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    Dionisia Naddeo

    PhD Student

    Email

    dionisia.naddeo@uniroma2.eu

    Biography

    Dionisia Naddeo is a Ph.D. student in the National Ph.D. program in Artificial Intelligence for Life Sciences. She holds a Master’s degree in Physics from La Sapienza University of Rome, with a focus on Condensed Matter Physics and Solid State Physics.
    Her research interests include neural networks, deep learning, with a particular interest on applying graph neural networks to brain connectivity.

    Profiles

    LinkedIn

    Last 5 articles (Scopus)

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    • Effective Dose Estimation in Computed Tomography by Machine Learning; Tomography; January 2025; DOI: 10.3390/tomography11010002
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    • Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging; Computer Methods and Programs in Biomedicine; November 2024; DOI: 10.1016/j.cmpb.2024.108375
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    • Retrieving and reconstructing conceptually similar images from fMRI with latent diffusion models and a neuro-inspired brain decoding model; Journal of Neural Engineering; 1 August 2024; DOI: 10.1088/1741-2552/ad593c
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    • Decoding visual brain representations from electroencephalography through knowledge distillation and latent diffusion models; Computers in Biology and Medicine; August 2024; DOI: 10.1016/j.compbiomed.2024.108701
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    • Beyond multilayer perceptrons: Investigating complex topologies in neural networks; Neural Networks; March 2024; DOI: 10.1016/j.neunet.2023.12.012
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    Last 5 articles (PubMed)

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