2019
Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
Dvornek NC, Li X, Zhuang J, Duncan JS. Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI. Lecture Notes In Computer Science 2019, 11861: 382-390. PMID: 32274470, PMCID: PMC7143657, DOI: 10.1007/978-3-030-32692-0_44.Peer-Reviewed Original ResearchRecurrent neural networkAutism Brain Imaging Data ExchangeFunctional magnetic resonance imaging (fMRI) dataLarge fMRI datasetShort-term memory structureGenerative modelLong short-term memory (LSTM) structureGenerative recurrent neural networkNeural networkLSTM nodesFMRI time series dataTime series dataMagnetic resonance imaging dataRNN-based modelsNetwork interpretabilityFMRI datasetsMemory structureClassification taskData exchangeDiscriminative model
2018
Combining Phenotypic and Resting-State FMRI Data for Autism Classification with Recurrent Neural Networks
Dvornek NC, Ventola P, Duncan JS. Combining Phenotypic and Resting-State FMRI Data for Autism Classification with Recurrent Neural Networks. 2011 IEEE International Symposium On Biomedical Imaging: From Nano To Macro 2018, 2018: 725-728. PMID: 30288208, PMCID: PMC6166875, DOI: 10.1109/isbi.2018.8363676.Peer-Reviewed Original ResearchAutism spectrum disorderRecurrent neural networkNeural networkAutism Brain Imaging Data ExchangeSingle deep learning frameworkHeterogeneity of ASDFunctional magnetic resonance imagingDeep learning frameworkResting-state fMRI dataResting-state functional magnetic resonance imagingBetter classification accuracyAutism classificationSpectrum disorderData exchangeLearning frameworkFMRI dataClassification accuracyCross-validation frameworkChallenging taskStraightforward taskPrior workNetworkSuch dataRsfMRITask
2015
Neuroimaging data sharing on the neuroinformatics database platform
Book GA, Stevens MC, Assaf M, Glahn DC, Pearlson GD. Neuroimaging data sharing on the neuroinformatics database platform. NeuroImage 2015, 124: 1089-1092. PMID: 25888923, PMCID: PMC4608854, DOI: 10.1016/j.neuroimage.2015.04.022.Peer-Reviewed Original Research
2011
Interoperability and Integration Considerations for a Process-Oriented Clinical Decision Support System
Shah H, Krishnan G, Williams P, Vogler A, Allard R, Nadkarni P. Interoperability and Integration Considerations for a Process-Oriented Clinical Decision Support System. 2011, 1: 437-442. DOI: 10.1109/services.2011.14.Peer-Reviewed Original ResearchClinical decision support systemDecision support systemElectronic medical record systemSupport systemWeb services technologyTwo-way data exchangeSet of interfacesService technologyData exchangeOpen sourceMedical record systemRecord systemChallenges of integrationIntegration considerationsIntegrationInteroperabilitySystemInitiative projectChallengesFunctionalityServicesTechnologySetInterfaceProject
2008
Bringing Web 2.0 to bioinformatics
Zhang Z, Cheung KH, Townsend JP. Bringing Web 2.0 to bioinformatics. Briefings In Bioinformatics 2008, 10: 1-10. PMID: 18842678, PMCID: PMC2638627, DOI: 10.1093/bib/bbn041.Peer-Reviewed Reviews, Practice Guidelines, Standards, and Consensus StatementsConceptsData exchangeWeb 2.0Data integrationHeterogeneous data sourcesHarness collective intelligenceSharing of dataWeb 2.0 technologiesIntegration of dataMajor bioinformatics challengeWeb servicesData warehousingData creationData sharingCollaborative platformCollective intelligenceAutomatic analysisCommunication modelInformation technologyBioinformatics researchUsersData sourcesSharingMultiple sourcesBioinformatics challengesPlatform
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