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
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
|
|
|