UK PET Chemistry Workshop on Radiotracer Dispensing Oct 21, 2022 09:00 AM - 05:00 PM — KCL, London
Scottish Radiotherapy Research Forum Nov 10, 2022 10:00 AM - 04:00 PM — University of Stirling
IPEM Advanced Neuro MRI Nov 15, 2022 09:00 AM - 05:00 PM — Birmingham


SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists. **Unfortunately these do not currently work in browsers**

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Dr Jano van Hemert

Home page: Go to homepage
Position: Director of Research & Data Science


Retinal imaging, image processing, automated image analysis, machine learning, medical devices, ophthalmology, eye health care, eye diseases, systemic diseases apparent in the eye.

Institute: Optos (Nikon)

Department: R&D

Research Themes

Automated image analysis for feature detection and disease classification.

Diseases of the eye, especially the major retinal diseases: Diabetic Retinopathy, Age-Related Macular Degeneration and Glaucoma.

Systemic diseases apparent in the eye: vascular diseases and neurodegenerative diseases.

Development of novel optical imaging devices for retinal imaging: functional optical coherence tomography, spectral imaging and multi-modal imaging.

Informatics and Computer Science: parallel and cloud computing, algorithm performance and spatial data integration.

Key Publications

Diabetic Retinopathy Severity and Peripheral Lesions Are Associated with Nonperfusion on Ultrawide Field Angiography (P. S. Silva, A. J. Dela Cruz, M. G. Ledesma, J. van Hemert, A. Radwan, J. D. Cavallerano, L. M. Aiello, J. K. Sun, L. P. Aiello), In Ophthalmology, 2015

Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index (C. S. Tan, M. C. Chew, J. van Hemert, M. A. Singer, D. Bell, S. R. Sadda), In Br J Ophthalmol, 2015.

Blood vessel segmentation and width estimation in ultra-wide field scanning laser ophthalmoscopy (E. Pellegrini, G. Robertson, E. Trucco, T.J. MacGillivray, C. Lupascu, J. van Hemert, M.C. Williams, D.E. Newby, E.J.R. van Beek, G. Houston), In Biomed. Opt. Express, OSA, volume 5, 2014.

Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography. (D.E. Croft, J. van Hemert, C.C. Wykoff, D. Clifton, M. Verhoek, A. Fleming, D.M. Brown), In Ophthalmic Surg Lasers Imaging Retina, volume 45, 2014.

The DATA Bonanza: Improving Knowledge Discovery for Science, Engineering and Business (M.P. Atkinson, R. Baxter, P. Brezany, O. Corcho, M. Galea, J. van Hemert, M. Parsons, D. Snelling), (Albert Y. Zamaya (series), ed.), John Wiley & Sons Ltd., 2013.

Automatically Identifying and Annotating Mouse Embryo Gene Expression Patterns (L. Han, J.I. van Hemert, R.A. Baldock), In Bioinformatics, volume 27, 2011.

An Open Source Toolkit for Medical Imaging De-Identification (D. Rodriguez González, T. Carpenter, J.I. van Hemert, J. Wardlaw), In European Radiology, volume 20, 2010.


Dr Tom MacGillivray, University of Edinburgh

Prof Emanuele Trucco, University of Dundee

Prof Edwin van Beek, University of Edinburgh

Dr Bal Dhilon, University of Edinburgh & NHS Lothian

Dr Paolo S. Silva, Harvard University

Dr SriniVas Sadda, UCLA

Dr Colin Tan, Singapore National Eye Center

Software Expertise

Data processing: Matlab, R, Octave, Gnuplot.

Programming languages: C, C++, Java, Perl, Python.

Operating systems: Linux, Mac OS X, Windows.

Cloud, grid and parallel computing: Amazon EC2, Sun Grid Engine.

Image processing: Matlab, OpenCV, ImageJ.