| Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study A Sidaros, AW Engberg, K Sidaros, MG Liptrot, M Herning, P Petersen, ... Brain 131 (2), 559-572, 2007 | 549 | 2007 |
| Long-term global and regional brain volume changes following severe traumatic brain injury: a longitudinal study with clinical correlates A Sidaros, A Skimminge, MG Liptrot, K Sidaros, AW Engberg, M Herning, ... Neuroimage 44 (1), 1-8, 2009 | 197 | 2009 |
| Feature‐space clustering for fMRI meta‐analysis C Goutte, LK Hansen, MG Liptrot, E Rostrup Human Brain Mapping 13 (3), 165-183, 2001 | 155 | 2001 |
| The CONNECT project: Combining macro- and micro-structure Y Assaf, DC Alexander, DK Jones, A Bizzi, T Behrens, CA Clark, Y Cohen, ... Neuroimage 80, 273-282, 2013 | 105 | 2013 |
| Cluster analysis in kinetic modelling of the brain: a noninvasive alternative to arterial sampling M Liptrot, KH Adams, L Martiny, LH Pinborg, MN Lonsdale, NV Olsen, ... NeuroImage 21 (2), 483-493, 2004 | 91 | 2004 |
| Validation of tractography: Comparison with manganese tracing TR Knösche, A Anwander, M Liptrot, TB Dyrby Human brain mapping 36 (10), 4116-4134, 2015 | 85 | 2015 |
| Impact of bacteremia on the pathogenesis of experimental pneumococcal meningitis CT Brandt, D Holm, M Liptrot, C Østergaard, JD Lundgren, ... The Journal of infectious diseases 197 (2), 235-244, 2008 | 34 | 2008 |
| Healthy aging attenuates task-related specialization in the human medial temporal lobe TZ Ramsøy, MG Liptrot, A Skimminge, TE Lund, K Sidaros, ... Neurobiology of aging 33 (9), 1874-1889, 2012 | 27 | 2012 |
| Addressing the Path-Length-Dependency Confound in White Matter Tract Segmentation MG Liptrot, K Sidaros, TB Dyrby PLoS ONE 9 (5), e96247, 2014 | 24 | 2014 |
| In vivo study of experimental pneumococcal meningitis using magnetic resonance imaging C Brandt, H Simonsen, M Liptrot, L Søgaard, J Lundgren, C Østergaard, ... BMC medical imaging 8 (1), 1, 2008 | 23 | 2008 |
| Regional activation of the human medial temporal lobe during intentional encoding of objects and positions TZ Ramsøy, MG Liptrot, A Skimminge, TE Lund, K Sidaros, ... Neuroimage 47 (4), 1863-1872, 2009 | 18 | 2009 |
| A Random Riemannian Metric for Probabilistic Shortest-Path Tractography S Hauberg, M Schober, M Liptrot, P Hennig, A Feragen Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015 | 14 | 2015 |
| Interpolation of DWI prior to DTI reconstruction, and its validation TB Dyrby, HM Lundell, MG Liptrot, MW Burke, M Ptito, HR Siebner Proc. Intl. Soc. Mag. Reson. Med 19, 2011 | 14 | 2011 |
| " Iyngby"-A modeler's matlab toolbox for spatio-temporal analysis of functional neuroimages LK Hansen, FÅ Nielsen, P Toft, MG Liptrot, C Goutte, SC Strother, ... Neuroimage 9 (6 PART II), 1999 | 13 | 1999 |
| Training shortest-path tractography: Automatic learning of spatial priors N Kasenburg, M Liptrot, NL Reislev, SN Ørting, M Nielsen, E Garde, ... NeuroImage 130, 63-76, 2016 | 8 | 2016 |
| Whole brain functional connectivity predicted by indirect structural connections R Røge, KS Ambrosen, KJ Albers, CT Eriksen, MG Liptrot, MN Schmidt, ... Pattern Recognition in Neuroimaging (PRNI), 2017 International Workshop on, 1-4, 2017 | 4 | 2017 |
| Standardizing MR image intensity in multi-center studies T Dyrby, MG Liptrot Proc. Int. Soc. Magn. Reson. Med 13, 631, 2005 | 3 | 2005 |
| lyngby 2.0—A modeler's matlab tool☐ for spatio-temporal analysis of functional neuroimages LK Hansen, FÅ Nielsen, MG Liptrot, C Goutte, SC Strother, N Lange, ... NeuroImage 11 (5), S917, 2000 | 3 | 2000 |
| Collocation for Diffeomorphic Deformations in Medical Image Registration S Darkner, A Pai, MG Liptrot, J Sporring IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 | 2 | 2017 |
| Supervised hub-detection for brain connectivity N Kasenburg, M Liptrot, NL Reislev, E Garde, M Nielsen, A Feragen SPIE Medical Imaging, 978409-978409-9, 2016 | 1 | 2016 |
Olaf B. PaulsonRigshospitalet, Copenhagen University, DenmarkBekræftet mail på nru.dk
