Demo Data from EDBT 2026 / reviewers in the wild / expert
Friedrich Preusser
dblp:303/2020
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2021
0000-0001-8231-2195ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer graphics and multimedia
1 paper |
Image and video coding · 50% Computational photography and imaging · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Image and video coding
image quality assessment |
0.5 | 1 | 2021 | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids · Bioinform. 2021 |
Computational photography and imaging › microscopy imaging › computational microscopy
microscopy image reconstruction |
0.5 | 1 | 2021 | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoids · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
fourier ring correlation · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | FRC-QE: a robust and comparable 3D microscopy image quality metric for cleared organoidsabstractSUMMARY: Here, we propose Fourier ring correlation-based quality estimation (FRC-QE) as a new metric for automated image quality estimation in 3D fluorescence microscopy acquisitions of cleared organoids that yields comparable measurements across experimental replicates, clearing protocols and works for different microscopy modalities. AVAILABILITY AND IMPLEMENTATION: FRC-QE is written in ImgLib2/Java and provided as an easy-to-use and macro-scriptable plugin for Fiji. Code, documentation, sample images and further information can be found under https://github.com/PreibischLab/FRC-QE. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Friedrich Preusser, Natália dos Santos, Jörg Contzen, Harald Stachelscheid, Érico Tosoni Costa, Philipp Mergenthaler, Stephan Preibisch |
Bioinform. | 1 |