Projects per year
Emanuele (Manuel) Trucco, MSc, PhD, FRSA, FIAPR,
is the NRP Chair of Computational Vision in Computing, School of Science and Engineering, at the University of Dundee, an Honorary Clinical Researcher of NHS Tayside and an Adjunct Professor at the Chinese Academy of Sciences. He got his MSc and PhD degrees in Electronic Engineering from
the University of Genova, Italy, in 1984 and 1990 respectively.
He has been active since 1984 in computer vision, and since 2002 in medical image analysis,
publishing more than 250 refereed papers and 2 textbooks, and serving on the organizing or program committee of the major international and UK conferences. Manuel is co-director of VAMPIRE (Vessel Assessment and Measurement Platform for Images of the Retina), an international research initiative led by the Universities of Dundee and Edinburgh (co-director Dr Tom MacGillivray), member of the UK Biobank Eye and Vision Consortium. VAMPIRE develops software tools for efficient data and image analysis with a focus on multi-modal retinal images. VAMPIRE has been used in UK and international biomarker studies on cardiovascular risk, stroke, dementia, diabetes and complications, cognitive performance, neurodegenerative diseases, and genetics. Industrial collaborators include Canon Medical, OPTOS plc, NIDEK, and Epipole plc; institutional collaborations include the College of Optometrists, the Royal College of Ophthalmologists, and the Royal College of Veterinaries. Recent VAMPIRE projects led or co-led by Manuel includes a £7M NIHR grant Dundee-Chennai on precision medicine for diabetes (PI Prof C Palmer), a £1.1M EPSRC grant on multi-modal biomarkers for vascular dementia (PI E Trucco), the 3M-Euro ITN "REVAMMAD" (PI Prof A Hunter, Lincoln), and PhD studentships sponsored by OPTOS plc, NIDEK Technologies, SINAPSE and Toshiba. [Last updated: 9 Oct 2018]
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):
Doctor of Engineering, University of Genoa
1 Sep 1986 → 30 Jun 1990
Award Date: 30 Jun 1990
Master of Engineering, University of Genoa
1 Sep 1978 → 18 Jun 1984
Award Date: 18 Jun 1984
Adjunct Professor, Chinese Academy of Sciences
1 Jan 2018 → 31 Dec 2021
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MICA: InterdisciPlInary Collaboration for EfficienT and Effective Use of Clinical Images in Big Data Health Care RESearch: PICTURES (Programme Grant) (Joint with Universities of Edinburgh and Abertay)
1/08/19 → 31/07/24
CARdiomyopathy in type 2 DIAbetes mellitus (CARDIATEAM) (Joint with the INSERM as lead, CIBER- Network Centre for Biomedical Research, Luxembourg Institute of Health and 17 others)
1/03/19 → 1/03/24
A novel algorithm for cardiovascular screening using conjunctival microcirculatory parameters and blood biomarkersAwuah, A., Moore, J. S., Nesbit, M. A., Ruddock, M. W., Brennan, P. F., Mailey, J. A., McNeil, A. J., Jing, M., Finlay, D. D., Trucco, E., Kurth, M. J., Watt, J., Lamont, J. V., Fitzgerald, P., Spence, M. S., McLaughlin, J. A. D. & Moore, T. C. B., 21 Apr 2022, In: Scientific Reports. 12, 9 p., 6545.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile8 Downloads (Pure)
Comparing Measurements of Vascular Diameter Using Adaptative Optics Imaging and Conventional Fundus ImagingMautuit, T., Semecas, R., Hogg, S., Daien, V., Gavard, O., Chateau, N., MacGillivray, T., Trucco, E. & Chiquet, C., 13 Mar 2022, In: Diagnostics. 12, 3, 11 p., 705.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile11 Downloads (Pure)
Concordance between SIVA, IVAN, and VAMPIRE software tools for semi-automated analysis of retinal vessel caliberMautuit, T., Cunnac, P., Cheung, C. Y., Wong, T. Y., Hogg, S., Trucco, E., Daien, V., MacGillivray, T. J., Labarere, J. & Chiquet, C., 25 May 2022, In: Diagnostics. 12, 6, 12 p., 1317.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile3 Downloads (Pure)
Prediction of Major Adverse Cardiovascular Events from Retinal, Clinical and Genomic Data in Individuals with Type 2 Diabetes: A Population Cohort StudyMordi, I. R., Trucco, E., Syed, M. G., MacGillivray, T., Nar, A., Huang, Y., George, G., Hogg, S., Venkateshan, R., Prathiba, V., Anjana, R. M., Mohan, V., Palmer, C. N. A., Pearson, E. R., Lang, C. C. & Doney, A. S. F., 1 Mar 2022, In: Diabetes Care. 45, 3, p. 710-716 7 p.
Research output: Contribution to journal › Article › peer-reviewOpen AccessFile31 Downloads (Pure)
The accuracy of automated computer-aided diagnosis for stroke imaging: A critical evaluation of current evidenceWardlaw, J. M., Mair, G., von Kummer, R., Williams, M. C., Li, W., Storkey, A. J., Trucco, E., Liebeskind, D. S., Farrall, A., Bath, P. M. & White, P., 20 Apr 2022, (E-pub ahead of print) In: Stroke.
Research output: Contribution to journal › Article › peer-review
Manuel Trucco (Member)2018 → 2020
Activity: Membership types › Membership of committee
Manuel Trucco (Participant)22 Apr 2018 → 23 Apr 2018
Activity: Participating in or organising an event types › Participation in workshop, seminar, course