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LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT
30 July 2017
Hu Chen
Yi Zhang
Yunjin Chen
Junfeng Zhang
Wei-hua Zhang
Huaiqiang Sun
Kun He
Peixi Liao
Jiliu Zhou
Ge Wang
OOD
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Papers citing
"LEARN: Learned Experts' Assessment-based Reconstruction Network for Sparse-data CT"
7 / 7 papers shown
Title
Generative Modeling in Sinogram Domain for Sparse-view CT Reconstruction
Bing Guan
Cailian Yang
Liu Zhang
S. Niu
Minghui Zhang
Yuhao Wang
Weiwen Wu
Qiegen Liu
DiffM
MedIm
92
44
0
25 Nov 2022
NAF: Neural Attenuation Fields for Sparse-View CBCT Reconstruction
Ruyi Zha
Yanhao Zhang
Hongdong Li
79
94
0
29 Sep 2022
Small Sample Learning in Big Data Era
Jun Shu
Zongben Xu
Deyu Meng
101
72
0
14 Aug 2018
DeepPET: A deep encoder-decoder network for directly solving the PET reconstruction inverse problem
I. Haeggstroem
C. Schmidtlein
Gabriele Campanella
Thomas J. Fuchs
ViT
MedIm
62
256
0
20 Apr 2018
Convolutional Analysis Operator Learning: Acceleration and Convergence
Il Yong Chun
Jeffrey A. Fessler
107
47
0
15 Feb 2018
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
62
291
0
31 Aug 2017
Framing U-Net via Deep Convolutional Framelets: Application to Sparse-view CT
Yoseob Han
J. C. Ye
85
521
0
28 Aug 2017
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