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Need for Objective Task-based Evaluation of Deep Learning-Based
  Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT

Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT

3 March 2023
Zitong Yu
Md Ashequr Rahman
Richard Laforest
T. Schindler
R. Gropler
R. Wahl
Barry A. Siegel
Abhinav K. Jha
    MedIm
ArXivPDFHTML

Papers citing "Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT"

11 / 11 papers shown
Title
Investigating the limited performance of a deep-learning-based SPECT
  denoising approach: An observer-study-based characterization
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Zitong Yu
Md Ashequr Rahman
Abhinav K. Jha
35
12
0
03 Mar 2022
Deep neural networks-based denoising models for CT imaging and their
  efficacy
Deep neural networks-based denoising models for CT imaging and their efficacy
Prabhat Kc
R. Zeng
M. M. Farhangi
Kyle J. Myers
19
20
0
18 Nov 2021
Impact of deep learning-based image super-resolution on binary signal
  detection
Impact of deep learning-based image super-resolution on binary signal detection
Xiaohui Zhang
Varun A. Kelkar
Jason L. Granstedt
Hua Li
M. Anastasio
MedIm
37
23
0
06 Jul 2021
Deep Learning for Low-Dose CT Denoising
Deep Learning for Low-Dose CT Denoising
Maryam Gholizadeh-Ansari
J. Alirezaie
P. Babyn
MedIm
34
115
0
25 Feb 2019
Compressed Sensing MRI Reconstruction using a Generative Adversarial
  Network with a Cyclic Loss
Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss
Tran Minh Quan
Thanh Nguyen-Duc
W. Jeong
GAN
MedIm
78
540
0
03 Sep 2017
Low Dose CT Image Denoising Using a Generative Adversarial Network with
  Wasserstein Distance and Perceptual Loss
Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss
Qingsong Yang
Pingkun Yan
Yanbo Zhang
Hengyong Yu
Yongyi Shi
X. Mou
Mannudeep K. Kalra
Ge Wang
GAN
MedIm
61
1,193
0
03 Aug 2017
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image
  Denoising
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising
Dufan Wu
Kyungsang Kim
Xiaofeng Liu
Quanzheng Li
MedIm
OOD
81
65
0
11 May 2017
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network
  (RED-CNN)
Low-Dose CT with a Residual Encoder-Decoder Convolutional Neural Network (RED-CNN)
Hu Chen
Yi Zhang
Mannudeep K. Kalra
Feng Lin
Yang Chen
Peixi Liao
Jiliu Zhou
Ge Wang
MedIm
100
1,299
0
01 Feb 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.6K
192,638
0
10 Dec 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
1.3K
76,547
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.1K
149,474
0
22 Dec 2014
1