Noise‐augmented deep denoising: A method to boost CT image denoising networks

Providing additional simulated noise realizations helps to significantly improve the performance of CT image denoising networks.

Authors

Institutions

Publication Details

Journal
Medical Physics
Published
2025-09-23
DOI
https://doi.org/10.1002/mp.18121
Citations
1
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.36

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Noise‐augmented deep denoising: A method to boost CT image denoising networks

Marc Kachelrieß, Elias Eulig, Gernot Kristof
1 citations
Medical Physics
Medical Imaging Techniques and Applications
1.36
article

Noise‐augmented deep denoising: A method to boost CT image denoising networks

Marc Kachelrieß, Elias Eulig, Gernot Kristof
article en
1 citations

Abstract

Providing additional simulated noise realizations helps to significantly improve the performance of CT image denoising networks.

Medical PhysicsVol. 52(10)
German Cancer Research Center (DE), Heidelberg University (DE), University Hospital Heidelberg (DE)
Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz
Openalex Percentile: Top 16%
Medical Imaging Techniques and Applications
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.