Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
A new visual State Space Model for low‐dose CT denoising
A new visual State Space Model for low‐dose CT denoising
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Jiexing Huang
,
Anni Zhong
,
Yajing Wei
Format:
Artículo Open Access
Published:
Wiley
2024
Subjects:
Medical Physics
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.17387
Similar Items
Reconstructing and analyzing the invariances of low‐dose CT image denoising networks
by: Elias Eulig, et al.
Published: (2024)
A dual‐interactive fusion network for low‐dose CT image denoising
by: Jingyi Wang, et al.
Published: (2025)
Benchmarking deep learning‐based low‐dose CT image denoising algorithms
by: Elias Eulig, et al.
Published: (2024)
Diffusion probabilistic priors for zero‐shot low‐dose CT image denoising
by: Xuan Liu, et al.
Published: (2024)
Noise‐assisted hybrid attention networks for low‐dose PET and CT denoising
by: Hengzhi Xue, et al.
Published: (2024)