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Mattia Veronese
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2020 – today
- 2024
- [j15]Valentina Visani, Mattia Veronese, Francesca B. Pizzini, Annalisa Colombi, Valerio Natale, Corina Marjin, Agnese Tamanti, Julia J. Schubert, Noha Althubaity, Inés Bedmar-Gómez, Neil A. Harrison, Edward T. Bullmore, Federico E. Turkheimer, Massimiliano Calabrese, Marco Castellaro:
ASCHOPLEX: A generalizable approach for the automatic segmentation of choroid plexus. Comput. Biol. Medicine 182: 109164 (2024) - [j14]Matteo Ferrante, Marianna Inglese, Ludovica Brusaferri, Alexander C. Whitehead, Lucia Maccioni, Federico E. Turkheimer, Maria A. Nettis, Valeria Mondelli, Oliver D. Howes, Marco L. Loggia, Mattia Veronese, Nicola Toschi:
Physically informed deep neural networks for metabolite-corrected plasma input function estimation in dynamic PET imaging. Comput. Methods Programs Biomed. 256: 108375 (2024) - 2022
- [c4]Rubaida Easmin, Giovanna Nordio, Alessio Giacomel, Federico E. Turkheimer, Steven C. R. Williams, Mattia Veronese:
Bitbox: A Cloud-based data sharing solution for medical images. EMBC 2022: 2712-2715 - 2021
- [j13]Antonella D. Pontoriero, Giovanna Nordio, Rubaida Easmin, Alessio Giacomel, Barbara Santangelo, Sameer Jahuar, Ilaria Bonoldi, Maria Rogdaki, Federico E. Turkheimer, Oliver D. Howes, Mattia Veronese:
Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning. Comput. Methods Programs Biomed. 208: 106239 (2021)
2010 – 2019
- 2019
- [j12]Heikki Laurikainen, Lauri Tuominen, Maria Tikka, Harri Merisaari, Reetta-Liina Armio, Elina Sormunen, Faith Borgan, Mattia Veronese, Oliver D. Howes, Merja Haaparanta-Solin, Olof Solin, Jarmo Hietala:
Sex difference in brain CB1 receptor availability in man. NeuroImage 184: 834-842 (2019) - [j11]Pierluigi Selvaggi, Peter C. T. Hawkins, Ottavia Dipasquale, Gaia Rizzo, Alessandro Bertolino, Juergen Dukart, Fabio Sambataro, Giulio Pergola, Steven C. R. Williams, Federico E. Turkheimer, Fernando O. Zelaya, Mattia Veronese, Mitul A. Mehta:
Increased cerebral blood flow after single dose of antipsychotics in healthy volunteers depends on dopamine D2 receptor density profiles. NeuroImage 188: 774-784 (2019) - [j10]Ottavia Dipasquale, Pierluigi Selvaggi, Mattia Veronese, Anthony S. Gabay, Federico E. Turkheimer, Mitul A. Mehta:
Receptor-Enriched Analysis of functional connectivity by targets (REACT): A novel, multimodal analytical approach informed by PET to study the pharmacodynamic response of the brain under MDMA. NeuroImage 195: 252-260 (2019) - [j9]Matteo Tonietto, Gaia Rizzo, Mattia Veronese, Faith Borgan, Peter S. Bloomfield, Oliver D. Howes, Alessandra Bertoldo:
A Unified Framework for Plasma Data Modeling in Dynamic Positron Emission Tomography Studies. IEEE Trans. Biomed. Eng. 66(5): 1447-1455 (2019) - [c3]Barbara Santangelo, Joel T. Dunn, Katherine Beck, Colm J. McGinnity, Matteo Tonietto, Federico E. Turkheimer, Oliver D. Howes, Mattia Veronese:
Modelling Continuous Arterial Blood Data from MR-Compatible Sampler in Simultenous Pet-MRI Experiments. ISBI 2019: 750-753 - 2017
- [j8]Marco Castellaro, Gaia Rizzo, Matteo Tonietto, Mattia Veronese, Federico E. Turkheimer, Michael A. Chappell, Alessandra Bertoldo:
A Variational Bayesian inference method for parametric imaging of PET data. NeuroImage 150: 136-149 (2017) - [j7]Colm J. McGinnity, Daniela A. Riaño Barros, Lula Rosso, Mattia Veronese, Gaia Rizzo, Alessandra Bertoldo, Rainer Hinz, Federico E. Turkheimer, Matthias J. Koepp, Alexander Hammers:
Test-retest reproducibility of quantitative binding measures of [11C]Ro15-4513, a PET ligand for GABAA receptors containing alpha5 subunits. NeuroImage 152: 270-282 (2017) - [j6]Peter J. Hellyer, Erica F. Barry, Alberto Pellizzon, Mattia Veronese, Gaia Rizzo, Matteo Tonietto, Manuel Schütze, Michael J. Brammer, Marco Aurélio Romano-Silva, Alessandra Bertoldo, Federico E. Turkheimer:
Protein synthesis is associated with high-speed dynamics and broad-band stability of functional hubs in the brain. NeuroImage 155: 209-216 (2017) - 2016
- [j5]Mattia Veronese, Gaia Rizzo, Alessandra Bertoldo, Federico E. Turkheimer:
Spectral Analysis of Dynamic PET Studies: A Review of 20 Years of Method Developments and Applications. Comput. Math. Methods Medicine 2016: 7187541:1-7187541:15 (2016) - [j4]Mattia Veronese, Paolo Zanotti-Fregonara, Gaia Rizzo, Alessandra Bertoldo, Robert B. Innis, Federico E. Turkheimer:
Measuring specific receptor binding of a PET radioligand in human brain without pharmacological blockade: The genomic plot. NeuroImage 130: 1-12 (2016) - 2015
- [c2]Matteo Tonietto, Gaia Rizzo, Mattia Veronese, Alessandra Bertoldo:
Modelling arterial input functions in positron emission tomography dynamic studies. EMBC 2015: 2247-2250 - 2013
- [j3]Mattia Veronese, Gaia Rizzo, Federico E. Turkheimer, Alessandra Bertoldo:
SAKE: A new quantification tool for positron emission tomography studies. Comput. Methods Programs Biomed. 111(1): 199-213 (2013) - [j2]Mattia Veronese, Roger N. Gunn, Stefano Zamuner, Alessandra Bertoldo:
A non-linear mixed effect modelling approach for metabolite correction of the arterial input function in PET studies. NeuroImage 66: 611-622 (2013) - [c1]Elisa Veronese, Mattia Veronese, Stefano Sivolella, Enrico Grisan:
A radiographic-based method for marginal bone loss measurement in dental implants. ISBI 2013: 129-132 - 2010
- [j1]Mattia Veronese, Alessandra Bertoldo, Kathleen C. Schmidt:
A spectral analysis approach for voxelwise determination of regional rates of cerebral protein synthesis with the L-[1-11C]leucine PET method. NeuroImage 52(Supplement-1): S212 (2010)
Coauthor Index
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