2025
Automated detection of interictal epileptiform discharges with few electroencephalographic channels
Alkofer M, Yang C, Ganglberger W, Beal J, Hegde M, Kang J, Yoo J, Gelfand M, Thio L, Kutluay E, Campbell Z, Schmitt S, Gleichgerrcht E, Waterhouse E, Lopez M, Eisenschenk S, Galanti M, Singh R, Wills K, Meulenbrugge E, Dlugos D, Dean B, Halford J, Goldenholz D, Jing J, Thomas R, Westover M. Automated detection of interictal epileptiform discharges with few electroencephalographic channels. Epilepsia 2025 PMID: 40317534, DOI: 10.1111/epi.18431.Peer-Reviewed Original ResearchArea under the receiver operating characteristic curveInterictal epileptiform dischargesMedian AUCEpileptiform dischargesFocal interictal epileptiform dischargesReceiver operating characteristic curveArea under the receiver operating characteristic curve valuesEpilepsy diagnosisDetection of interictal epileptiform dischargesClinically available productsDetecting interictal epileptiform dischargesClinically relevant metricsPatient populationPatientsCharacteristic curveDeep neural networksDiagnosisEpilepsyClinicNeural networkIED detectionElectroencephalographic channelsEEG setupElectroencephalographic samplesAutomated detectionT‑ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein–Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment
Kyro G, Smaldone A, Shee Y, Xu C, Batista V. T‑ALPHA: A Hierarchical Transformer-Based Deep Neural Network for Protein–Ligand Binding Affinity Prediction with Uncertainty-Aware Self-Learning for Protein-Specific Alignment. Journal Of Chemical Information And Modeling 2025, 65: 2395-2415. PMID: 39965912, DOI: 10.1021/acs.jcim.4c02332.Peer-Reviewed Original ResearchConceptsProtein-Ligand Binding Affinity PredictionBinding affinity predictionState-of-the-art performanceTransformer-based deep neural networksMultimodal feature representationAffinity predictionBinding affinity of small moleculesState-of-the-artDeep neural networksDeep learning modelsAffinity of small moleculesSelf-learning methodSARS-CoV-2 main proteasePredicted binding affinitiesFeature representationBinding affinityOn-target potencyNeural networkDrug discovery applicationsTransformation frameworkLearning modelsScoring functionCrystal structureSelf-learningMain proteaseA deep learning analysis for dual healthcare system users and risk of opioid use disorder
Yin Y, Workman E, Ma P, Cheng Y, Shao Y, Goulet J, Sandbrink F, Brandt C, Spevak C, Kean J, Becker W, Libin A, Shara N, Sheriff H, Butler J, Agrawal R, Kupersmith J, Zeng-Trietler Q. A deep learning analysis for dual healthcare system users and risk of opioid use disorder. Scientific Reports 2025, 15: 3648. PMID: 39881142, PMCID: PMC11779826, DOI: 10.1038/s41598-024-77602-4.Peer-Reviewed Original ResearchConceptsRisk of opioid use disorderOpioid use disorderDeep neural networksUse disorderClinical factorsIncreased risk of opioid use disorderOpioid use disorder riskOpioid prescribing guidelinesNatural language processing of clinical notesDeep neural network modelU.S. veteransSubstance useOpioid useNatural language processingRetrospective studyBaltimore VA Medical CenterVA Medical CenterIncreased riskPrescribing guidelinesDrug useRisk factorsOpioidMedical CenterVeteransVeterans Health Administration
2024
Imaging‐genomic spatial‐modality attentive fusion for studying neuropsychiatric disorders
Rahaman A, Garg Y, Iraji A, Fu Z, Kochunov P, Hong L, Van Erp T, Preda A, Chen J, Calhoun V. Imaging‐genomic spatial‐modality attentive fusion for studying neuropsychiatric disorders. Human Brain Mapping 2024, 45: e26799. PMID: 39562310, PMCID: PMC11576332, DOI: 10.1002/hbm.26799.Peer-Reviewed Original ResearchConceptsNeural networkDilated convolutional neural networkJoint learning frameworkAttention scoresState-of-the-artDeep neural networksNeural network decisionsConvolutional neural networkAttention fusionFusion moduleDiverse data sourcesArtificial intelligence modelsLearning frameworkAttention moduleJoint learningMultimodal clusteringNetwork decisionsInput streamMultimodal learningHigh-dimensionalIntermediate fusionFused dataSZ classificationIntelligence modelsContextual patternsAn Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data
King R, Kodali S, Krueger C, Yang T, Mortazavi B. An Efficient Contrastive Unimodal Pretraining Method for EHR Time Series Data. 2024, 00: 1-8. DOI: 10.1109/bhi62660.2024.10913624.Peer-Reviewed Original ResearchDeep neural networksElectronic health recordsMachine learningSelf-supervised taskSelf-supervised learningSemi-supervised learningEffective feature extractionMIMIC-III datasetExtract meaningful informationTimeseries dataExtract valuable insightsSOTA methodsContrastive pretrainingLabeled dataFeature extractionNeural networkData batchesEICU datasetTime series dataMeaningful informationMIMIC-IIILinear evaluationComplex mappingComputational demandsHealth recordsAttention-based acoustic feature fusion network for depression detection
Xu X, Wang Y, Wei X, Wang F, Zhang X. Attention-based acoustic feature fusion network for depression detection. Neurocomputing 2024, 601: 128209. DOI: 10.1016/j.neucom.2024.128209.Peer-Reviewed Original ResearchFeature fusion networkFusion networkDepression detectionAdvanced machine learning paradigmsDeep neural networksMachine learning paradigmLSTM-attention mechanismSpeech databaseFeature modelSpeech featuresNeural networkAbundance of informationBoost performanceLearning paradigmImproved detection methodAuditory dataAcoustic featuresDetection methodFeature processingAdjustment moduleNetworkLSTM-AttentionResearch directionsEffective detectionFeaturesMetFinder: A Tool for Automated Quantitation of Metastatic Burden in Histological Sections From Preclinical Models
Karz A, Coudray N, Bayraktar E, Galbraith K, Jour G, Shadaloey A, Eskow N, Rubanov A, Navarro M, Moubarak R, Baptiste G, Levinson G, Mezzano V, Alu M, Loomis C, Lima D, Rubens A, Jilaveanu L, Tsirigos A, Hernando E. MetFinder: A Tool for Automated Quantitation of Metastatic Burden in Histological Sections From Preclinical Models. Pigment Cell & Melanoma Research 2024, 38: e13195. PMID: 39254030, PMCID: PMC11948878, DOI: 10.1111/pcmr.13195.Peer-Reviewed Original ResearchTumor contentMetastasis burdenMetastatic burdenTumor burdenMelanoma metastasesPreclinical modelsMurine modelPreclinical studiesMeasurable metastasesMelanoma researchTherapeutic approachesDeep neural networksHistopathological sectionsMechanisms of melanoma metastasisMetastasisHistological sectionsAI-based algorithmsAutomated quantificationWhole slide imagesAutomated quantitationNeural networkSimultaneous energy and mass calibration of large-radius jets with the ATLAS detector using a deep neural network
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Oviya I, Sravya N, Raja K. Predicting Protein-Protein Interactions Using Self-Attention-Based Deep Neural Networks and FastText Embeddings. 2024, 00: 1-6. DOI: 10.1109/icccnt61001.2024.10725821.Peer-Reviewed Original ResearchPredicting Protein-Protein InteractionsProtein-protein interactionsProtein sequencesRepresentation of protein sequencesEncoded protein sequencesK-mer sequencesLearning modelsAmino acid segmentSelf-attention-basedNetwork feature extractionDeep neural networksDeep learning modelsPredicting PPIsK-mersMachine learning modelsProtein interactionsCellular functionsFastText embeddingsSelf-attentionTransfer learningAcid segmentFeature extractionHuman bacillusEncoding techniqueNeural networkMedical image registration via neural fields
Sun S, Han K, You C, Tang H, Kong D, Naushad J, Yan X, Ma H, Khosravi P, Duncan J, Xie X. Medical image registration via neural fields. Medical Image Analysis 2024, 97: 103249. PMID: 38963972, DOI: 10.1016/j.media.2024.103249.Peer-Reviewed Original ResearchLearning-based methodsNeural fieldsNeural networkImage registrationMedical image analysis tasksMini-batch gradient descentImage analysis tasksDeep neural networksMedical image registrationDiffeomorphic image registrationImage registration frameworkOptimization-based methodDomain shiftAnalysis tasksGradient descentCompetitive performanceImage pairsRegistration taskOptimal deformationShort computation timeRegistration frameworkDesign choicesDisplacement vector fieldComputation timeModel optimizationA Deep Biclustering Framework for Brain Network Analysis
Rahaman A, Fu Z, Iraji A, Calhoun V. A Deep Biclustering Framework for Brain Network Analysis. 2024, 00: 5075-5085. DOI: 10.1109/cvprw63382.2024.00514.Peer-Reviewed Original ResearchDeep neural networksBrain networksState-of-the-artFunctional connectivityNeural networkFeature dimensionsBiclustering frameworkSuboptimal solutionBrain functional connectivityNeuroimaging datasetsBrain network analysisHuman brain dynamicsNetworkNeurobiological mechanismsBiclustering methodsNeural systemsAssigned probability distributionsProbability distributionBrain componentsBrain dynamicsCluster generalizationBiclusteringBrainFrameworkBN edgesA penalized integrative deep neural network for variable selection among multiple omics datasets
Li Y, Ren X, Yu H, Sun T, Ma S. A penalized integrative deep neural network for variable selection among multiple omics datasets. Quantitative Biology 2024, 12: 313-323. DOI: 10.1002/qub2.51.Peer-Reviewed Original ResearchOmics data analysisAvailability of omics dataMultiple omics datasetsGene expression datasetsAggregate multiple datasetsDeep neural networksOmics dataIntegrated deep neural networkOmics datasetsExpression datasetsMultiple datasetsDeep learningDiverse originsNeural networkOmicsAbstract Deep learningVariable selection resultsSample sizeVariable selectionIntegrated analysis frameworkCognitive statusOvarian cancer patientsModel interpretationExtensive simulation studyDatasetComputational reconstruction of mental representations using human behavior
Caplette L, Turk-Browne N. Computational reconstruction of mental representations using human behavior. Nature Communications 2024, 15: 4183. PMID: 38760341, PMCID: PMC11101448, DOI: 10.1038/s41467-024-48114-6.Peer-Reviewed Original ResearchConceptsMental representationsGoal of cognitive scienceVisual featuresNeural networkMultiple visual conceptsDeep neural networksConceptual representationCognitive scienceVisual conceptsSemantic spaceSemantic featuresHuman behaviorParticipantsNetworkRepresentationStimuliBehaviorFeaturesImagesComputer reconstructionTaskPrediction 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 viewDatasetR2V-PPI: Enhancing Prediction of Protein-Protein Interactions Using Word2Vec Embeddings and Deep Neural Networks
Oviya I, N S, Raja K. R2V-PPI: Enhancing Prediction of Protein-Protein Interactions Using Word2Vec Embeddings and Deep Neural Networks. 2024, 00: 1-7. DOI: 10.1109/icaect60202.2024.10469595.Peer-Reviewed Original ResearchProtein-protein interactionsProtein sequencesPrediction of protein-protein interactionsPredicting Protein-Protein InteractionsRaw protein sequencesS. cerevisiae datasetAmino acid residuesIndividual amino acid residuesLarge-scale approachAcid residuesIndividual residuesNeighbouring residuesSequenceProteinResiduesLiving organismsDeep learning modelsDrug discoveryLearning modelsTraditional encoding methodStructural informationState-of-the-art machine learning modelsAdvanced deep learning modelsState-of-the-artDeep neural networksA Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches
Bousse A, Kandarpa V, Shi K, Gong K, Lee J, Liu C, Visvikis D. A Review on Low-Dose Emission Tomography Post-Reconstruction Denoising With Neural Network Approaches. IEEE Transactions On Radiation And Plasma Medical Sciences 2024, 8: 333-347. PMID: 39429805, PMCID: PMC11486494, DOI: 10.1109/trpms.2023.3349194.Peer-Reviewed Original Research
2023
Identifying suicide documentation in clinical notes through zero‐shot learning
Workman T, Goulet J, Brandt C, Warren A, Eleazer J, Skanderson M, Lindemann L, Blosnich J, O'Leary J, Zeng‐Treitler Q. Identifying suicide documentation in clinical notes through zero‐shot learning. Health Science Reports 2023, 6: e1526. PMID: 37706016, PMCID: PMC10495736, DOI: 10.1002/hsr2.1526.Peer-Reviewed Original ResearchZero-shot learningDeep neural networksTraining dataNeural networkZero-shot learning modelData sparsity issueIdentical training dataTrue positive instancesClinical notesDeep learningDocument contentSparsity issueManual annotationTarget labelsLearning modelSemantic spaceTraining samplesPositive instancesWord featuresTraining casesBaseline modelAuxiliary informationTerms of areaLearningProbability thresholdSynergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics
Liang L, Liu M, Elefteriades J, Sun W. Synergistic integration of deep neural networks and finite element method with applications of nonlinear large deformation biomechanics. Computer Methods In Applied Mechanics And Engineering 2023, 416: 116347. PMID: 38370344, PMCID: PMC10871671, DOI: 10.1016/j.cma.2023.116347.Peer-Reviewed Original ResearchFinite element methodInverse problemPhysics-informed loss functionTime-sensitive clinical applicationsTraditional finite element methodElement methodMaterial parameter identificationForward problemSurrogate modelParameter identificationEquilibrium equationsOptimal solutionDNN solutionsTest casesOutput mappingParameter identification accuracyNeural networkDeep neural networksNon-negligible errorsFEM frameworkPatient-specific geometryFinite element analysisInverse methodInverse approachForward modelPathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis
Socha M, Prażuch W, Suwalska A, Foszner P, Tobiasz J, Jaroszewicz J, Gruszczynska K, Sliwinska M, Nowak M, Gizycka B, Zapolska G, Popiela T, Przybylski G, Fiedor P, Pawlowska M, Flisiak R, Simon K, Walecki J, Cieszanowski A, Szurowska E, Marczyk M, Polanska J, Polanska J, Marczyk M, Prazuch W, Suwalska A, Socha M, Foszner P, Tobiasz J, Nowak M, Fiedor P, Cieszanowski A, Oronowicz-Jaskowiak A, Golebiewski B, Simon K, Sliwinska M, Rataj M, Chmielarz P, Tur A, Drabik G, Popiela T, Kozub J, Przybylski G, Kozanecka A, Szurowska E, Hildebrandt S, Krutul-Walenciej K, Baron J, Gruszczynska K, Jaroszewicz J, Piotrowski D, Walecki J, Wasilewski P, Mazur S, Flisiak R, Zapolska G, Klaude K, Rataj K, Golebiewski B, Pawlowska M, Rabiko P, Rajewski P, Gizycka B, Blewaska P, Sznajder K, Plesniak R. Pathological changes or technical artefacts? The problem of the heterogenous databases in COVID-19 CXR image analysis. Computer Methods And Programs In Biomedicine 2023, 240: 107684. PMID: 37356354, PMCID: PMC10278898, DOI: 10.1016/j.cmpb.2023.107684.Peer-Reviewed Original ResearchConceptsChest X-ray imagesNeural networkClassification neural networkDeep neural networksSuper-resolution networkImage resolutionHeterogenous databasesDiagnostic algorithm developmentSet of artifactsX-ray imagesBias discoveryNetwork architecturePoor generalizationNetwork decisionsImage dataScientific research areasAI developmentTypes of dataAlgorithm developmentImage propertiesMedical imagingNetworkResearch areaImage analysisHigh accuracyPyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta
Liang L, Liu M, Elefteriades J, Sun W. PyTorch-FEA: Autograd-enabled finite element analysis methods with applications for biomechanical analysis of human aorta. Computer Methods And Programs In Biomedicine 2023, 238: 107616. PMID: 37230048, PMCID: PMC10330852, DOI: 10.1016/j.cmpb.2023.107616.Peer-Reviewed Original ResearchConceptsDeep neural networksFinite element analysisFEA codeImproved loss functionInverse methodFinite element analysis methodInverse problemCommercial FEA software packageElement analysis methodFEA software packageCommercial FEA packageNew libraryNeural networkPerformance issuesFEA packageNew inverse methodBiomechanical analysisComputational timeFEA methodLoss functionSolid mechanicsDeformation analysisSoftware packageInverse analysisSeries of applications
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