Biografia

Dionisia Naddeo è dottoranda nel programma nazionale di dottorato in Intelligenza Artificiale per le Scienze della Vita. Ha conseguito una laurea magistrale in Fisica presso l’Università La Sapienza di Roma, con indirizzo Fisica della Materia Condensata e Fisica dello Stato Solido.

I suoi interessi di ricerca includono le reti neurali, il deep learning, con un particolare interesse per l’applicazione delle reti neurali a grafo alla connettività cerebrale.

Profili

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

Biografia

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Last 5 articles (Scopus)

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Last 5 articles (PubMed)

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