Author

Dirk Verschuren

Ghent UniversityORCID 0000-0002-9116-5446Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Assay:imaging· 1

Frequent Co-Authors

F. Alayne Street‐PerrottiD· 1 shared Marc‐Élie AdaïméiD· 1 shared Michael Allen UrbaniD· 1 shared Shu KongiD· 1 shared Surangi W. PunyasenaiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

5 top collaborators · 10 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 paperPlant Biology

F. Alayne Street‐PerrottORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Deep learning of fossil pollen morphology reveals 25,000 years of ecological change in East African grasslands

Marc‐Élie Adaïmé, Shu Kong, Michael Allen Urban, F. Alayne Street‐Perrott, Dirk Verschuren, Surangi W. Punyasena

This paper uses deep learning to analyze fossil grass pollen morphology and reconstruct 25,000 years of ecological change in East African grasslands, showing reduced diversity and shifts in C3:C4 ratios during the last ice age.

Proceedings of the National Academy of Sciences · Oct 2, 2026Peer-reviewedPlant Biology