Background Normalization
Background Normalization is a methodological technique in signal or image processing that standardizes background data across samples or measurements to minimize non-biological or non-informative variability while preserving meaningful signal differences.
149
Publications
15.9K
Citations
557
Authors
247
Institutions
Publications per year
2017–2026
34
Parents
149
1–5 of 149
557
6
h-index
3
h-index
3
h-index
3
h-index
2
h-index
1–5 of 557
247

La Rochelle Université
La Rochelle, France
6 h-index
10 publications
1.8K citations
Laboratoire Mathématiques, Image et Applications
La Rochelle, France
3 h-index
5 publications
1.3K citations
University of Illinois Urbana-Champaign
Urbana, United States
3 h-index
5 publications
200 citations

Centre National de la Recherche Scientifique
Paris, France
3 h-index
10 publications
252 citations
Stony Brook University
Stony Brook, United States
3 h-index
4 publications
120 citations
Istituto Nazionale di Fisica Nucleare, Sezione di Padova
Padua, Italy
3 h-index
4 publications
111 citations

University of Calabria
Rende, Italy
2 h-index
2 publications
28 citations
The University of Texas MD Anderson Cancer Center
Houston, United States
2 h-index
14 publications
752 citations
1–8 of 247
4 publications · 223 citations
4
h-index
4 publications · 167 citations
4
h-index
Repository · 4 publications · 155 citations
4
h-index
3 publications · 838 citations
3
h-index
3 publications · 74 citations
3
h-index
1–5