Author

Vu Thuy Khanh Le-Trilling

Essen University HospitalORCID 0000-0002-2733-3732Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Approach:experimental assay· 1 Research Focus:host-pathogen & immune response· 1 Organism:human· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

Corinna SchuleriD· 2 shared Mirko TrillingiD· 2 shared Alexandra LöweiD· 1 shared Anne Kauter· 1 shared Antonia Belter· 1 shared Barbara SitekiD· 1 shared Benjamin Katschinski· 1 shared Christian SiebeniD· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Corinna SchulerORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJan 15, 2026

Label-free detection of individual virus-infected cells using deep learning

Juliane Pfeil, Corinna Schuler, Eva Müller…·Nils Körber

This paper introduces a deep learning model to identify virus-infected cells from light microscopy images without using labels or stains, achieving up to 96% classification accuracy.

DOI 10.64898/2026.01.15.699499

imagingdeep learning

𝕏 PostBluesky

ImmunologybioRxivPreprintOct 17, 2023

The human cytomegalovirus-encoded pUS28 antagonizes CD4+ T-cell recognition by targeting CIITA

Fabienne Maaßen, Vu Thuy Khanh Le-Trilling, Luisa Betke…·Mirko Trilling

This study identifies pUS28 as a viral protein that inhibits CIITA-driven HLA-II expression, thereby blocking CD4+ T-cell recognition of HCMV-infected cells.

DOI 10.1101/2023.10.17.562683

humanproteomics

𝕏 PostBluesky