Image quality improvement in cone-beam CT using deep learning-Reference-Cited by-同舟云学术

Image quality improvement in cone-beam CT using deep learning

Published:2019-03-01 Issue: Volume: Page:
ISSN:
Container-title:Medical Imaging 2019: Physics of Medical Imaging
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Author:

Lei Yang,Wang Tonghe,Harms Joseph,Shafai-Erfani Ghazal,Dong Xue,Tang Xiangyang,Liu Tian,Curran Walter J.,Higgins Kristin,Zhou Jun,Patel Pretesh,Yang Xiaofeng

Publisher

SPIE

Reference21 articles.

1. A patch-based CBCT scatter artifact correction using prior CT

2. Spatial non-uniformity of excitation-contraction coupling can enhance arrhythmogenic-delayed afterdepolarizations in rat cardiac muscle

3. A Patch-based CBCT Scatter Artifact Correction Using Prior CT;Yang,2017

4. Machine-Learning-Based Classification of Glioblastoma Using Dynamic Susceptibility Enhanced MR Image Derived Delta-Radiomic Features;Jeong;MEDICAL PHYSICS,2018

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