Author

William Giles

University of Virginia

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

Bioinformatics· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

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

Frequent Co-Authors

Andrew T Granger· 1 shared Ashley M Abramson· 1 shared Monique Bautista Neughebauer· 1 shared Nicholas James TustisoniD· 1 shared Nikita Patel· 1 shared Weibin ShiiD· 1 shared Zita Venetianer· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 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

Andrew T Granger

Mutual co-authors in cluster

Author profile →

1 paper

Recent·Most cited

2D U-NET Deep Learning Architecture for Atherosclerotic Lesion Segmentation and Quantification

William Giles, Zita Venetianer, Nikita Patel, Monique Bautista Neughebauer, Ashley M Abramson, Andrew T Granger, Nicholas James Tustison, Weibin Shi

This paper develops a 2D U-NET model to segment and quantify atherosclerotic lesions in mouse aortic sections, achieving high accuracy and significantly reducing measurement time.

bioRxiv · Nov 4, 2026 · PreprintBioinformatics