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Joint data imputation and mechanistic modelling for simulating heart-brain interactions in incomplete datasets
The use of mechanistic models in clinical studies is limited by the lack...
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Free-rider Attacks on Model Aggregation in Federated Learning
Free-rider attacks on federated learning consist in dissimulating partic...
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A model of brain morphological changes related to aging and Alzheimer's disease from cross-sectional assessments
In this study we propose a deformation-based framework to jointly model ...
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Monotonic Gaussian Process for Spatio-Temporal Trajectory Separation in Brain Imaging Data
We introduce a probabilistic generative model for disentangling spatio-t...
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DIVE: A spatiotemporal progression model of brain pathology in neurodegenerative disorders
Here we present DIVE: Data-driven Inference of Vertexwise Evolution. DIV...
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Disease Knowledge Transfer across Neurodegenerative Diseases
We introduce Disease Knowledge Transfer (DKT), a novel technique for tra...
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Federated Learning in Distributed Medical Databases: Meta-Analysis of Large-Scale Subcortical Brain Data
At this moment, databanks worldwide contain brain images of previously u...
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Alzheimer's Disease Modelling and Staging through Independent Gaussian Process Analysis of Spatio-Temporal Brain Changes
Alzheimer's disease (AD) is characterized by complex and largely unknown...
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Multi-Channel Stochastic Variational Inference for the Joint Analysis of Heterogeneous Biomedical Data in Alzheimer's Disease
The joint analysis of biomedical data in Alzheimer's Disease (AD) is imp...
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Constraining the Dynamics of Deep Probabilistic Models
We introduce a novel generative formulation of deep probabilistic models...
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