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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Towards neural foundation models for vision: Aligning EEG, MEG, and fMRI representations for decoding, encoding, and modality conversion; Information Fusion; February 2026; DOI: 10.1016/j.inffus.2025.103650

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Beam angle optimization for radiotherapy using LLMs via reinforcement-learning inspired iterative refinement; Medical Physics; February 2026; DOI: 10.1002/mp.70258

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Reconstructing music perception from brain activity using a prior guided diffusion model; Scientific Reports; December 2025; DOI: 10.1038/s41598-025-26095-w

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Evidence for compositionality in fMRI visual representations via Brain Algebra; Communications Biology; December 2025; DOI: 10.1038/s42003-025-08706-4

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Optimal Transport and Contrastive Learning for Brain Decoding of Musical Perception; Annual International Conference of the IEEE Engineering in Medicine and Biology Society IEEE Engineering in Medicine and Biology Society Annual International Conference; 1 July 2025; DOI: 10.1109/EMBC58623.2025.11253498

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Dionisia Naddeo

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Last 5 articles (Scopus)

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