Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Biomedical Engineering, Master in Science, Generation of a normative dopamine neuroreceptor template from [11C]-(+)-PHNO PET imaging modelling population variability, University of Padua
Award Date: 6 Apr 2020
Electronics and Telecommunications Engineering, Bachelor of Engineering, Interoperability in eHealth: HL7 and DICOM, University of Trento
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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An automatic analysis framework for FDOPA PET neuroimaging
and the FDOPA PET imaging working group:, Aug 2023, In: Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism. 43, 8, p. 1285-1300 16 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile20 Downloads (Pure) -
Bitbox: A Cloud-based data sharing solution for medical images
Easmin, R., Nordio, G., Giacomel, A., Turkheimer, F., Williams, S. & Veronese, M., 8 Sept 2022, In: Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022, p. 2712-2715 4 p.Research output: Contribution to journal › Article › peer-review
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Integrating neuroimaging and gene expression data using the imaging transcriptomics toolbox
Giacomel, A., Martins, D., Frigo, M., Turkheimer, F., Williams, S. C. R., Dipasquale, O. & Veronese, M., 17 Jun 2022, In: STAR Protocols. 3, 2, 101315.Research output: Contribution to journal › Article › peer-review
Open Access3 Citations (Scopus) -
PET-BIDS, an extension to the brain imaging data structure for positron emission tomography
Norgaard, M., Matheson, G. J., Hansen, H. D., Thomas, A., Searle, G., Rizzo, G., Veronese, M., Giacomel, A., Yaqub, M., Tonietto, M., Funck, T., Gillman, A., Boniface, H., Routier, A., Dalenberg, J. R., Betthauser, T., Feingold, F., Markiewicz, C. J., Gorgolewski, K. J., Blair, R. W., & 12 others, 2 Mar 2022, In: Scientific Data. 9, 1, p. 65 1 p., 65.Research output: Contribution to journal › Comment/debate › peer-review
Open AccessFile12 Citations (Scopus)28 Downloads (Pure) -
Automated Data Quality Control in FDOPA brain PET Imaging using Deep Learning
Pontoriero, A., Nordio, G., Easmin, R., Giacomel, A., Santangelo, B., Jauhar, S., Bonoldi, I., Rogdaki, M., Turkheimer, F., Howes, O. & Veronese, M., Sept 2021, In: Computer Methods and Programs in Biomedicine. 208, p. 106239 106239.Research output: Contribution to journal › Article › peer-review
12 Citations (Scopus)