2024
Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis
Gao Y, Ellis C, Calhoun V, Miller R. Improving Age Prediction: Utilizing LSTM-Based Dynamic Forecasting For Data Augmentation in Multivariate Time Series Analysis. 2024, 00: 125-128. DOI: 10.1109/ssiai59505.2024.10508611.Peer-Reviewed Original ResearchLong short-term memoryDeep learning modelsData augmentationPerformance deep learning modelsLearning modelsMultivariate time series dataAge prediction taskShort-term memoryPrediction taskAugmented datasetDynamical forecastsComponent networksMultivariate time series analysisDatasetNeuroimaging datasetsRobust solutionTime series dataOriginal dataValidation frameworkTime series analysisSeries dataNetworkNeuroimaging fieldDataModel performance
2018
The Future of Healthcare through a Systems Approach
Ravitz A, Grant M, Grant C. The Future of Healthcare through a Systems Approach. 2018, 00: 527-534. DOI: 10.1109/sysose.2018.8428781.Peer-Reviewed Original Research
2015
Spectral Estimation for Magnetic Resonance Spectroscopic Imaging with Spatial Sparsity Constraints
Ning Q, Ma C, Liang Z. Spectral Estimation for Magnetic Resonance Spectroscopic Imaging with Spatial Sparsity Constraints. 2015, 1482-1485. DOI: 10.1109/isbi.2015.7164157.Peer-Reviewed Original ResearchSignal-to-noise ratioState-of-the-art methodsState-of-the-artLow signal-to-noise ratioSpatial sparsity constraintsJoint estimation problemSpectral estimationRegularization frameworkSparsity constraintEstimation accuracyEstimation problemRobust solutionExperimental resultsSpatial constraintsModel nonlinearityConstraintsSpectral characteristicsQuantitative problemsImagesParametersNonlinearitySimulation
2010
Automated High-Dimensional Flow Cytometric Data Analysis
Pyne S, Hu X, Wang K, Rossin E, Lin T, Maier L, Baecher-Allan C, McLachlan G, Tamayo P, Hafler D, De Jager P, Mesirov J. Automated High-Dimensional Flow Cytometric Data Analysis. Lecture Notes In Computer Science 2010, 6044: 577-577. DOI: 10.1007/978-3-642-12683-3_41.Peer-Reviewed Original Research
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