Author

A. Vigdorovits

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

Biology Disciplines

Click to filter author papers

Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

G.-E. Olteanu· 1 shared M. Boros· 1 shared O. Pop· 1 shared O. Tica· 1 shared

Activity by Year

2022-2022 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 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 paperPathology

G.-E. Olteanu

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

Predicting the evolution of lung squamous cell carcinoma in situ using deep learning

A. Vigdorovits, G.-E. Olteanu, O. Tica, M. Boros, O. Pop

This study uses deep learning to predict progression of lung squamous cell carcinoma in situ from H&E stained whole slide images, achieving high accuracy.

bioRxiv · Dec 6, 2022 · PreprintPathology