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AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound
  Imaging for Medical Ultrasound

AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound

4 July 2022
Farnaz Khun Jush
M. Biele
P. Dueppenbecker
Andreas Maier
    OOD
ArXiv (abs)PDFHTML

Papers citing "AutoSpeed: A Linked Autoencoder Approach for Pulse-Echo Speed-of-Sound Imaging for Medical Ultrasound"

6 / 6 papers shown
Title
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of
  Training Data Diversity on Stability and Robustness
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness
Farnaz Khun Jush
M. Biele
P. Dueppenbecker
Andreas Maier
OOD
24
15
0
01 Feb 2022
A Divide-and-Conquer Approach towards Understanding Deep Networks
A Divide-and-Conquer Approach towards Understanding Deep Networks
Weilin Fu
Katharina Breininger
Roman Schaffert
Nishant Ravikumar
Andreas Maier
SSeg
40
19
0
14 Jul 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
59
605
0
14 Feb 2019
Image reconstruction by domain transform manifold learning
Image reconstruction by domain transform manifold learning
Bo Zhu
Jeremiah Zhe Liu
Bruce Rosen
Matthew S. Rosen
96
1,534
0
28 Apr 2017
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
142
2,913
0
05 May 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
278
12,458
0
24 Jun 2012
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