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SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction

SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction

Zhipeng Li
Siqi Ye
Y. Long
S. Ravishankar
    OOD
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Papers citing "SUPER Learning: A Supervised-Unsupervised Framework for Low-Dose CT Image Reconstruction"

3 / 3 papers shown
Title
Supervised Reconstruction for Silhouette Tomography
Supervised Reconstruction for Silhouette Tomography
Evan Bell
Michael T. McCann
M. Klasky
29
0
0
11 Feb 2024
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
Model-based Reconstruction with Learning: From Unsupervised to Supervised and Beyond
Zhishen Huang
Siqi Ye
Michael T. McCann
S. Ravishankar
MedIm
51
10
0
26 Mar 2021
Shared Prior Learning of Energy-Based Models for Image Reconstruction
Shared Prior Learning of Energy-Based Models for Image Reconstruction
Thomas Pinetz
Erich Kobler
Thomas Pock
Alexander Effland
DiffM
51
4
0
12 Nov 2020