Jano van Hemert, PhD, FRSE

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h-index	32	21
i10-index	66	38

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Co-authors

Srinivas SaddaDoheny Eye InstituteVerified email at doheny.org
Alan FlemingOptos, University of AberdeenVerified email at optos.com
A.E. EibenProfessor of Computational Intelligence, Vrije Universiteit AmsterdamVerified email at vu.nl
Adam BarkerProfessor of Computer Science, University of St AndrewsVerified email at st-andrews.ac.uk
Charles Wykoff MD PhDRetina Consultants of Houston, Director of Clinical Research, Blanton Eye Institute HoustonVerified email at houstonretina.com
Muhammad Salman HaleemUniversity of WarwickVerified email at warwick.ac.uk
Paolo S. SilvaAssistant Professor of Ophthalmology, Harvard Medical School; University of the Philippines, ManilaVerified email at joslin.harvard.edu
Lloyd Paul Aiello, MD, PhDProfessor of Ophthalmology, Joslin Diabetes Center, Harvard Medical SchoolVerified email at joslin.harvard.edu
Oscar CorchoOntology Engineering Group, Departamento de Inteligencia Artificial, UPMVerified email at fi.upm.es
David M Brown MD FACSDirector of Research, Retina Consultants of HoustonVerified email at houstonretina.com
Chee Sun LiewFaculty of Computer Science & Information Technology, University of MalayaVerified email at um.edu.my
Jon B WeissmanProfessor, University of MinnesotaVerified email at cs.umn.edu
Emanuele TruccoVAMPIRE/CVIP, Computing, University of DundeeVerified email at dundee.ac.uk
Igor GoryaninHenrik Kacser Chair in Systems BiologyVerified email at inf.ed.ac.uk
Luna De FerrariTeaching fellow for statistics & R, Psychology, University of EdinburghVerified email at ed.ac.uk
Kate Smith-MilesProfessor of Applied Mathematics, The University of MelbourneVerified email at unimelb.edu.au
Tom LenaertsProfessor Computer Science, Université Libre de BruxellesVerified email at ulb.ac.be
Andrew H SimsUniversity of EdinburghVerified email at ed.ac.uk
Rob KitchenInstructor in Medicine @ MGH/HarvardVerified email at mgh.harvard.edu
Stephen JarvisProfessor and Pro-Vice-Chancellor, University of Birmingham; Visiting Exchange Professor, NYUVerified email at bham.ac.uk

Jano van Hemert, PhD, FRSE

Optos plc (a Nikon company); Honorary Fellow, College of Medicine and Veterenary Medicine

Verified email at ed.ac.uk - Homepage

Retinal imaging image processing pattern recognition data-intensive computing computer science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Scientific workflow: a survey and research directions A Barker, J Van Hemert International Conference on Parallel Processing and Applied Mathematics, 746-753, 2007	322	2007
Graph coloring with adaptive evolutionary algorithms ÁE Eiben, JK Van Der Hauw, JI van Hemert Journal of Heuristics 4 (1), 25-46, 1998	219	1998
Automatic extraction of retinal features from colour retinal images for glaucoma diagnosis: a review MS Haleem, L Han, J Van Hemert, B Li Computerized medical imaging and graphics 37 (7-8), 581-596, 2013	129	2013
Comparing evolutionary algorithms on binary constraint satisfaction problems BGW Craenen, AE Eiben, JI van Hemert IEEE Transactions on Evolutionary Computation 7 (5), 424-444, 2003	124	2003
Diabetic retinopathy severity and peripheral lesions are associated with nonperfusion on ultrawide field angiography PS Silva, AJD Cruz, MG Ledesma, J van Hemert, A Radwan, ... Ophthalmology 122 (12), 2465-2472, 2015	107	2015
Dynamic routing problems with fruitful regions: Models and evolutionary computation JI Van Hemert, JA La Poutré International Conference on Parallel Problem Solving from Nature, 692-701, 2004	93	2004
A comparison of genetic programming variants for data classification J Eggermont, AE Eiben, JI van Hemert International Symposium on Intelligent Data Analysis, 281-290, 1999	90	1999
Understanding TSP difficulty by learning from evolved instances K Smith-Miles, J van Hemert, XY Lim International Conference on Learning and Intelligent Optimization, 266-280, 2010	88	2010
Discovering the suitability of optimisation algorithms by learning from evolved instances K Smith-Miles, J van Hemert Annals of Mathematics and Artificial Intelligence 61 (2), 87-104, 2011	75	2011
Measuring the precise area of peripheral retinal non-perfusion using ultra-widefield imaging and its correlation with the ischaemic index CS Tan, MC Chew, J van Hemert, MA Singer, D Bell, SVR Sadda British Journal of Ophthalmology 100 (2), 235-239, 2016	68	2016
Neighbourhood searches for the bounded diameter minimum spanning tree problem embedded in a VNS, EA, and ACO M Gruber, J van Hemert, GR Raidl Proceedings of the 8th annual conference on Genetic and evolutionary …, 2006	61	2006
Precise montaging and metric quantification of retinal surface area from ultra-widefield fundus photography and fluorescein angiography DE Croft, J van Hemert, CC Wykoff, D Clifton, M Verhoek, A Fleming, ... Ophthalmic Surgery, Lasers and Imaging Retina 45 (4), 312-317, 2014	59	2014
Evolving combinatorial problem instances that are difficult to solve JI van Hemert Evolutionary Computation 14 (4), 433-462, 2006	59	2006
SAW-ing EAs: Adapting the fitness function for solving constrained problems AE Eiben, JI Van Hemert	55	1999
Solving binary constraint satisfaction problems using evolutionary algorithms with an adaptive fitness function AE Eiben, JI van Hemert, E Marchiori, AG Steenbeek International Conference on Parallel Problem Solving from Nature, 201-210, 1998	51	1998
Assessment of accuracy and precision of quantification of ultra-widefield images M Sagong, J van Hemert, LCO de Koo, C Barnett, SVR Sadda Ophthalmology 122 (4), 864-866, 2015	50	2015
Orchestrating data-centric workflows A Barker, JB Weissman, J Van Hemert 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid …, 2008	47	2008
Adapting the fitness function in GP for data mining J Eggermont, AE Eiben, JI van Hemert European Conference on Genetic Programming, 193-202, 1999	45	1999
Distribution of nonperfusion area on ultra-widefield fluorescein angiography in eyes with diabetic macular edema: DAVE study W Fan, K Wang, KG Falavarjani, M Sagong, A Uji, M Ip, CC Wykoff, ... American Journal of Ophthalmology 180, 110-116, 2017	43	2017
Adaptive genetic programming applied to new and existing simple regression problems J Eggermont, JI Van Hemert European Conference on Genetic Programming, 23-35, 2001	43	2001

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