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On Learned Operator Correction in Inverse Problems

On Learned Operator Correction in Inverse Problems

14 May 2020
Sebastian Lunz
A. Hauptmann
T. Tarvainen
Carola-Bibiane Schönlieb
Simon Arridge
ArXivPDFHTML

Papers citing "On Learned Operator Correction in Inverse Problems"

4 / 4 papers shown
Title
Multi-Scale Learned Iterative Reconstruction
Multi-Scale Learned Iterative Reconstruction
A. Hauptmann
J. Adler
Simon Arridge
Ozan Oktem
50
37
0
01 Aug 2019
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression
  using Deep Learning - Proof of Concept in Congenital Heart Disease
Real-time Cardiovascular MR with Spatio-temporal Artifact Suppression using Deep Learning - Proof of Concept in Congenital Heart Disease
A. Hauptmann
Simon Arridge
F. Lucka
V. Muthurangu
J. Steeden
53
181
0
14 Mar 2018
Deep Learning for Photoacoustic Tomography from Sparse Data
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
49
248
0
15 Apr 2017
A deep convolutional neural network using directional wavelets for
  low-dose X-ray CT reconstruction
A deep convolutional neural network using directional wavelets for low-dose X-ray CT reconstruction
Eunhee Kang
Junhong Min
J. C. Ye
OOD
MedIm
55
763
0
31 Oct 2016
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