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. 2211.15456
  4. Cited By
Noise-resilient approach for deep tomographic imaging

Noise-resilient approach for deep tomographic imaging

22 November 2022
Zhen Guo
Zhiguang Liu
Qihang Zhang
George Barbastathis
M. Glinsky
ArXiv (abs)PDFHTML

Papers citing "Noise-resilient approach for deep tomographic imaging"

5 / 5 papers shown
Title
Physics-assisted Generative Adversarial Network for X-Ray Tomography
Physics-assisted Generative Adversarial Network for X-Ray Tomography
Zhen Guo
J. Song
George Barbastathis
M. Glinsky
C. Vaughan
K. Larson
B. Alpert
Z. Levine
GANMedIm
53
9
0
07 Apr 2022
Limited-angle tomographic reconstruction of dense layered objects by
  dynamical machine learning
Limited-angle tomographic reconstruction of dense layered objects by dynamical machine learning
Iksung Kang
A. Goy
George Barbastathis
AI4CE
30
19
0
21 Jul 2020
On instabilities of deep learning in image reconstruction - Does AI come
  at a cost?
On instabilities of deep learning in image reconstruction - Does AI come at a cost?
Vegard Antun
F. Renna
C. Poon
Ben Adcock
A. Hansen
56
603
0
14 Feb 2019
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
71
2,119
0
11 Nov 2016
Group Invariant Scattering
Group Invariant Scattering
S. Mallat
123
991
0
12 Jan 2011
1