Noise gate: a physics-driven control method for deep learning denoising in x-ray imaging

Author:

Herbst Magdalena,Beister Marcel,Dwars Stephan,Eckert Dominik,Ritschl Ludwig,Syben Christopher,Kappler Steffen

Publisher

SPIE

Reference8 articles.

1. Iterative reconstruction in image spaced using a raw data based non-isotropic noise model;Bruder;Talk at European Congress of Radiology,2011

2. Translation of statistical iterative reconstruction into non-linear image processing;Bruder;Talk at European Congress of Radiology,2011

3. The Transformation of Poisson, Binomial and Negative-Binomial Data

4. Learning-based x-ray image denoising utilizing model-based image simulations;Hariharan,2019

5. One-view breast tomosynthesis versus two-view mammography in the Malmö Breast Tomosynthesis Screening Trial (MBTST): a prospective, population-based, diagnostic accuracy study

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1. Fast wide-angle DBT with high in-plane resolution: system concept and first clinical results;17th International Workshop on Breast Imaging (IWBI 2024);2024-05-29

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