Cell Nucleus Detection
Cell Nucleus Detection is a computational image analysis task that identifies individual cell nuclei within high-resolution spatial transcriptomic or multiplexed imaging data to enable single-cell resolution mapping of gene expression in tissue architecture.
404
Publications
23.3K
Citations
1.9K
Authors
697
Institutions
Publications per year
2017–2026
181
Parents
404
Nucleus segmentation across imaging experiments: the 2018 Data Science Bowl
Juan C. Caicedo, Allen Goodman, Kyle W. Karhohs et al. · Nature Methods · 2019 · 853 citations · Full text
Star-convex Polyhedra for 3D Object Detection and Segmentation in Microscopy
2020 · 497 citations · Full text
1–5 of 404
1.9K
8
h-index
Indiana University – Purdue University Indianapolis, United States
6 publications · 219 citations
6
h-index
6
h-index
6
h-index
Indiana University – Purdue University Indianapolis, United States
5 publications · 193 citations
5
h-index
1–5 of 1.9K
697
Harvard University
Cambridge, United States
11 h-index
29 publications
3.4K citations
Heidelberg University
Heidelberg, Germany
10 h-index
41 publications
1.1K citations

University of Warwick
Coventry, United Kingdom
10 h-index
33 publications
5.7K citations
National University of Singapore
Singapore, Singapore
9 h-index
23 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
21 publications
397 citations

Broad Institute
Cambridge, United States
8 h-index
66 publications
15.6K citations
Indiana University – Purdue University Indianapolis
Indianapolis, United States
7 h-index
26 publications
929 citations
Massachusetts Institute of Technology
Cambridge, United States
6 h-index
10 publications
448 citations
1–8 of 697
Repository · 16 publications · 550 citations
15
h-index
15 publications · 1K citations
13
h-index
13 publications · 708 citations
12
h-index
11 publications · 504 citations
11
h-index
10 publications · 423 citations
10
h-index
1–5