Performance Evaluation of Super-Resolution Methods Using Deep-Learning and Sparse-Coding for Improving the Image Quality of Magnified Images in Chest Radiographs

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ISSN Print: 2164-2788
ISSN Online: 2164-2796
www.scirp.org/journal/ojmi
E-mail: ojmi@scirp.org

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"Performance Evaluation of Super-Resolution Methods Using Deep-Learning and Sparse-Coding for Improving the Image Quality of Magnified Images in Chest Radiographs"
written by Kensuke Umehara, Junko Ota, Naoki Ishimaru, Shunsuke Ohno, Kentaro Okamoto, Takanori Suzuki, Takayuki Ishida,
published by Open Journal of Medical Imaging, Vol.7 No.3, 2017

has been cited by the following article(s):

[1]	A Super-resolution-based Approach for the Detection of Covid—19 Infection From Chest X-ray Images
	Resonance, 2023

[2]	Volume Subtraction Method Using Dual Reconstruction and Additive Technique for Pulmonary Artery/Vein 3DCT Angiography
	Journal of Medical …, 2022

[3]	Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians
	2020

[4]	Chest X-ray images super-resolution reconstruction via recursive neural network
	2020

[5]	Application of super-resolution convolutional neural network for enhancing image resolution in chest CT
	Journal of Digital Imaging, 2018

[6]	Super-Resolution Imaging of Mammograms Based on the Super-Resolution Convolutional Neural Network
	2017

[1]	A Super-resolution-based Approach for the Detection of Covid—19 Infection From Chest X-ray Images Resonance, 2023 DOI:10.1007/s12045-023-1530-7

[2]	Super-Resolution of Dental Panoramic Radiographs Using Deep Learning: A Pilot Study Diagnostics, 2023 DOI:10.3390/diagnostics13050996

[3]	Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians Journal of Magnetic Resonance Imaging, 2021 DOI:10.1002/jmri.27078

[4]	Chest X-ray images super-resolution reconstruction via recursive neural network Multimedia Tools and Applications, 2021 DOI:10.1007/s11042-020-09773-x

[5]	Artificial Intelligence for MR Image Reconstruction: An Overview for Clinicians Journal of Magnetic Resonance Imaging, 2020 DOI:10.1002/jmri.27078

[6]	1. Deep Learning Super-resolution in Medical Imaging: What Is It and How to Use It Japanese Journal of Radiological Technology, 2020 DOI:10.6009/jjrt.2020_JSRT_76.5.524

[7]	Application of Super-Resolution Convolutional Neural Network for Enhancing Image Resolution in Chest CT Journal of Digital Imaging, 2018 DOI:10.1007/s10278-017-0033-z

[8]	Super-Resolution Imaging of Mammograms Based on the Super-Resolution Convolutional Neural Network Open Journal of Medical Imaging, 2017 DOI:10.4236/ojmi.2017.74018

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