Name
Abstract | ||
|---|---|---|
Dynamic graphs are natural abstractions for modeling correlations in brain activity. These correlation graphs are constructed from time-series signals corresponding to neuronal activity in different regions of the brain over suitably selected time windows, by linking correlated regions via edges. An important problem in the context of these dynamic correlation graphs is the discovery of sets of re... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ICIP42928.2021.9506581 | 2021 IEEE International Conference on Image Processing (ICIP) |
Keywords | DocType | ISBN |
Knowledge engineering,Analytical models,Correlation,Magnetic resonance imaging,Image processing,Conferences,Time series analysis | Conference | 978-1-6654-4115-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ravindra Vikram | 1 | 0 | 1.01 |
| Geoffrey Sanders | 2 | 44 | 10.66 |
| Ananth Grama | 3 | 5 | 3.14 |