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The R2D2 deep neural network series paradigm for fast precision imaging
  in radio astronomy

The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy

8 March 2024
Amir Aghabiglou
Chung San Chu
A. Dabbech
Yves Wiaux
ArXivPDFHTML

Papers citing "The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy"

3 / 3 papers shown
Title
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging
Yiwei Chen
Amir Aghabiglou
Shijie Chen
Motahare Torki
Chao Tang
Ruud B. van Heeswijk
Yves Wiaux
56
0
0
12 Mar 2025
R2D2 image reconstruction with model uncertainty quantification in radio
  astronomy
R2D2 image reconstruction with model uncertainty quantification in radio astronomy
Amir Aghabiglou
Chung San Chu
A. Dabbech
Yves Wiaux
21
0
0
26 Mar 2024
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2
Scalable Non-Cartesian Magnetic Resonance Imaging with R2D2
Yiwei Chen
Chao Tang
Amir Aghabiglou
Chung San Chu
Yves Wiaux
19
1
0
26 Mar 2024
1