All Outputs (3)

Grid infrastructures for computational neuroscience: The neuGRID example (2009)
Journal Article
Spenger, C., Barkhof, F., Redolfi, A., McClatchey, R., Anjum, A., Zijdenbos, A., …Frisoni, G. B. (2009). Grid infrastructures for computational neuroscience: The neuGRID example. Future Neurology, 4(6), 703-722. https://doi.org/10.2217/fnl.09.53

Neuroscience is increasingly making use of statistical and mathematical tools to extract information from images of biological tissues. Computational neuroimaging tools require substantial computational resources and the increasing availability of la... Read More about Grid infrastructures for computational neuroscience: The neuGRID example.

Rule-based querying of distributed, heterogeneous data (2009)
Journal Article
Lansdale, T., Bloodsworth, P., Anjum, A., Habib, I., Mehmood, Y., & McClatchey, R. (2009). Rule-based querying of distributed, heterogeneous data. IETE Technical Review, 26(5), 363-368. https://doi.org/10.4103/0256-4602.55274

When searching for data, users tend to think in terms of the information they need to retrieve and not where and how it is stored. This is especially true in the highly complex domain of neurological research. The -generic medical querying service de... Read More about Rule-based querying of distributed, heterogeneous data.

Semantic matching using the UMLS (2009)
Journal Article
Shamdasani, J., Hauer, T., Bloodsworth, P., Branson, A., Odeh, M., & McClatchey, R. (2009). Semantic matching using the UMLS