2025
Spatiotemporal Learning with Context-Aware Video Tubelets for Ultrasound Video Analysis
Li G, Chen L, Hicks B, Schnittke N, Kessler D, Shunp J, Parker M, Baloescu C, Moore C, Gregory C, Gregory K, Raju B, Kruecker J, Chen A. Spatiotemporal Learning with Context-Aware Video Tubelets for Ultrasound Video Analysis. 2025, 00: 1-5. DOI: 10.1109/isbi60581.2025.10981242.Peer-Reviewed Original ResearchGlobal spatial contextState-of-the-art methodsAligned feature mapState-of-the-artUltrasound video analysisReal-time workflowsComplex spatiotemporal informationContext-awarenessFeature mapsObject detectionFive-fold cross-validationSpatiotemporal learningComputational complexityDetection algorithmDetected ROIsSpatial contextUltrasound videosSpatiotemporal featuresSpatiotemporal informationTubeletsVideoVideo analysisClas-sificationReceptive fieldsClassifier
2023
Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG
Yan W, Yu L, Liu D, Sui J, Calhoun V, Lin Z. Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG. Frontiers In Psychiatry 2023, 14: 1202049. PMID: 37441141, PMCID: PMC10333510, DOI: 10.3389/fpsyt.2023.1202049.Peer-Reviewed Original ResearchConvolutional recurrent neural networkRecurrent neural networkResting-state EEGNeural networkPsychiatric disordersDeep learning classification modelLow-dimensional subspaceTwo-class classificationDesigning individualized treatmentLearning classification modelsEEG backgroundClassification modelHealthy controlsDepressive disorderSpatiotemporal informationClinical observationsDisease severityAccurate classificationIndividualized treatmentBiomarkersDisorder classificationDisorder identificationDisordersClassificationNeuroimaging biomarkers
2010
Segmentation of Rat Spinal Cord in PET Using Spatiotemporal Information
Fung E, Weinzimmer D, Strittmatter S, Huang Y, Carson R. Segmentation of Rat Spinal Cord in PET Using Spatiotemporal Information. 2010, 3605-3609. DOI: 10.1109/nssmic.2010.5874483.Peer-Reviewed Original ResearchDynamic PET imagesSegmentation resultsUser definitionTemporal informationSpatiotemporal informationCo-registered imagesSeed pointsManual delineationSegmentationVoxel time activity curvesPET imagesImagesInformationRealistic curvesAnatomical informationLow SNRB-splinesTime-activity curvesComparable resultsSmall numberMethod
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