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Deep network series for large-scale high-dynamic range imaging
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Deep network series for large-scale high-dynamic range imaging

Amir Aghabiglou
Matthieu Terris
A. Jackson
Yves Wiaux
ArXiv (abs)PDFHTML

Papers citing "Deep network series for large-scale high-dynamic range imaging"

4 / 4 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
83
0
0
12 Mar 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Matthieu Terris
Samuel Hurault
Maxime Song
Julian Tachella
MedImDiffM
136
4
0
11 Mar 2025
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
45
1
0
26 Mar 2024
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
Model-corrected learned primal-dual models for fast limited-view photoacoustic tomography
A. Hauptmann
Jenni Poimala
MedIm
74
5
0
04 Apr 2023