Author

Mehul Bafna

ORCID 0009-0001-7234-3905Unclaimed 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:deep learning· 1 Research Focus:dimensionality reduction· 1 Assay:imaging· 1 Approach:statistical model· 1

Frequent Co-Authors

Matthias KönigiD· 1 shared Mohamed AlbadryiD· 1 shared Sylvia SaalfeldiD· 1 shared Uta DahmeniD· 1 shared Václav LiškaiD· 1 shared Vladimíra MoulisováiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 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 paperBioinformatics

Matthias KönigORCID

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

BioinformaticsFrontiers in BioinformaticsPeer-reviewedApr 30, 2026

Automated Segmentation of Hepatic Vessels and Lobules in Whole-Slide Images Using U-Net Models

Mehul Bafna, Matthias König, Sylvia Saalfeld…·Mohamed Albadry

The paper develops a deep learning pipeline using U-Net models to segment hepatic vessels and lobules in histological images, achieving high Dice scores for various structures.

DOI 10.3389/fbinf.2026.1713736

imagingdeep learning

𝕏 PostBluesky