2024
MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images
Naumova K, Devos A, Karimireddy S, Jaggi M, Hartley M. MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images. Npj Digital Medicine 2024, 7: 238. PMID: 39242810, PMCID: PMC11379706, DOI: 10.1038/s41746-024-01226-1.Peer-Reviewed Original ResearchX-ray datasetFederated learningData ownersBiomedical imagingCompromising privacyLearning networkClient dataGlobal prototypesBalanced accuracyData biasOriginal dataCollaborative learningClientsDataModel performanceLearningDiagnostic classifierImagesJoint modelPrediction modelClassifierPrivacyGlobal modelPerformanceDataset
2023
Modular Clinical Decision Support Networks (MoDN)—Updatable, interpretable, and portable predictions for evolving clinical environments
Trottet C, Vogels T, Keitel K, Kulinkina A, Tan R, Cobuccio L, Jaggi M, Hartley M. Modular Clinical Decision Support Networks (MoDN)—Updatable, interpretable, and portable predictions for evolving clinical environments. PLOS Digital Health 2023, 2: e0000108. PMID: 37459285, PMCID: PMC10351690, DOI: 10.1371/journal.pdig.0000108.Peer-Reviewed Original ResearchClinical decision support systemPrivacy-preserving learningSize of dataNeural network moduleDecision support systemRule-based logicNovel decision treeData-driven modelsMultilayer perceptronDecision treeMacro-F1Support systemNetwork modulesTraining updatesNew datasetBaseline modelDatasetCollaborative learningModular designClinical environmentPredictive feedbackDiagnostic predictionIdeal scenarioContinuous feedbackNetwork