2024
SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI
Chen J, Qian L, Ma L, Urakov T, Gu W, Liang L. SymTC: A symbiotic Transformer-CNN net for instance segmentation of lumbar spine MRI. Computers In Biology And Medicine 2024, 179: 108795. PMID: 38955128, DOI: 10.1016/j.compbiomed.2024.108795.Peer-Reviewed Original ResearchConvolutional neural networkDeep neural networksImage segmentation modelNeural networkSegmentation modelConvolutional neural network layersSelf-attention moduleEfficient image segmentationIn-house datasetModule of TransformerMR image datasetsHigher Dice scoresImage datasetsImage segmentationTransformation layerAccurate segmentationPersistent low back painDice scoreIndividual instancesAutomated wayLumbar spine MRILow back painDatasetHausdorff distanceLumbar MR images
2022
A regularization method to improve adversarial robustness of neural networks for ECG signal classification
Ma L, Liang L. A regularization method to improve adversarial robustness of neural networks for ECG signal classification. Computers In Biology And Medicine 2022, 144: 105345. PMID: 35240379, DOI: 10.1016/j.compbiomed.2022.105345.Peer-Reviewed Original ResearchConceptsDeep neural networksECG signal classificationAdversarial noiseAdversarial attacksNeural networkAdversarial robustness of neural networksSignal classificationAccuracy of deep neural networksRobustness of neural networksField of computer visionImprove DNN robustnessSignal classification applicationsMIT-BIH datasetNovel regularization methodClass label predictionRegularization methodLife-critical applicationsInterpretation of electrocardiograms (ECGAdversarial perturbationsAdversarial robustnessComputer visionClassification applicationsReduction of accuracyPublic datasetsProjected Gradient
2021
Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images
Chen J, Qian L, Urakov T, Gu W, Liang L. Adversarial robustness study of convolutional neural network for lumbar disk shape reconstruction from MR images. Progress In Biomedical Optics And Imaging 2021, 11596: 1159615-1159615-13. DOI: 10.1117/12.2580852.Peer-Reviewed Original ResearchOut-of-distributionDeep neural networksConvolutional neural networkDeep neural network classifierAdversarial attacksIn-distributionNeural networkStudy of convolutional neural networksShape reconstructionRepresentative CNNsTraining setMedical image analysis systemsConvolutional neural network robustnessData augmentation methodMedical image analysisMachine learning technologyAdversarial samplesAdversarial trainingAmount of noiseInput imageClean imagesNoisy imagesAugmentation methodDataset sizeTraining dataset
2020
Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length
Ma L, Liang L. Enhance CNN Robustness Against Noises for Classification of 12-Lead ECG with Variable Length. 2020, 00: 839-846. DOI: 10.1109/icmla51294.2020.00137.Peer-Reviewed Original ResearchDeep neural networksAdversarial noiseDefense methodsClassification accuracyClassification accuracy of deep neural networksRobustness of deep neural networksAccuracy of deep neural networksImprove robustnessElectrocardiogram signal classificationInterpretation of ECG signalsClass label predictionLife-critical applicationsRobust against noiseClassification taskClassification challengeF1 scoreNeural networkCustom CNNSignal classificationAverage accuracyCNNClean dataECG signalsAutomatic interpretationEvaluation results
2019
A Proof of Concept Study of Using Machine-Learning in Artificial Aortic Valve Design: From Leaflet Design to Stress Analysis
Liang L, Sun B. A Proof of Concept Study of Using Machine-Learning in Artificial Aortic Valve Design: From Leaflet Design to Stress Analysis. Bioengineering 2019, 6: 104. PMID: 31717333, PMCID: PMC6955850, DOI: 10.3390/bioengineering6040104.Peer-Reviewed Original ResearchDeep neural networksML modelsNeural networkMachine learningStress analysisFinite elementProcess of numerical modelingTranscatheter aortic valve designsTranscatheter aortic valveComputational stress analysisTranscatheter aortic valve leafletsAnimal implantation studiesArtificial heart valvesMonte Carlo cross-validationStress distributionDesign parametersMachine-learningML approachesValve designNumerical modelDeformed geometryHeart valvesBenchtop testingLife-saving medical devicesPhysical tests