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Author

Giovanni Volpe

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Graph-based embeddings of laminar cortical columns reveal interpretable microstructural patterns associated with Alzheimer’s disease risk

Brain aging and Alzheimer’s disease (AD) risk are associated with spatially heterogeneous alterations in cortical microstructure that may be obscured by region-averaged imaging measures. We present a graph-based framework for depth-resolved and interpretable modeling of cortical microstructure using diffusion MRI and q...

Alexandra Badea, Mirja Granfors, Hanwen Lin et al. · 0 citations
#graph neural networks Review Oct 2026

Particle tracking in quantitative microscopy: a modular tutorial on classical and deep learning methods

Particle tracking is a central tool in digital microscopy for quantifying micro- and nanoscale dynamics. Selecting and validating appropriate methods remains challenging, particularly under low signal-to-noise ratios or high particle densities and for researchers with limited computational expertise. In this talk, we p...

Aaron Domenzain Del Castillo Cerecer, Alex Lech, Jesco Schönfelder et al. · 0 citations

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