ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Liu C, Xu K, Shen L, Huguet G, Wang Z, Tong A, Bzdok D, Stewart J, Wang J, Del Priore L, Krishnaswamy S. ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images. 2025, 00: 1-5. DOI: 10.1109/icassp49660.2025.10890535.Peer-Reviewed Original ResearchHigh-level visual featuresJoint representation spaceMedical image datasetsReal-world datasetsPreserving spatial detailsData sparsityImage datasetsVisual featuresUNet architectureMedical imaging technologyMultiscale representationLongitudinal medical imagesMedical imagesTrajectory smoothnessRepresentation spaceData scarcitySpatial detailsIrregular samplingMitigate data scarcityDatasetEmpirical validationImagesSparsityPrediction modelUNet
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