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Constraining the Dynamics of Deep Probabilistic Models
We introduce a novel generative formulation of deep probabilistic models...
02/15/2018 ∙ by Marco Lorenzi, et al. ∙
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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...
08/10/2018 ∙ by Luigi Antelmi, et al. ∙
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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...
10/19/2018 ∙ by Santiago Silva, et al. ∙
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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...
08/20/2018 ∙ by Clement Abi Nader, et al. ∙
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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...
01/11/2019 ∙ by Razvan V. Marinescu, et al. ∙
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Disease Knowledge Transfer across Neurodegenerative Diseases
We introduce Disease Knowledge Transfer (DKT), a novel technique for tra...
01/11/2019 ∙ by Razvan V. Marinescu, et al. ∙
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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...
02/28/2019 ∙ by Clement Abi Nader, et al. ∙
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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 ...
05/23/2019 ∙ by Raphaël Sivera, et al. ∙
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Free-rider Attacks on Model Aggregation in Federated Learning
Free-rider attacks on federated learning consist in dissimulating partic...
06/21/2020 ∙ by Yann Fraboni, et al. ∙
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