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Conference Paper
L. Han, Saengngam, T., and van Hemert, J., Accelerating Data-Intensive Applications: a Cloud Computing Approach Image Pattern Recognition Tasks, in The Fourth International Conference on Advanced Engineering Computing and Applications in Sciences, 2010.
M. Atkinson, Brezany, P., Corcho, O., Han, L., van Hemert, J., Hluchy, L., Hume, A., Janciak, I., Krause, A., Snelling, D., and Wöhrer, A., Advanced Data Mining and Integration Research for Europe, in All Hands Meeting 2009, Oxford, 2009.
M. S. Haleem, Han, L., Li, B., Nisbet, A., van Hemert, J., and Verhoek, M., Automatic Extraction of the Optic Disc Boundary for Detecting Retinal Diseases, in 14th {IASTED} International Conference on Computer Graphics and Imaging (CGIM), 2013.
J. Ure, Proctor, R., Martone, M., Porteous, D., Lloyd, S., Lawrie, S., Job, D., Baldock, R., Philp, A., Liewald, D., Rakebrand, F., Blaikie, A., McKay, C., Anderson, S., Ainsworth, J., van Hemert, J., Blanquer, I., and Sinno, Data Integration in eHealth: A Domain/Disease Specific Roadmap, in Studies in Health Technology and Informatics, 2007, vol. 126, p. 144--153.
D. A. Bacigalupo, van Hemert, J., Usmani, A., Dillenberger, D. N., Wills, G. B., and Jarvis, S. A., Resource management of enterprise cloud systems using layered queuing and historical performance models, in IEEE International Symposium on Parallel Distributed Processing, 2010, p. 1--8.
K. Zutis, Trucco, E., Hubschman, J. P., Reed, D., Shah, S., and van Hemert, J., Towards automatic detection of abnormal retinal capillaries in ultra-widefield-of-view retinal angiographic exams, in Conf Proc IEEE Eng Med Biol Soc, 2013.