2020
Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification
Zhang F, Dvornek N, Yang J, Chapiro J, Duncan J. Layer Embedding Analysis in Convolutional Neural Networks for Improved Probability Calibration and Classification. IEEE Transactions On Medical Imaging 2020, 39: 3331-3342. PMID: 32356739, PMCID: PMC7606489, DOI: 10.1109/tmi.2020.2990625.Peer-Reviewed Original ResearchConceptsConvolutional neural networkNeural networkClassification taskProbability calibrationTissue classification tasksImage representationBaseline methodsPublic datasetsModel performanceRandom forest modelNetworkBetter performanceForest modelDatasetClassificationTaskCT imagesImagesOriginal model outputMR imagesModel outputInstitutional datasetPerformanceEmbeddingOutputAdaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE.
Zhuang J, Dvornek N, Li X, Tatikonda S, Papademetris X, Duncan J. Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE. Proceedings Of Machine Learning Research 2020, 119: 11639-11649. PMID: 34308361, PMCID: PMC8299461.Peer-Reviewed Original ResearchNeural ordinary differential equationsComputation graphImage classification tasksClassification taskPyTorch implementationBenchmark tasksTraining timeAdaptive checkpointsNeural ODEAutomatic differentiationNaive methodTime series modelingRedundant componentsGradient estimation methodError rateGood accuracyPhysical knowledgeEmpirical performanceGraphGradient estimationTaskAccuracyODE solverSolverResNet
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 modelInvertible Network for Classification and Biomarker Selection for ASD
Zhuang J, Dvornek NC, Li X, Ventola P, Duncan JS. Invertible Network for Classification and Biomarker Selection for ASD. Lecture Notes In Computer Science 2019, 11766: 700-708. PMID: 32274471, PMCID: PMC7144624, DOI: 10.1007/978-3-030-32248-9_78.Peer-Reviewed Original ResearchInvertible networksDeep learning methodsDeep learning modelsBlack-box natureLowest regression errorRegression tasksClassification taskLearning methodsLearning modelDecision boundariesModel decisionsImportant edgesLinear classifierConnectivity matrixASD classificationNetworkBlack-box representationBiomarker selectionRegression errorsData pointsImportance measuresTaskNovel methodClassificationClassifier