Unsupervised Super-Resolution: Creating High-Resolution Medical Images
from Low-Resolution Anisotropic Examples

Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples

25 October 2020

Ivana Išgum

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Papers citing "Unsupervised Super-Resolution: Creating High-Resolution Medical Images from Low-Resolution Anisotropic Examples"

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Title
Brain MRI Super Resolution Using 3D Deep Densely Connected Neural Networks Yuhua Chen Yibin Xie Zhengwei Zhou Feng Shi A. Christodoulou Debiao Li SupR 59 231 0 08 Jan 2018
Anatomically Constrained Neural Networks (ACNN): Application to Cardiac Image Enhancement and Segmentation Ozan Oktay Enzo Ferrante Konstantinos Kamnitsas M. Heinrich Wenjia Bai ... T. Dawes D. O’Regan Bernhard Kainz Ben Glocker Daniel Rueckert 62 658 0 22 May 2017
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network C. Ledig Lucas Theis Ferenc Huszár Jose Caballero Andrew Cunningham ... Andrew P. Aitken Alykhan Tejani J. Totz Zehan Wang Wenzhe Shi GAN 242 10,707 0 15 Sep 2016