Franziska Müller
ORCID: 0000-0002-1618-5586Also affiliated with Chemnitz University of Technology
Social SciencesAgricultural and Biological SciencesEngineeringMedicine
Pilot corpus only
This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.
Top 100%percentile
Indexed papers
0in pilot corpus
Papers
Driven by 3 papers. Top paper: “CT Scout Scans with Deep Learning for Ultra-low Dose Attenuation Correction in PET”.
CT Scout Scans with Deep Learning for Ultra-low Dose Attenuation Correction in PET
Ghent University Academic Bibliography (Ghent University)(2024)10.1109/nss/mic/rtsd57108.2024.10658404
N/A
0 citations
Margaret E. Daube-Witherspoon, L.P. Liu, Michael J. Parma, Amy E. Perkins, E. Li +6 more
Deep Learning-Based Attenuation Correction in TOF-PET Using Histo-Image Data Partitioning and Dual-View Scout Images
Ghent University Academic Bibliography (Ghent University)(2025)10.1109/nss/mic/rtsd57106.2025.11286959
N/A
0 citations
Margaret E. Daube-Witherspoon, Michael J. Parma, Samuel Matej, J. Raj, Peter B. Noël +4 more
Sensitivity-Weighting Methods in Reconstruction and Denoising for Axially Sparse Long Axial Field-of-View PET: A Lesion Embedding Study
Ghent University Academic Bibliography (Ghent University)(2025)10.1109/nss/mic/rtsd57106.2025.11286486
N/A
0 citations
Margaret E. Daube-Witherspoon, Suleman Surti, Bing Tian Dai, Mingchen Gao, Christian Vanhove +3 more