NeuroGrid: Using Grid technology to advance neuroscience

John Geddes; Sharon Lloyd; Andrew Simpson; Martin Rossor; Nick Fox; Derek Hill; Joseph V. Hajnal; Stephen Lawrie; Andrew McIntosh; Eve Johnstone; Joanna Wardlaw; Dave Perry; Rob Procter; Philip Bath; Ed Bullmore

NeuroGrid: Using Grid technology to advance neuroscience

John Geddes, Sharon Lloyd, Andrew Simpson, Martin Rossor, Nick Fox, Derek Hill, Joseph V. Hajnal, Stephen Lawrie, Andrew McIntosh, Eve Johnstone, Joanna Wardlaw, Dave Perry, Rob Procter, Philip Bath, Ed Bullmore

Sociology

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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Abstract

Large - scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply this to three exemplar areas: stroke, dementia and psychosis, to conduct collaborative neuroscience research. © 2005 IEEE.

Original language	English
Title of host publication	Proceedings - IEEE Symposium on Computer-Based Medical Systems\|Proc. IEEE Symp. Comput.-Based Med. Syst.
Pages	570-572
Number of pages	2
Publication status	Published - 2005
Event	18th IEEE Symposium on Computer-Based Medical Systems - Dublin, Ireland Duration: 1 Jul 2005 → …

Conference

Conference	18th IEEE Symposium on Computer-Based Medical Systems
City	Dublin, Ireland
Period	1/07/05 → …

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Geddes, J., Lloyd, S., Simpson, A., Rossor, M., Fox, N., Hill, D., Hajnal, J. V., Lawrie, S., McIntosh, A., Johnstone, E., Wardlaw, J., Perry, D., Procter, R., Bath, P., & Bullmore, E. (2005). NeuroGrid: Using Grid technology to advance neuroscience. In Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst. (pp. 570-572)

@inproceedings{77839be987254c8fa53da91dce81e5bc,

title = "NeuroGrid: Using Grid technology to advance neuroscience",

abstract = "Large - scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply this to three exemplar areas: stroke, dementia and psychosis, to conduct collaborative neuroscience research. {\textcopyright} 2005 IEEE.",

author = "John Geddes and Sharon Lloyd and Andrew Simpson and Martin Rossor and Nick Fox and Derek Hill and Hajnal, {Joseph V.} and Stephen Lawrie and Andrew McIntosh and Eve Johnstone and Joanna Wardlaw and Dave Perry and Rob Procter and Philip Bath and Ed Bullmore",

year = "2005",

language = "English",

pages = "570--572",

booktitle = "Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.",

note = "18th IEEE Symposium on Computer-Based Medical Systems ; Conference date: 01-07-2005",

}

Geddes, J, Lloyd, S, Simpson, A, Rossor, M, Fox, N, Hill, D, Hajnal, JV, Lawrie, S, McIntosh, A, Johnstone, E, Wardlaw, J, Perry, D, Procter, R, Bath, P & Bullmore, E 2005, NeuroGrid: Using Grid technology to advance neuroscience. in Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.. pp. 570-572, 18th IEEE Symposium on Computer-Based Medical Systems, Dublin, Ireland, 1/07/05.

TY - GEN

T1 - NeuroGrid: Using Grid technology to advance neuroscience

AU - Geddes, John

AU - Lloyd, Sharon

AU - Simpson, Andrew

AU - Rossor, Martin

AU - Fox, Nick

AU - Hill, Derek

AU - Hajnal, Joseph V.

AU - Lawrie, Stephen

AU - McIntosh, Andrew

AU - Johnstone, Eve

AU - Wardlaw, Joanna

AU - Perry, Dave

AU - Procter, Rob

AU - Bath, Philip

AU - Bullmore, Ed

PY - 2005

Y1 - 2005

N2 - Large - scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply this to three exemplar areas: stroke, dementia and psychosis, to conduct collaborative neuroscience research. © 2005 IEEE.

AB - Large - scale clinical studies in neuro-imaging are hampered by several factors including variances in acquisition techniques, quality assurance and access to remote datasets. The Neurogrid project will build on the experience of other UK e-science projects to assemble a grid infrastructure, and apply this to three exemplar areas: stroke, dementia and psychosis, to conduct collaborative neuroscience research. © 2005 IEEE.

M3 - Conference contribution

SP - 570

EP - 572

BT - Proceedings - IEEE Symposium on Computer-Based Medical Systems|Proc. IEEE Symp. Comput.-Based Med. Syst.

T2 - 18th IEEE Symposium on Computer-Based Medical Systems

Y2 - 1 July 2005

ER -

NeuroGrid: Using Grid technology to advance neuroscience

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UN SDGs

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