent iterative neural network for inverse
  problems
Momentum-Net: Fast and convergent iterative neural network for inverse problems
Il Yong Chun
Zhengyu Huang
Hongki Lim
Jeffrey A. Fessler
111
82
0
26 Jul 2019
4D X-Ray CT Reconstruction using Multi-Slice Fusion
4D X-Ray CT Reconstruction using Multi-Slice Fusion
Soumendu Majee
Thilo Balke
C. A. Kemp
G. Buzzard
Charles A. Bouman
32
16
0
15 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
105
244
0
04 Apr 2019
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram
  Completion
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion
Rushil Anirudh
Hyojin Kim
Jayaraman J. Thiagarajan
K. A. Mohan
Kyle Champley
P. Bremer
65
103
0
28 Nov 2017
Model based learning for accelerated, limited-view 3D photoacoustic
  tomography
Model based learning for accelerated, limited-view 3D photoacoustic tomography
A. Hauptmann
F. Lucka
M. Betcke
N. Huynh
J. Adler
B. Cox
P. Beard
Sebastien Ourselin
Simon Arridge
MedIm
43
291
0
31 Aug 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
79
753
0
20 Jul 2017
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for
  Low-Dose 3D CT Image Reconstruction
PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
Xuehang Zheng
S. Ravishankar
Y. Long
Jeffrey A. Fessler
51
83
0
27 Mar 2017
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
76
2,123
0
11 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.9K
77,441
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
1