Multimodal variational autoencoder for low-cost cardiac hemodynamics instability detection

Oct 6, 2024·
Mohammod Naimul Islam Suvon
,
Prasun C. Tripathi
Wenrui Fan
Wenrui Fan
,
Shuo Zhou
,
Xianyuan Liu
,
Samer Alabed
,
Venet Osmani
,
Andrew J. Swift
,
Chen Chen
,
Haiping Lu
· 0 min read
CardioVAE overview
Abstract
CardioVAE integrates low-cost chest X-ray and electrocardiogram modalities with large-scale multimodal pre-training for cardiac hemodynamic instability detection.
Type
Publication
Medical Image Computing and Computer Assisted Intervention — MICCAI 2024
Status
Peer-reviewed Open access
publications
Multimodal Learning Medical AI Self-Supervised Learning
Wenrui Fan
Authors
Wenrui Fan (he/him)
AI Research Engineer & PhD Student
Wenrui Fan is an AI Research Engineer and PhD student at the University of Sheffield, supervised by Prof Haiping Lu. His research focuses on multimodal AI, AI for science, agentic AI, AI for healthcare, biomedical AI, and AI-driven protein design.