2023
Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG
Yan W, Yu L, Liu D, Sui J, Calhoun V, Lin Z. Multi-scale convolutional recurrent neural network for psychiatric disorder identification in resting-state EEG. Frontiers In Psychiatry 2023, 14: 1202049. PMID: 37441141, PMCID: PMC10333510, DOI: 10.3389/fpsyt.2023.1202049.Peer-Reviewed Original ResearchConvolutional recurrent neural networkRecurrent neural networkResting-state EEGNeural networkPsychiatric disordersDeep learning classification modelLow-dimensional subspaceTwo-class classificationDesigning individualized treatmentLearning classification modelsEEG backgroundClassification modelHealthy controlsDepressive disorderSpatiotemporal informationClinical observationsDisease severityAccurate classificationIndividualized treatmentBiomarkersDisorder classificationDisorder identificationDisordersClassificationNeuroimaging biomarkersMeta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT
Zhou B, Xia Y, Yao J, Lu L, Zhou J, Liu C, Duncan J, Zhang L. Meta-information-Aware Dual-path Transformer for Differential Diagnosis of Multi-type Pancreatic Lesions in Multi-phase CT. Lecture Notes In Computer Science 2023, 13939: 119-131. DOI: 10.1007/978-3-031-34048-2_10.Peer-Reviewed Original ResearchFull taxonomyInitial feature extractionGlobal contextual informationPatient-level classificationSemantic segmentationFeature extractionClass labelsTransformer blocksManual annotationContextual informationSegmentation pathSegmentationAccurate classificationPrevious baselineFeasibility of classificationCT datasetsMulti-phase CTPatient informationWork focusAccurate detectionClassificationModel performanceDisease diagnosisPrevious workCNN
2022
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI
Liu X, Xing F, Yang C, Kuo C, Babu S, Fakhri G, Jenkins T, Woo J. VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI. IEEE Journal Of Biomedical And Health Informatics 2022, 26: 1128-1139. PMID: 34339378, PMCID: PMC8807766, DOI: 10.1109/jbhi.2021.3097735.Peer-Reviewed Original ResearchConceptsConvolutional neural networkLearning modelsDimension reductionSubspace learning modelConcatenation of featuresState-of-the-artUnsupervised dimension reductionDeep learning modelsMedical image dataSupervised dimension reductionImage dataClassification of amyotrophic lateral sclerosisSubspace learningClassification taskDeep learningDataset sizeNeural networkSubspace approximationMemory requirementsTraining datasetClassification approachAUC scoreAccurate classificationDatasetExperimental results
2019
Large-Margin Classification in Hyperbolic Space.
Cho H, DeMeo B, Peng J, Berger B. Large-Margin Classification in Hyperbolic Space. Proceedings Of Machine Learning Research 2019, 89: 1832-1840. PMID: 32832915, PMCID: PMC7434093.Peer-Reviewed Original ResearchHyperbolic spaceHyperbolic geometrySupport vector machine classifierReal-world problemsVector machine classifierHyperbolic formulationGeometric interpretationEuclidean spaceEuclidean counterpartCertain classKernel SVMClassification accuracyWord embeddingsMachine classifierDecision boundariesComplex networksAccurate classificationMargin classificationSVMIndefinite kernelsTheoretical connectionsSpaceHierarchical relationshipsEnd analysisGeometry
2015
Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations
Chen Y, Sun J, Huang L, Xu H, Zhao Z. Classification of Cancer Primary Sites Using Machine Learning and Somatic Mutations. BioMed Research International 2015, 2015: 491502. PMID: 26539502, PMCID: PMC4619847, DOI: 10.1155/2015/491502.Peer-Reviewed Original ResearchConceptsMachine learningF-measureAvailable big dataSupport vector machineBig dataVector machineClassification experimentsAccurate classificationCancer classificationGene function informationMachineSomatic mutation informationClassificationMutation informationFunction informationLearningGene symbolsInformationGene featuresGreat opportunityPerformanceSomatic mutation dataMutation dataAccuracyPrediction
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