Author

Ramsey Cutress

Primary ORCID profile (0000-0002-1719-7255 · 1 paper)Unclaimed ORCID profile · follow to get notified of new preprints

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Same name, identified by ORCID

Ramsey CutressiD1 paper · University of Southampton

Biology Disciplines

Click to filter author papers

Cell Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Constantinos SavvaiD· 1 shared Ewan Reed· 1 shared Jiaoqi Cheng· 1 shared Keqiang Fan· 1 shared Mengyang Gou· 1 shared Miles Bailey· 1 shared Peixin Zuo· 1 shared Rajesh JenaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCell Biology

Constantinos SavvaORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

CenSegNet: a generalist high-throughput deep learning framework for centrosome phenotyping at spatial and single-cell resolution in heterogeneous tissues

Jiaoqi Cheng, Keqiang Fan, Miles Bailey, Xin Du, Rajesh Jena, Constantinos Savva, Ewan Reed, Mengyang Gou, Peixin Zuo, Ramsey Cutress, Stephen Beers, Xiaohao Cai, Salah Élias

CenSegNet quantifies centrosome abnormalities in breast cancer tissues at single-cell resolution, revealing subtype-specific associations with clinical and genomic features.

DOAJ (DOAJ: Directory of Open Access Journals) · Jul 1, 2026Peer-reviewedCell Biology