scholarly journals Direct Attenuation Correction Using Deep Learning for Cardiac SPECT: A Feasibility Study

2021 ◽  
pp. jnumed.120.256396
Author(s):  
Jaewon Yang ◽  
Luyao Shi ◽  
Rui Wang ◽  
Edward J. Miller ◽  
Albert J. Sinusas ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Feasibility Study ◽  
Cardiac Spect

scholarly journals A deep learning approach for 18F-FDG PET attenuation correction

2018 ◽  
Vol 5 (1) ◽  
Author(s):  
Fang Liu ◽  
Hyungseok Jang ◽  
Richard Kijowski ◽  
Gengyan Zhao ◽  
Tyler Bradshaw ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Learning Approach ◽  
18F Fdg

scholarly journals Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Karim Armanious ◽  
Tobias Hepp ◽  
Thomas Küstner ◽  
Helmut Dittmann ◽  
Konstantin Nikolaou ◽  
...  
Keyword(s):  
Deep Learning ◽  
Attenuation Correction ◽  
Fdg Pet ◽  
Whole Body ◽  
Generative Adversarial Networks ◽  
Learning Approach ◽  
Adversarial Networks ◽  
18F Fdg

A novel deep-learning–based approach for automatic reorientation of 3D cardiac SPECT images

2021 ◽  
Author(s):  
Duo Zhang ◽  
P. Hendrik Pretorius ◽  
Kaixian Lin ◽  
Weibing Miao ◽  
Jingsong Li ◽  
...  
Keyword(s):  
Deep Learning ◽  
Cardiac Spect ◽  
Spect Images

Feasibility Study on Automatic Interpretation of Radiation Dose Using Deep Learning Technique for Dicentric Chromosome Assay

2020 ◽  
Vol 195 (2) ◽  
Author(s):  
Seungsoo Jang ◽  
Sung-Gyun Shin ◽  
Min-Jae Lee ◽  
Sangsoo Han ◽  
Chan-Ho Choi ◽  
...  
Keyword(s):  
Deep Learning ◽  
Radiation Dose ◽  
Feasibility Study ◽  
Dicentric Chromosome ◽  
Automatic Interpretation ◽  
Learning Technique
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