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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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

Biography

Profiles

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Last 5 articles (Scopus)

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Last 5 articles (PubMed)

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