Professor Emanuele Trucco

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Contact

Email

E.Trucco@dundee.ac.uk

Phone

+44 (0)1382 386504

Biography

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.

Media availability

I am available for media commentary on my research.

Professor Trucco’s research is in medical image and data analysis, including machine and deep learning methods. He is co-director of VAMPIRE, one of the most visible international initiatives on retinal image analysis.

Contact Corporate Communications for media enquiries.

Areas of expertise

  • AI/automation
  • Computing
  • Technology

Second supervisor

Other supervisor

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