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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. Rodriguez, T. Carpenter, M. Atkinson, and J. Wardlaw, Parallel perfusion imaging processing using GPGPU, Computer Methods and Programs in Biomedicine, p. -, 2012.
C. S. Liew, M. P. Atkinson, R. Ostrowski, M. Cole, J. I. van Hemert, and L. Han, Performance database: capturing data for optimizing distributed streaming workflows, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 369, no. 1949, pp. 3268-3284, 2011.
L. Han, The performance model of dynamic Virtual Organization (VO) formations within grid computing context , Chaos, Solitons & Fractals , vol. 40, no. 4, pp. 1599-1608, 2009.
M. Atkinson, Persistence and Java — A Balancing Act , in Objects and Databases, vol. 1944, K. Dittrich, G. Guerrini, I. Merlo, M. Oliva, and E. M. Rodriguez Springer, 2001, pp. 1-31.
M. P. Atkinson, Persistence and Java - A Balancing Act, in Objects and Databases, 2000, pp. 1-31.
H. Evans et al., The pervasiveness of evolution in GRUMPS software, Softw., Pract. Exper., vol. 33, pp. 99-120, 2003.
J. I. van Hemert and N. B. Urquhart, Phase transition properties of clustered travelling salesman problem instances generated with evolutionary computation, in LNCS, Birmingham, UK, 2004, vol. 3242, p. 150--159.
F. Zhu, (PhD Thesis) Brain Perfusion Imaging - Performance and Accuracy. 2012.
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.
A. E. Eiben, D. Elia, and J. I. van Hemert, Population dynamics and emerging features in AEGIS, in Proceedings of the Genetic and Evolutionary Computation Conference, 1999, p. 1257--1264.
S. Gesing, O. Kohlbacher, and J. I. van Hemert, Portals for Life Sciences—a Brief Introduction, in Proceedings of the IWPLS09 International Workshop on Portals for Life Sciences, 2009.
M. Atkinson, Preface, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, p. xix-xxviii.
P. V. Coveney and M. P. Atkinson, Preface. Crossing boundaries: computational science, e-Science and global e-Infrastructure, Philosophical Transactions of the Royal Society Series A, vol. 367, pp. 2425-2427, 2009.
S. Bijani, D. Robertson, and D. Aspinall, Probing Attacks on Multi-agent Systems using Electronic Institutions, Declarative Agent Languages and Technologies Workshop (DALT), AAMAS 2011. 2011.
O. Corcho and J. van Hemert, Problem Solving in Data-Intensive Knowledge Discovery, in THE DATA BONANZA: Improving Knowledge Discovery for Science, Engineering and Business, M. Atkinson et al. John Wiley & Sons Ltd., 2013, pp. 147-163.
S. Gesing and J. I. van Hemert, Proceedings of the 1st International Workshop on Portals for Life Sciences, IWPLS09 International Workshop on Portals for Life Sciences. 2009.
B. Dobrzelecki et al., Profiling OGSA-DAI Performance for Common Use Patterns, in UK e-Science All Hands Meeting, 2006.
J. I. van Hemert, Property analysis of symmetric travelling salesman problem instances acquired through evolution, in Springer Lecture Notes on Computer Science, 2005, p. 122--131.