2025
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
2023
AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning
Luo L, Wei C, Lai P, Leaman R, Chen Q, Lu Z. AIONER: all-in-one scheme-based biomedical named entity recognition using deep learning. Bioinformatics 2023, 39: btad310. PMID: 37171899, PMCID: PMC10212279, DOI: 10.1093/bioinformatics/btad310.Peer-Reviewed Original ResearchConceptsDeep learningEntity recognitionTraining dataEntity typesLabeling training dataNatural language textText mining tasksSignificant domain expertiseMulti-task learningMining tasksInformation extractionBioNER taskDomain expertiseBiomedical entitiesIndependent tasksSource codeBenchmark tasksLanguage textBiomedical textArt approachesAccurate annotationExternal dataData scarcityTaskLearning
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