Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization

Authors

Nils F. Grauhan
Jens Döge (ORCID: https://orcid.org/0000-0002-2891-984X)
Mohamed I. A. Othman (ORCID: https://orcid.org/0000-0002-0405-8918)
Andrea Kronfeld (ORCID: https://orcid.org/0000-0003-1814-5649)
Antoine Sanner (ORCID: https://orcid.org/0000-0002-4917-9529)
Lavinia Brockstedt
Marc Alexander Brockmann (ORCID: https://orcid.org/0000-0002-4514-4468)
Mario Alberto Abello Mercado

Institutions

Johannes Gutenberg University Mainz (DE)
University Medical Center of the Johannes Gutenberg University Mainz (DE)

Publication Details

Journal: Academic Radiology
Published: 2025-02-24
DOI: https://doi.org/10.1016/j.acra.2025.02.002
Primary Topic: Medical Imaging Techniques and Applications
Type: article
Field-Weighted Citation Impact: 0.00

Funders

Canon Medical Systems Corporation

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article

Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization

Nils F. Grauhan, Jens Döge, Mohamed I. A. Othman, Andrea Kronfeld et al.

Feb 24, 2025

Academic Radiology

Medical Imaging Techniques and Applications

article

Deep Learning-Enhanced Ultra-high-resolution CT Imaging for Superior Temporal Bone Visualization

Nils F. Grauhan, Jens Döge, Mohamed I. A. Othman, Andrea Kronfeld, Antoine Sanner, Lavinia Brockstedt, Marc Alexander Brockmann, Mario Alberto Abello Mercado

February 24, 2025article en

Abstract

No abstract available for this paper.

Academic RadiologyVol. 32(6)

Johannes Gutenberg University Mainz (DE), University Medical Center of the Johannes Gutenberg University Mainz (DE)

Canon Medical Systems Corporation

Openalex Percentile: Top 95%

Medical Imaging Techniques and Applications

DOI Open Access PDF OpenAlex

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