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    Marianna Inglese

    Ricercatore

    PHYS-06/A - Fisica per le scienze della vita, l'ambiente e i beni culturali

    Email

    marianna.inglese@uniroma2.it

    Biografia

    Marianna Inglese, ricercatore di Fisica medica presso l’Università di Tor Vergata, ha conseguito la laurea magistrale in Ingegneria biomedica presso l’Università di Roma “La Sapienza” nel 2014. La sua tesi, incentrata sulla correzione delle immagini PET per piattaforme ibride PET/MRI, è stata portata a termine presso il Lawson Health Research Institute della University of Western Ontario.

    Ha conseguito il dottorato di ricerca in Bioingegneria presso l’Università di Roma “La Sapienza” nel 2019, ricercando metodi avanzati di quantificazione della perfusione per dati dinamici PET e RM. 

    Marianna è assegnista di ricerca onoraria presso l’Imperial College di Londra, dove in precedenza ha lavorato sulla quantificazione dei dati PET dinamici e sull’applicazione dell’apprendimento automatico per gli studi radiomici. 

    Ha ricevuto diversi riconoscimenti, tra cui un “Magna cum laude” dall’ISMRM e un premio per il secondo posto al Perfusion Workshop e al PET/MRI Workshop dell’ISMRM. È membro dell’AIIC, del GNB, del Capitolo britannico e irlandese dell’ISMRM, dell’ISMRM, del BNOS e dell’AISUK.

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    Docenze

    A. A. 2024 - 2025
    A. A. 2023 - 2024
    A. A. 2022 - 2023

    Ultime 5 pubblicazioni (Scopus)

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    Clustering Algorithm Reveals Dopamine-Motor Mismatch in Cognitively Preserved Parkinson's Disease; Annals of Clinical and Translational Neurology; July 2026; DOI: 10.1002/acn3.70317
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    Oligoclonal metabolic phenotypes of intracranial metastatic disease determined by unsupervised temporal clustering of FPIA PET data; IEEE Transactions on Radiation and Plasma Medical Sciences; 2026; DOI: 10.1109/TRPMS.2026.3713623
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    Multimodal MRI and 18F-FPIA PET for Non-Invasive IDH Mutation Prediction Using MRI-Foundation Model Embeddings; Proceedings International Symposium on Biomedical Imaging; 2026; DOI: 10.1109/ISBI61048.2026.11515340
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    Glucose metabolism in hyper-connected regions predicts neurodegeneration and speed of conversion in Alzheimer’s disease; European Journal of Nuclear Medicine and Molecular Imaging; October 2025; DOI: 10.1007/s00259-025-07379-9
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    Radiomics across modalities: a comprehensive review of neurodegenerative diseases; Clinical Radiology; June 2025; DOI: 10.1016/j.crad.2025.106921
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    Ultime 5 pubblicazioni (PubMed)

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