ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.14142
  4. Cited By
Perception Consistency Ultrasound Image Super-resolution via
  Self-supervised CycleGAN

Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN

28 December 2020
Heng Liu
Jianyong Liu
Tao Tao
Shudong Hou
Jungong Han
    SupR
    MedIm
ArXivPDFHTML

Papers citing "Perception Consistency Ultrasound Image Super-resolution via Self-supervised CycleGAN"

15 / 15 papers shown
Title
Generative Adversarial Networks
Generative Adversarial Networks
Gilad Cohen
Raja Giryes
GAN
141
30,021
0
01 Mar 2022
Medical image super-resolution method based on dense blended attention
  network
Medical image super-resolution method based on dense blended attention network
Kewen Liu
Yuan Ma
Hongxia Xiong
Zejun Yan
Zhijun Zhou
Panpan Fang
Chaoyang Liu
SupR
MedIm
22
9
0
13 May 2019
How Can We Make GAN Perform Better in Single Medical Image
  Super-Resolution? A Lesion Focused Multi-Scale Approach
How Can We Make GAN Perform Better in Single Medical Image Super-Resolution? A Lesion Focused Multi-Scale Approach
Jin Zhu
Guang Yang
Pietro Lio
GAN
MedIm
37
70
0
10 Jan 2019
To learn image super-resolution, use a GAN to learn how to do image
  degradation first
To learn image super-resolution, use a GAN to learn how to do image degradation first
Adrian Bulat
J. Yang
Georgios Tzimiropoulos
SupR
51
351
0
30 Jul 2018
"Zero-Shot" Super-Resolution using Deep Internal Learning
"Zero-Shot" Super-Resolution using Deep Internal Learning
Assaf Shocher
Nadav Cohen
Michal Irani
SupR
69
853
0
17 Dec 2017
The Perception-Distortion Tradeoff
The Perception-Distortion Tradeoff
Yochai Blau
T. Michaeli
SupR
114
807
0
16 Nov 2017
Enhanced Deep Residual Networks for Single Image Super-Resolution
Enhanced Deep Residual Networks for Single Image Super-Resolution
Bee Lim
Sanghyun Son
Heewon Kim
Seungjun Nah
Kyoung Mu Lee
SupR
138
5,871
0
10 Jul 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
96
5,556
0
30 Mar 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
72
1,800
0
22 Dec 2016
Image-to-Image Translation with Conditional Adversarial Networks
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola
Jun-Yan Zhu
Tinghui Zhou
Alexei A. Efros
SSeg
280
19,560
0
21 Nov 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
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
229
10,646
0
15 Sep 2016
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Accurate Image Super-Resolution Using Very Deep Convolutional Networks
Jiwon Kim
Jung Kwon Lee
Kyoung Mu Lee
SupR
93
6,164
0
14 Nov 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.2K
76,547
0
18 May 2015
Image Super-Resolution Using Deep Convolutional Networks
Image Super-Resolution Using Deep Convolutional Networks
Chao Dong
Chen Change Loy
Kaiming He
Xiaoou Tang
SupR
106
8,048
0
31 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
923
99,991
0
04 Sep 2014
1