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    Matteo Ferrante

    Matteo Ferrante

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    matteo.ferrante@uniroma2.it

    Biography

    Matteo Ferrante is a Ph.D. candidate at the National AI Ph.D. – Health and Life Sciences program, studying neuromorphic architectures and generative therapeutic “telepathy.”

    He has degrees in Physics and Biomedical Physics from the University of Pavia. His interests lie in artificial intelligence, precision medicine, and neuroscience.

    His Ph.D. project focuses on decoding visual stimuli in the brain and generating activation maps using mappings between latent spaces of the brain and artificial neural networks.

    Profiles

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    Teachings

    A. Y. 2024 - 2025

    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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    • 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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    • Transforming Multimodal Models into Action Models for Radiotherapy; Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics; 2025; DOI: 10.1007/978-3-031-82007-6_5
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    • Generation of synthetic TSPO PET maps from structural MRI images; Frontiers in Neuroinformatics; 2025; DOI: 10.3389/fninf.2025.1633273
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    • Effective Dose Estimation in Computed Tomography by Machine Learning; Tomography; January 2025; DOI: 10.3390/tomography11010002
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    Last 5 articles (PubMed)

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