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F. Zhu, T. Carpenter, D. Rodríguez, M. Atkinson, and J. Wardlaw, “Computed Tomography Perfusion Imaging Denoising Using Gaussian Process Regression”, Physics in Medicine and Biology, 2012.
F. Zhu, D. Rodriguez, T. Carpenter, M. Atkinson, and J. Wardlaw, “Parallel perfusion imaging processing using GPGPU”, Computer Methods and Programs in Biomedicine, p. -, 2012.
F. Zhu, (PhD Thesis) Brain Perfusion Imaging - Performance and Accuracy. 2012.
F. Zhu, D. Rodríguez, T. Carpenter, M. Atkinson, and J. Wardlaw, “A Parallel Deconvolution Algorithm in Perfusion Imaging”, in Healthcare Informatics, Imaging, and Systems Biology (HISB), San Jose, California , 2011.
F. Zhu, D. Rodríguez, T. K. Carpenter, M. P. Atkinson, and J. M. Wardlaw, “Lesion Area Detection Using Source Image Correlation Coefficient for CT Perfusion Imaging”, IEEE Journal of Biomedical and Health Informatics, vol. PP, no. 99, pp. 1-8, 2013.
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G. Yaikhom, C. Liew, L. Han, J. van Hemert, M. Atkinson, and A. Krause, “Federated Enactment of Workflow Patterns”, Lecture Notes in Computer Science, vol. 6271. Springer Berlin / Heidelberg, pp. 317-328, 2010.
G. Yaikhom, M. Atkinson, J. van Hemert, O. Corcho, and A. Krause, “Validation and mismatch repair of workflows through typed data streams”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3285-3299, 2011.
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G. Wickler et al., “Using Simulation for Decision Support: Lessons Learned from FireGrid”, in Proceedings of the 6th International Conference on Information Systems for Crisis Response and Management (ISCRAM 2009), Gothenburg, Sweden, 2009.
J. Watt, O. Ajayi, J. Jiang, J. Koetsier, and R. O. Sinnott, “A Shibboleth-Protected Privilege Management Infrastructure for e-Science Education”, in Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2006, Singapore, 2006, p. 357--364.
Y. Wang and L. Han, “On Zero-symmetric BZ-algebras”, Journal of East China University of Science and Technology, vol. 23, no. 6, p. pp 755~761, 1997.
D. W. Walker, M. P. Atkinson, and I. Sommerville, “Special Issue: Selected Papers from the 2004 U.K. e-Science All Hands Meeting”, All Hands Meeting 2004, vol. 19. John Wiley & Sons Ltd, pp. 129-131, 2007.
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A. Voss et al., “Widening Uptake of e-Infrastructure Services”, in 4th International Conference on e-Social Science, Manchester, 2008.
A. Voss et al., “Fostering e-Infrastructures: from user-designer relations to community engagement”, in Symposium on Project Management in e-Science, Oxford, 2008.
A. Voss et al., “e-Research Infrastructure Development and Community Engagement”, in All Hands Meeting 2007, Nottingham, UK, 2007.
A. Voss et al., “Adoption of e-Infrastructure Services: inhibitors, enablers and opportunities”, in 5th International Conference on e-Social Science, Maternushaus, Cologne, 2009.
L. Vaccari, P. Shvaiko, J. Pane, P. Besana, and M. Marchese, “An evaluation of ontology matching in geo-service applications”, Geoinformatica, pp. 1-36, 2011.
L. Vaccari, P. Shvaiko, J. Pane, P. Besana, and M. Marchese, “An evaluation of ontology matching in geo-service applications”, Geoinformatica, pp. 1-36, 2011.
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J. Ure et al., “Data Integration in eHealth: A Domain/Disease Specific Roadmap”, in Studies in Health Technology and Informatics, 2007, vol. 126, p. 144--153.
R. Upadhyay et al., “ An Architecture for an Integrated Fire Emergency Response System for the Built Environment”, in 9th Symposium of the International Association for Fire Safety Science (IAFSS), Karlsruhe, GERMANY, 2008.
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A. Tichopad, T. Bar, L. Pecen, R. R. Kitchen, M. Kubista, and M. W. Pfaffl, “Quality control for quantitative PCR based on amplification compatibility test”, Methods, vol. 50, no. 4, pp. 308-312 , 2010.
A. Tichopad, R. Kitchen, I. Riedmaier, C. Becker, A. Stahlberg, and M. Kubista, “Design and Optimization of Reverse-Transcription Quantitative PCR Experiments”, Clin Chem, p. clinchem.2009.126201, 2009.
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C. Suo and L. Han, “The DWMM network traffic model”, Journal of Communication, vol. 24, no. 5, p. 43~48, 2003.
D. Snelling, “Platforms for Data-Intensive Analysis”, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 197-201.
K. Smith-Miles and J. I. {van Hemert}, “Discovering the suitability of optimisation algorithms by learning from evolved instances”, Annals of Mathematics and Artificial Intelligence, vol. Online Fir, 2011.
K. Smith-Miles, J. van Hemert, and X. Lim, “Understanding TSP Difficulty by Learning from Evolved Instances”, in Lecture Notes in Computer Science, 2010, vol. 6073, pp. 266-280.

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