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    Marianna Inglese

    Assistant Professor

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

    Email

    marianna.inglese@uniroma2.it

    Biography

    Marianna Inglese, an Assistant Professor of Medical Physics at UNITOV, earned her master’s in Biomedical Engineering from the University of Rome “La Sapienza” in 2014. Her thesis focused on PET image correction for hybrid PET/MRI platforms, and she completed it at the University of Western Ontario’s Lawson Health Research Institute.

    She obtained her PhD in Bioengineering from the University of Rome “La Sapienza” in 2019, researching advanced perfusion quantification methods for dynamic PET and MRI data.

    Marianna is an honorary research fellow at Imperial College London, where she previously worked on quantifying dynamic PET data and applying machine learning for radiomic studies.

    She received several awards, including a “Magna cum laude” from ISMRM and second-place awards at the ISMRM Perfusion Workshop and PET/MRI Workshop. She is a member of AIIC, GNB, the British and Irish Chapter of ISMRM, ISMRM, BNOS, and AISUK.

    Profiles

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    Scopus

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    LinkedIn

    Google Scholar

    Pubmed

    Insegnamenti

    Gomp

    Teachings

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

    Last 5 articles (Scopus)

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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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    A hybrid [18F]fluoropivalate PET-multiparametric MRI to detect and characterise brain tumour metastases based on a permissive environment for monocarboxylate transport; European Journal of Nuclear Medicine and Molecular Imaging; June 2025; DOI: 10.1007/s00259-025-07118-0
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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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    Genotype Characterization in Primary Brain Gliomas via Unsupervised Clustering of Dynamic PET Imaging of Short-Chain Fatty Acid Metabolism; IEEE Transactions on Radiation and Plasma Medical Sciences; 2025; DOI: 10.1109/TRPMS.2024.3514087
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    Last 5 articles (PubMed)

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