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Computed Tomography Reconstruction Using Deep Image Prior and Learned
  Reconstruction Methods

Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods

10 March 2020
Daniel Otero Baguer
Johannes Leuschner
Maximilian Schmidt
ArXivPDFHTML

Papers citing "Computed Tomography Reconstruction Using Deep Image Prior and Learned Reconstruction Methods"

12 / 12 papers shown
Title
Physics-Driven Neural Compensation For Electrical Impedance Tomography
Physics-Driven Neural Compensation For Electrical Impedance Tomography
Chuyu Wang
Huiting Deng
Dong Liu
22
0
0
25 Apr 2025
Single-shot Tomography of Discrete Dynamic Objects
Single-shot Tomography of Discrete Dynamic Objects
A. Kadu
F. Lucka
K. Batenburg
11
0
0
09 Nov 2023
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN
  sampler
Bayesian imaging inverse problem with SA-Roundtrip prior via HMC-pCN sampler
Jiayu Qian
Yuanyuan Liu
Jingya Yang
Qingping Zhou
23
0
0
24 Oct 2023
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale
  X-ray imaging with minimal data acquisition and computation time
Attentional Ptycho-Tomography (APT) for three-dimensional nanoscale X-ray imaging with minimal data acquisition and computation time
Iksung Kang
Ziling Wu
Yi Jiang
Yudong Yao
Junjing Deng
J. Klug
S. Vogt
George Barbastathis
16
7
0
29 Nov 2022
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction
Qiaoqiao Ding
Hui Ji
Yuhui Quan
Xiaoqun Zhang
OOD
8
5
0
01 May 2022
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for
  Superresolution
WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution
Fabian Altekrüger
J. Hertrich
25
15
0
20 Jan 2022
Early Stopping for Deep Image Prior
Early Stopping for Deep Image Prior
Hengkang Wang
Taihui Li
Zhong Zhuang
Tiancong Chen
Hengyue Liang
Ju Sun
18
62
0
11 Dec 2021
An Educated Warm Start For Deep Image Prior-Based Micro CT
  Reconstruction
An Educated Warm Start For Deep Image Prior-Based Micro CT Reconstruction
Riccardo Barbano
Johannes Leuschner
Maximilian Schmidt
Alexander Denker
A. Hauptmann
Peter Maass
Bangti Jin
29
19
0
23 Nov 2021
Graph Convolutional Networks for Model-Based Learning in Nonlinear
  Inverse Problems
Graph Convolutional Networks for Model-Based Learning in Nonlinear Inverse Problems
William Herzberg
D. Rowe
A. Hauptmann
S. Hamilton
GNN
MedIm
AI4CE
16
33
0
28 Mar 2021
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Learning Multiscale Convolutional Dictionaries for Image Reconstruction
Tianlin Liu
Anadi Chaman
David Belius
Ivan Dokmanić
19
27
0
25 Nov 2020
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of
  Generative Model
Iterative Reconstruction for Low-Dose CT using Deep Gradient Priors of Generative Model
Zhuonan He
Yikun Zhang
Yu Guan
S. Niu
Yi Zhang
Yang Chen
Qiegen Liu
DiffM
MedIm
25
12
0
27 Sep 2020
One-dimensional Deep Image Prior for Time Series Inverse Problems
One-dimensional Deep Image Prior for Time Series Inverse Problems
Sriram Ravula
A. Dimakis
40
7
0
18 Apr 2019
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