2022
Robust convolutional neural networks against adversarial attacks on medical images
Shi X, Peng Y, Chen Q, Keenan T, Thavikulwat A, Lee S, Tang Y, Chew E, Summers R, Lu Z. Robust convolutional neural networks against adversarial attacks on medical images. Pattern Recognition 2022, 132: 108923. DOI: 10.1016/j.patcog.2022.108923.Peer-Reviewed Original ResearchConvolutional neural networkMedical imagesAdversarial attacksAdversarial perturbationsNeural networkRobust convolutional neural networkNovel defense methodMedical image modalitiesReal-world scenariosSignificant security risksDefense methodsFeature representationSecurity risksHuman expertsNoisy featuresAttacking methodImage modalitiesAttacksImagesNetworkMedical applicationsOriginal performanceSparsityPerformance deteriorationApplicationsMulti-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS.
Ghahramani G, Brendel M, Lin M, Chen Q, Keenan T, Chen K, Chew E, Lu Z, Peng Y, Wang F. Multi-task deep learning-based survival analysis on the prognosis of late AMD using the longitudinal data in AREDS. AMIA Annual Symposium Proceedings 2022, 2021: 506-515. PMID: 35308963.Peer-Reviewed Original ResearchConceptsAge-related macular degenerationImage featuresMulti-task learning frameworkConvolutional neural networkVision lossLate age-related macular degenerationEye Disease StudyLearning frameworkNeural networkFundus photographsPatient riskMacular degenerationStandard featuresSevere formComplex featuresSurvival analysisCurrent visitLongitudinal dataDisease StudyHistorical dataRapid paceFeaturesNetworkAREDSPatients
2020
Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records
Chen Q, Du J, Kim S, Wilbur W, Lu Z. Deep learning with sentence embeddings pre-trained on biomedical corpora improves the performance of finding similar sentences in electronic medical records. BMC Medical Informatics And Decision Making 2020, 20: 73. PMID: 32349758, PMCID: PMC7191680, DOI: 10.1186/s12911-020-1044-0.Peer-Reviewed Original ResearchConceptsEnd deep learning modelEncoder networkDeep learning modelsSentence embeddingsBiomedical corporaLearning modelRandom forestTraditional machineText mining applicationsDeep learning approachSimilar sentencesMachine learning modelsHigh performanceMining applicationsRelated datasetsClinical notesLearning approachSentence semanticsPubMed abstractsChallenge taskEnsembled modelBest submissionSentence pairsNetworkTest set