Multimodal Deep Generative Models for Remote Medical Applications
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Author/Creator ORCID
Date
2023-06-26
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Citation of Original Publication
Ordun, Catherine. 2023. “Multimodal Deep Generative Models for Remote Medical Applications”. Proceedings of the AAAI Conference on Artificial Intelligence 37 (13):16127-28. https://doi.org/10.1609/aaai.v37i13.26924.
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Abstract
Visible-to-Thermal (VT) face translation is an under-studied problem of image-to-image translation that offers an AI-enabled alternative to traditional thermal sensors. Over three phases, my Doctoral Proposal explores developing multimodal deep generative solutions that can be applied towards telemedicine applications. These include the contribution of a novel Thermal Face Contrastive GAN (TFC-GAN), exploration of hybridized diffusion-GAN models, application on real clinical thermal data at the National Institutes of Health, and exploration of strategies for Federated Learning (FL) in heterogenous data settings.