2022
Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction
Nam D, Chapiro J, Paradis V, Seraphin TP, Kather JN. Artificial intelligence in liver diseases: Improving diagnostics, prognostics and response prediction. JHEP Reports 2022, 4: 100443. PMID: 35243281, PMCID: PMC8867112, DOI: 10.1016/j.jhepr.2022.100443.Peer-Reviewed Original ResearchArtificial intelligenceSuch AI systemsDiverse clinical datasetsDeep learningAI systemsMultiple data sourcesDecision support toolImage dataLarge-scale clinical validationSupport toolRadiology dataClinical datasetsData sourcesRelevant informationIntelligenceClinical routineDisease courseLiver diseaseInformationNovel biomarkersNeoplastic diseaseHepatologyClinical validationCritical obstacleDataset
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 datasetPerformanceEmbeddingOutput