Author

Phillip Nicholas Blondeel

Ghent University HospitalORCID 0000-0002-9236-4068Unclaimed 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 Research Focus:clustering· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Organism:mouse· 1 Research Focus:spatial domain detection· 1 Assay:spatial transcriptomics· 1

Frequent Co-Authors

Angeliki VavladeliiD· 1 shared Bart N. LambrechtiD· 1 shared Bram VerstappeiD· 1 shared Charlotte L. ScottiD· 1 shared Claudia M. Brenis GomeziD· 1 shared Esther HosteiD· 1 shared Fabian F. VoigtiD· 1 shared Fritjof HelmcheniD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperCancer Biology

Angeliki VavladeliORCID

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Author profile →

1 paper

Recent·Most cited

Deep learning enables feature extraction of 3D collagen architecture in cleared fibrotic tissues

Wout Houbart, Laura Schelfaut, Angeliki Vavladeli, Noah Borges, Marthe Boelens, Claudia M. Brenis Gomez, Bram Verstappe, Mohammad Ghiasloo, Nikita Vladimirov, Phillip Nicholas Blondeel, Charlotte L. Scott, Fabian F. Voigt, Bart N. Lambrecht, Fritjof Helmchen, Esther Hoste, , Thomas Naert

The paper develops a deep learning pipeline for analyzing 3D collagen architecture in cleared fibrotic tissues using optimized clearing, imaging, and a U-Net model.

bioRxiv · Feb 26, 2026 · PreprintCancer Biology