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Abstract A028: A Robust and Reproducible Pipeline for Quantifying Stroke Injury in a Heterogeneous, Multi-Site Preclinical Network

Year: 2026

Type: conference-abstract

Source: Stroke

DOI: 10.1161/str.57.suppl_1.a028

Authors: Kirsten Lynch, Ryan Cabeen, Joseph Mandeville, Basavaraju Sanganahalli, Fahmeed Hyder, Daniel Thedens, Ali Arbab, Shuning Huang, Adnan Bibic, Erendiz Tarakci, Jelena Mihailovic, Jessica Lamb, Karisma Nagarkatti, Andreia Morais, Marcio Diniz, Arthur Toga, Patrick Lyden, Cenk Ayata

Institutions: University of Southern California, Massachusetts General Hospital, Yale University, University of Iowa, Augusta University, Johns Hopkins University, Icahn School of Medicine at Mount Sinai, Harvard University

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W7126106549

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