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. 1704.04058
  4. Cited By
Solving ill-posed inverse problems using iterative deep neural networks
v1v2 (latest)

Solving ill-posed inverse problems using iterative deep neural networks

13 April 2017
J. Adler
Ozan Oktem
ArXiv (abs)PDFHTML

Papers citing "Solving ill-posed inverse problems using iterative deep neural networks"

12 / 212 papers shown
Title
Random mesh projectors for inverse problems
Random mesh projectors for inverse problems
Sidharth Gupta
K. Kothari
Maarten V. de Hoop
Ivan Dokmanić
75
16
0
29 May 2018
Adversarial Regularizers in Inverse Problems
Adversarial Regularizers in Inverse Problems
Sebastian Lunz
Ozan Oktem
Carola-Bibiane Schönlieb
GANMedIm
118
221
0
29 May 2018
NETT: Solving Inverse Problems with Deep Neural Networks
NETT: Solving Inverse Problems with Deep Neural Networks
Housen Li
Johannes Schwab
Stephan Antholzer
Markus Haltmeier
97
245
0
28 Feb 2018
Convolutional Recurrent Neural Networks for Dynamic MR Image
  Reconstruction
Convolutional Recurrent Neural Networks for Dynamic MR Image Reconstruction
C. Qin
Jo Schlemper
Jose Caballero
Anthony N. Price
Joseph V. Hajnal
Daniel Rueckert
MedIm
115
501
0
05 Dec 2017
InverseNet: Solving Inverse Problems with Splitting Networks
InverseNet: Solving Inverse Problems with Splitting Networks
Kai Fan
Qinglai Wei
Wenlin Wang
Amit Chakraborty
Katherine A. Heller
64
8
0
01 Dec 2017
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep
  Neural Networks
Deep D-bar: Real time Electrical Impedance Tomography Imaging with Deep Neural Networks
S. Hamilton
A. Hauptmann
91
256
0
08 Nov 2017
Learning to solve inverse problems using Wasserstein loss
Learning to solve inverse problems using Wasserstein loss
J. Adler
Axel Ringh
Ozan Oktem
Johan Karlsson
68
38
0
30 Oct 2017
An inner-loop free solution to inverse problems using deep neural
  networks
An inner-loop free solution to inverse problems using deep neural networks
Qinglai Wei
Kai Fan
Lawrence Carin
Katherine A. Heller
85
21
0
06 Sep 2017
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
CNN-Based Projected Gradient Descent for Consistent Image Reconstruction
Harshit Gupta
Kyong Hwan Jin
H. Nguyen
Michael T. McCann
M. Unser
3DV
123
367
0
06 Sep 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
62
291
0
31 Aug 2017
Learned Primal-dual Reconstruction
Learned Primal-dual Reconstruction
J. Adler
Ozan Oktem
MedIm
89
754
0
20 Jul 2017
One Network to Solve Them All --- Solving Linear Inverse Problems using
  Deep Projection Models
One Network to Solve Them All --- Solving Linear Inverse Problems using Deep Projection Models
Jen-Hao Rick Chang
Chun-Liang Li
Barnabás Póczós
B. Kumar
Aswin C. Sankaranarayanan
78
348
0
29 Mar 2017
Previous
12345