Vision Foundry: A System for Training Foundational Vision AI Models
Objective
This presentation introduces Vision Foundry, a platform that enables researchers to train and customize foundational vision AI models using their own imaging data. We will explore how this capability empowers new forms of discovery, analysis, and collaboration in medical and bioinformatics research.
Presented by
Mahmut Gokmen
Graduate Research Assistant, Software Developer at the Center for Applied AI
PhD Candidate, UK Department of Computer Science
Mitchell Klusty
Software Developer at the Center for Applied AI
Master's Student, UK Department of Computer Science
Evan Damron
Software Developer at the Center for Applied AI
Master's Student, UK Department of Computer Science
Contact name
April Bridenbecker
Contact email
Registration link
Unit
Center for Clinical & Translational Science
Institute for Biomedical Informatics