A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease
Song T, Chowdhury S, Yang F, Jacobs H, Sepulcre J, Wedeen V, Johnson K, Dutta J. A Physics-Informed Geometric Learning Model for Pathological Tau Spread in Alzheimer’s Disease. Lecture Notes In Computer Science 2020, 12267: 418-427. PMID: 33263115, PMCID: PMC7700821, DOI: 10.1007/978-3-030-59728-3_41.Peer-Reviewed Original ResearchGraph neural networksNeural networkPeak signal-to-noise ratioLearning modelsPhysics-based regularizationSignal-to-noise ratioLatent spaceData sizeDifferential equation solverDiffusion tensor imagingLearning patternsImage dataConnected graphStructural connectivity graphsPositron emission tomographyHarvard Aging Brain StudyNetworkAlzheimer's diseaseAging Brain StudyGraphEffective trainingCross-validation studyTau spreadingBrain regionsEquation solver