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Sharpness-aware Low dose CT denoising using conditional generative
  adversarial network

Sharpness-aware Low dose CT denoising using conditional generative adversarial network

22 August 2017
Xin Yi
P. Babyn
    GAN
    MedIm
ArXivPDFHTML

Papers citing "Sharpness-aware Low dose CT denoising using conditional generative adversarial network"

12 / 12 papers shown
Title
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for
  Low-Dose CT Denoising and Generalization
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and Generalization
Q. Gao
Zilong Li
Junping Zhang
Yi Zhang
Hongming Shan
DiffM
MedIm
33
49
0
04 Apr 2023
Diffusion Denoising for Low-Dose-CT Model
Runyi Li
DiffM
MedIm
25
0
0
27 Jan 2023
A review of Generative Adversarial Networks for Electronic Health
  Records: applications, evaluation measures and data sources
A review of Generative Adversarial Networks for Electronic Health Records: applications, evaluation measures and data sources
Ghadeer O. Ghosheh
Jin Li
T. Zhu
35
32
0
14 Mar 2022
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based
  Discriminators for Low-Dose CT Denoising
DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising
Zhizhong Huang
Junping Zhang
Yi Zhang
Hongming Shan
MedIm
31
148
0
24 Aug 2021
Conditional Generation of Medical Images via Disentangled Adversarial
  Inference
Conditional Generation of Medical Images via Disentangled Adversarial Inference
Mohammad Havaei
Ximeng Mao
Yiping Wang
Qicheng Lao
GAN
MedIm
26
20
0
08 Dec 2020
EDCNN: Edge enhancement-based Densely Connected Network with Compound
  Loss for Low-Dose CT Denoising
EDCNN: Edge enhancement-based Densely Connected Network with Compound Loss for Low-Dose CT Denoising
Tengfei Liang
Yi Jin
Yidong Li
Tao Wang
Songhe Feng
Congyan Lang
16
94
0
30 Oct 2020
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
A. Hariri
Kamran Alipour
Yash Mantri
J. Schulze
J. Jokerst
30
64
0
19 Apr 2020
GlyphGAN: Style-Consistent Font Generation Based on Generative
  Adversarial Networks
GlyphGAN: Style-Consistent Font Generation Based on Generative Adversarial Networks
Hideaki Hayashi
K. Abe
S. Uchida
GAN
19
53
0
29 May 2019
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction
  Methods?
Can Deep Learning Outperform Modern Commercial CT Image Reconstruction Methods?
Deepak Mishra
Atul Padole
AP Prathosh
Aravind Jayendran
R. Khera
Varun Srivastava
S. Chaudhury
Ge Wang
OOD
3DV
36
322
0
08 Nov 2018
Generative Adversarial Network in Medical Imaging: A Review
Generative Adversarial Network in Medical Imaging: A Review
Xin Yi
Ekta Walia
P. Babyn
GAN
MedIm
31
1,370
0
19 Sep 2018
GANs for Medical Image Analysis
GANs for Medical Image Analysis
Salome Kazeminia
Christoph Baur
Arjan Kuijper
Bram van Ginneken
Nassir Navab
Shadi Albarqouni
Anirban Mukhopadhyay
MedIm
AI4CE
18
408
0
13 Sep 2018
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
250
3,190
0
30 Oct 2016
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