Assessment of valve regurgitation severity via contrastive learning and multi-view video integration
Kim S, Ren H, Charton J, Hu J, Gonzalez C, Khambhati J, Cheng J, DeFrancesco J, Waheed A, Marciniak S, Moura F, Cardoso R, Lima B, McKinney S, Picard M, Li X, Li Q. Assessment of valve regurgitation severity via contrastive learning and multi-view video integration. Physics In Medicine And Biology 2024, 69: 045020. PMID: 38271727, DOI: 10.1088/1361-6560/ad22a4.Peer-Reviewed Original ResearchConceptsRepresentation learningContrastive learningMulti-view video processingState-of-the-art methodsContrastive learning frameworkState-of-the-artIn-house datasetVideo processingContrastive networkEmbedding spaceImage inputLearning frameworkVideo integrationIntricate taskLoss termMulti-modal clinical dataLearningRepresentationLabor-intensiveAccuracyEfficient methodVideo seriesEmbeddingDatasetNetwork