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
Latent space reconstruction for missing data problems in CT
Latent space reconstruction for missing data problems in CT
Fuente:
Wiley Open Access
Saved in:
Bibliographic Details
Main Authors:
Anton Kabelac
,
Elias Eulig
,
Joscha Maier
,
Maximilian Hammermann
,
Michael Knaup
,
Marc Kachelrieß
Format:
Artículo Open Access
Published:
Wiley
2025
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.17910
Similar Items
Reconstructing and analyzing the invariances of low‐dose CT image denoising networks
by: Elias Eulig, et al.
Published: (2024)
Training of a deep learning based digital subtraction angiography method using synthetic data
by: Lizhen Duan, et al.
Published: (2024)
Benchmarking Deep Learning-Based Low-Dose CT Image Denoising Algorithms
by: Eulig, Elias, et al.
Published: (2024)
Benchmarking deep learning‐based low‐dose CT image denoising algorithms
by: Elias Eulig, et al.
Published: (2024)
Deep learning‐based cone‐beam CT motion compensation with single‐view temporal resolution
by: Joscha Maier, et al.
Published: (2025)