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Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute
  Imaging with Electrical Impedance Tomography (a-EIT)

Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)

30 November 2018
S. Hamilton
A. Hänninen
A. Hauptmann
V. Kolehmainen
ArXivPDFHTML

Papers citing "Beltrami-Net: Domain Independent Deep D-bar Learning for Absolute Imaging with Electrical Impedance Tomography (a-EIT)"

14 / 14 papers shown
Title
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
A Two-Stage Imaging Framework Combining CNN and Physics-Informed Neural Networks for Full-Inverse Tomography: A Case Study in Electrical Impedance Tomography (EIT)
Xu Yang
Yangming Zhang
Haofeng Chen
Gang Ma
Xiaojie Wang
56
1
0
25 Jul 2024
Optimizing electrode positions in 2D Electrical Impedance Tomography
  using deep learning
Optimizing electrode positions in 2D Electrical Impedance Tomography using deep learning
D. Smyl
Dong Liu
138
34
0
21 Oct 2019
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
51
603
0
14 Feb 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
70
183
0
14 Mar 2018
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
77
256
0
08 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
41
291
0
31 Aug 2017
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
91
1,533
0
28 Apr 2017
Deep Learning for Photoacoustic Tomography from Sparse Data
Deep Learning for Photoacoustic Tomography from Sparse Data
Stephan Antholzer
Markus Haltmeier
Johannes Schwab
55
248
0
15 Apr 2017
Solving ill-posed inverse problems using iterative deep neural networks
Solving ill-posed inverse problems using iterative deep neural networks
J. Adler
Ozan Oktem
83
617
0
13 Apr 2017
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image
  Reconstruction
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction
Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
77
1,131
0
08 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
67
1,541
0
03 Apr 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
68
2,118
0
11 Nov 2016
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
70
764
0
31 Oct 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
1