Article

Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learning

2019-03-31

Abstract excerpt

Longitudinal imaging biomarkers are invaluable for understanding the course of neurodegeneration, promising the ability to track disease progression and to detect disease earlier than cross-sectional biomarkers. To properly realize their potential, biomarker trajectory models must be robust to both under-sampling and measurement errors and should be able to integrate multi-modal information to improve trajectory i...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 410d9176-68a5-5942-8cdb-200c2244ef3d
DOI: 10.1101/593459

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Modeling longitudinal imaging biomarkers with parametric Bayesian multi-task learningDOI 10.1101/593459Read

Revealing trajectories of multi-modal voxel-level changes in neurodegenerative diseases using latent event mappingSemantic proximity Read

A multi-modal phase plane method for constructing multivariate disease trajectoriesSemantic proximity Read

Identification of Genetic Risk Factors Based on Disease Progression Derived From Longitudinal Brain Imaging Phenotypes.Semantic proximity Read

Non-Parametric Mixture Modelling and its Application to Disease Progression ModellingSemantic proximity Read

Learning a Continuous Progression Trajectory of Amyloid in Alzheimer diseaseSemantic proximity Read

Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort.Semantic proximity Read

An event-based model for disease progression and its application in familial Alzheimer's disease and Huntington's disease.Semantic proximity Read

Quantitative longitudinal predictions of Alzheimer’s disease by multi-modal predictive learningSemantic proximity Read

Data-driven models of dominantly-inherited Alzheimer’s disease progressionSemantic proximity Read

Temporal Modeling of Amyloid and Tau Trajectories in Alzheimer’s Disease using PET and Plasma BiomarkersSemantic proximity Read

Aligning personalized biomarker trajectories onto a common time axis: a connectome-based ODE model for Tau–Amyloid beta dynamicsSemantic proximity Read

Multi-method investigation of factors influencing amyloid onset and impairment in three cohortsSemantic proximity Read