2024
Deep Learning-based Dynamic PET Intra-frame Motion Correction and Integration with Inter-frame Motion Estimation
Guo X, Tsai Y, Liu Q, Guo L, Valadez G, Dvornek N, Liu C. Deep Learning-based Dynamic PET Intra-frame Motion Correction and Integration with Inter-frame Motion Estimation. 2024, 00: 1-1. DOI: 10.1109/nss/mic/rtsd57108.2024.10657268.Peer-Reviewed Original ResearchIntra-frame motionMotion correctionGated imagesLearning-based registration approachesDeep learning-based worksInter-frame motion estimationConventional image registrationLearning-based worksImage registrationMotion estimation processMotion estimation frameworkInter-frame registrationRespiratory gatingImprove image sharpnessInter-frameInference timeMotion estimationReconstructed framesDynamic PET datasetsGeneralization abilityPET imagingConventional registrationDynamic PET imagesImprove image qualityComputational inefficiencyPrediction of chemical reaction yields with large-scale multi-view pre-training
Shi R, Yu G, Huo X, Yang Y. Prediction of chemical reaction yields with large-scale multi-view pre-training. Journal Of Cheminformatics 2024, 16: 22. PMID: 38403627, PMCID: PMC10895839, DOI: 10.1186/s13321-024-00815-2.Peer-Reviewed Original ResearchState-of-the-art performanceSelf-supervised learning techniqueGeneralization capabilityMachine learning modelsPre-trainingLearning modelsLearning techniquesOut-of-sample dataComplex deep learning modelsMulti-view learningEnhanced generalization abilityPre-training strategyDeep neural networksCapability of machine learning modelsDeep learning modelsBenchmark datasetsGeneralization abilityNeural networkChemical reaction yieldsGeometric informationGraphs of moleculesExperimental resultsReaction yieldGeometric viewDataset
2021
End-to-end sleep staging using convolutional neural network in raw single-channel EEG
Li F, Yan R, Mahini R, Wei L, Wang Z, Mathiak K, Liu R, Cong F. End-to-end sleep staging using convolutional neural network in raw single-channel EEG. Biomedical Signal Processing And Control 2021, 63: 102203. DOI: 10.1016/j.bspc.2020.102203.Peer-Reviewed Original ResearchSingle-channel electroencephalogramConvolutional neural networkSqueeze-ExcitationNeural networkRaw single-channel electroencephalogramChannel mismatchModel generalization abilitySleep staging taskChannel mismatch problemAutomatic sleep staging methodEnd-to-endAutomatic sleep stagingManual sleep stagingSleep staging methodsSleep stagesSleep-EDFxGeneralization capabilityGeneralization abilityTrained weightsElectroencephalogram signalsSleep datasetsElectroencephalogram channelsMismatch problemPortable sleep monitoring deviceClinical sleep recordings
2020
Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space
Yang J, Li X, Pak D, Dvornek N, Chapiro J, Lin M, Duncan J. Cross-Modality Segmentation by Self-supervised Semantic Alignment in Disentangled Content Space. Lecture Notes In Computer Science 2020, 12444: 52-61. DOI: 10.1007/978-3-030-60548-3_6.Peer-Reviewed Original ResearchSemantic alignmentDomain shiftContent spaceCross-modality medical image segmentationUnsupervised domain adaptation problemMedical image tasksMedical image segmentationDeep convolutional networksDomain adaptation problemAdversarial training strategyAdvantage of imagesQualitative experimental resultsDifferent modalitiesDeep networkPretext taskConvolutional networkSegmentation taskImage segmentationImage tasksSegmentation performanceArt performanceLiver segmentationModality alignmentGeneralization abilitySegmentation pipeline
2011
Smooth isotonic regression: a new method to calibrate predictive models.
Jiang X, Osl M, Kim J, Ohno-Machado L. Smooth isotonic regression: a new method to calibrate predictive models. AMIA Joint Summits On Translational Science Proceedings 2011, 2011: 16-20. PMID: 22211175, PMCID: PMC3248752.Peer-Reviewed Original ResearchBiomedical data setsSupervised learning modelGood generalization abilityMachine learningPredictive modelGeneralization abilityProbabilistic outputsLearning modelData setsIsotonic regression methodNovel methodNon-parametric approachReliability diagramsProbability estimatesRegression methodNew methodLearning
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