Author

Makayla Neal

University of Pittsburgh

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

Biology Disciplines

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Pathology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1

Frequent Co-Authors

Afshin BahramyiD· 1 shared Cody BumgardneriD· 1 shared Dana Rose JulianiD· 1 shared Hossein Tahmasebi DehkordiiD· 1 shared Jonathan A. CoheniD· 1 shared Julia KofleriD· 1 shared Peter T. NelsoniD· 1 shared Thomas M. PearceiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 28 mutual co-author links

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1 shared paperPathology

Afshin BahramyORCID

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1 paper

Recent·Most cited

Multi-model Segmentation and Morphometric Quantification of Cerebral Amyloid Angiopathy in Alzheimer's Disease Whole Slide Histopathology Images

Hossein Tahmasebi Dehkordi, Afshin Bahramy, Dana Rose Julian, Jonathan A. Cohen, Makayla Neal, Cody Bumgardner, Peter T. Nelson, Thomas M. Pearce, Julia Kofler

This paper develops a deep learning framework to segment and quantify cerebral amyloid angiopathy in whole-slide histopathology images, achieving high accuracy and robust generalization across cohorts.

bioRxiv · Jul 21, 2026 · PreprintPathology