May 27, 2023 · In this paper, we leverage coVariance neural networks (VNN) to propose an explanation-driven and anatomically interpretable framework for brain ...
In this paper, we leverage coVariance neural networks (VNN) to propose an explanation-driven and anatomically interpretable framework for brain age prediction.
[PDF] Explainable Brain Age Prediction using coVariance Neural Networks
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In this paper, we leverage coVariance neural networks (VNN) to propose an explanation-driven and anatomically interpretable framework for brain age prediction ...
This paper proposes a new framework for predicting brain age, an area of increasing interest in computational neuroscience. The authors use coVariance Neural ...
May 30, 2024 · In this paper, we leverage coVariance neural networks (VNN) to propose an explanation-driven and anatomically interpretable framework for brain ...
Jan 2, 2025 · Recent studies on coVariance neural networks (VNN) have proposed a relatively transparent deep learning pipeline for neuroimaging data analyses ...
Oct 27, 2024 · In this paper, we leverage coVariance neural networks (VNN) to propose an anatomically interpretable framework for brain age prediction using ...
Jan 2, 2025 · Recent studies on coVariance neural networks (VNN) have proposed a relatively transparent deep learning pipeline for neuroimaging data analyses, ...
Dec 18, 2024 · In this study, we present a comparative evaluation of two pipelines: one using morphometric features from FreeSurfer and the other employing 3D convolutional ...
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In this paper, we leverage coVariance neural networks (VNN) to propose an anatomically interpretable framework for brain age prediction using cortical thickness ...