INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT-Reference-Cited by-同舟云学术

INSIDEnet: Interpretable NonexpanSIve Data‐Efficient network for denoising in grating interferometry breast CT

Published:2022-03-24 Issue:6 Volume:49 Page:3729-3748
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Medical Physics

Author:

van Gogh Stefano¹²,Wang Zhentian³⁴,Rawlik Michał¹²,Etmann Christian⁵,Mukherjee Subhadip⁵,Schönlieb Carola‐Bibiane⁵,Angst Florian⁶,Boss Andreas⁶,Stampanoni Marco¹²

Affiliation:

1. Photon Science Division X‐Ray Tomography Group Paul Scherrer Institute Villigen PSI Switzerland

2. Department for Electrical Engineering and Information Technology X‐Ray Tomography Group ETH Zürich Zürich Switzerland

3. Department of Engineering Physics Tsinghua University Haidian District Beijing China

4. Key Laboratory of Particle & Radiation Imaging (Tsinghua University) of Ministry of Education Haidian District Beijing China

5. Cambridge Image Analysis Group Centre for Mathematical Sciences University of Cambridge Cambridge United Kingdom

6. Institute for Diagnostic and Interventional Radiology University Hospital Zürich Zürich Switzerland

Funder

Promedica Stiftung

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.15595

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4. Lesion detectability and radiation dose in spiral breast CT with photon‐counting detector technology: a phantom study;Shim S;Invest Radiol,2020

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