| Archetypal analysis for modeling multisubject fMRI data JL Hinrich, SE Bardenfleth, RE Røge, NW Churchill, KH Madsen, ... IEEE journal of selected topics in signal processing 10 (7), 1160-1171, 2016 | 30 | 2016 |
| Silver nanoparticles NL Kildeby, OZ Andersen, RE Roge, T Larsen, R Petersen, JF Riis Project group N 344, 2005 | 18 | 2005 |
| Infinite von Mises–Fisher mixture modeling of whole brain fMRI data RE Røge, KH Madsen, MN Schmidt, M Mørup Neural Computation 29 (10), 2712-2741, 2017 | 15 | 2017 |
| Polymer solar cells J Lund, R Røge, R Petersen, T Larsen Aalborg University. Journal of Nanoscience and Nanotechnology 156, 4-75, 2006 | 12 | 2006 |
| Unsupervised segmentation of task activated regions in fMRI RE Røge, KH Madsen, MN Schmidt, M Mørup 2015 IEEE 25th International Workshop on Machine Learning for Signal …, 2015 | 9 | 2015 |
| Whole brain functional connectivity predicted by indirect structural connections R Røge, KS Ambrosen, KJ Albers, CT Eriksen, MG Liptrot, MN Schmidt, ... 2017 International Workshop on Pattern Recognition in Neuroimaging (PRNI), 1-4, 2017 | 8 | 2017 |
| Bayesian Modelling of Functional Whole Brain Connectivity R Røge Technical University of Denmark, 2017 | | 2017 |
| Structures and states P1 Project MV Madsen, NL Kildeby, OZ Andersen, T Larsen, SCM Sørensen, ... | | 2004 |
