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
2023
dcSBM: A federated constrained source‐based morphometry approach for multivariate brain structure mapping
Saha D, Silva R, Baker B, Saha R, Calhoun V. dcSBM: A federated constrained source‐based morphometry approach for multivariate brain structure mapping. Human Brain Mapping 2023, 44: 5892-5905. PMID: 37837630, PMCID: PMC10619413, DOI: 10.1002/hbm.26483.Peer-Reviewed Original Research