AAAI 2023technical4 citations
Multimodal Deep Generative Models for Remote Medical Applications
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.
BibTeX
@article{Ordun_2024, title={Multimodal Deep Generative Models for Remote Medical Applications}, volume={37}, url={https://ojs.aaai.org/index.php/AAAI/article/view/26924}, DOI={10.1609/aaai.v37i13.26924}, abstractNote={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.}, number={13}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Ordun, Catherine}, year={2024}, month={Jul.}, pages={16127-16128} }