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Deep neural networks-based denoising models for CT imaging and their
  efficacy

Deep neural networks-based denoising models for CT imaging and their efficacy

18 November 2021
Prabhat Kc
R. Zeng
M. M. Farhangi
Kyle J. Myers
ArXivPDFHTML

Papers citing "Deep neural networks-based denoising models for CT imaging and their efficacy"

2 / 2 papers shown
Title
DEMIST: A deep-learning-based task-specific denoising approach for
  myocardial perfusion SPECT
DEMIST: A deep-learning-based task-specific denoising approach for myocardial perfusion SPECT
Md Ashequr Rahman
Zitong Yu
Richard Laforest
C. Abbey
Barry A. Siegel
Abhinav K. Jha
30
3
0
07 Jun 2023
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
Zitong Yu
Md Ashequr Rahman
Richard Laforest
T. Schindler
R. Gropler
R. Wahl
Barry A. Siegel
Abhinav K. Jha
MedIm
20
22
0
03 Mar 2023
1