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

Last 5 articles (Scopus)

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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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4Ward: A relayering strategy for efficient training of arbitrarily complex directed acyclic graphs; Neurocomputing; 1 February 2024; DOI: 10.1016/j.neucom.2023.127058

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Dionisia Naddeo

Biography

Profiles

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Last 5 articles (Scopus)

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Last 5 articles (PubMed)

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