{"id":17,"date":"2013-07-03T15:06:25","date_gmt":"2013-07-03T15:06:25","guid":{"rendered":"https:\/\/brainconnectivity.compute.dtu.dk\/?page_id=17"},"modified":"2021-08-06T10:56:51","modified_gmt":"2021-08-06T10:56:51","slug":"publications","status":"publish","type":"page","link":"https:\/\/brainconnectivity.compute.dtu.dk\/?page_id=17","title":{"rendered":"Publications"},"content":{"rendered":"<p><strong>Peer reviewed journal articles<\/strong><\/p>\n<ul>\n<li id=\"screen-reader-main-title\" class=\"Head u-font-serif u-h2 u-margin-s-ver\"><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S105381192100447X\"><span class=\"title-text\"><span style=\"color: #000000;\">Kristoffer J Albers, Karen S Ambrosen, Matthew G Liptrot, Tim B Dyrby, Mikkel N Schmidt, Morten M\u00f8rup, &#8220;Using connectomics for predictive assessment of brain parcellations&#8221;, NeuroImage(2021)<\/span><\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811919307980\">Karen S. Ambrosen, Simon F. Eskildsen, Max Hinne, Kristine Krug, Henrik Lundell, Mikkel N .Schmidt, Marcel A. J .van Gerven, Morten M\u00f8rup, Tim B. Dyrby,<span class=\"title-text\">\u00a0&#8220;Validation of structural brain connectivity networks: The impact of scanning parameters&#8221;, NeuroImage(2020)<\/span><\/a><\/li>\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811917311084\">S\u00f8ren F.V. Nielsen, Mikkel N. Schmidt, Kristoffer H. Madsen, Morten M\u00f8rup. &#8220;Predictive assessment of models for dynamic functional connectivity&#8221;, NeuroImage (2017) <\/a><\/li>\n<li><a href=\"https:\/\/www.mitpressjournals.org\/doi\/abs\/10.1162\/neco_a_01000\"> Rasmus E. R\u00f8ge, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten M\u00f8rup. &#8220;Infinite von Mises\u2013Fisher Mixture Modeling of Whole Brain fMRI Data&#8221;, Neural Computation (2017) <\/a><\/li>\n<li><a href=\"http:\/\/journals.plos.org\/ploscompbiol\/article?id=10.1371\/journal.pcbi.1005374\"> Max Hinne , Annet Meijers, Rembrandt Bakker, Paul H. E. Tiesinga, Morten M\u00f8rup, Marcel A. J. van Gerven. &#8220;The missing link: Predicting connectomes from noisy and partially observed tract tracing data. Plos One Computational Biology (2017)<\/a><\/li>\n<li><a href=\"http:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/hbm.23425\/full\"> Kristoffer H. Madsen, Nathan W.Churchill, and Morten M\u00f8rup. &#8220;Quantifying functional connectivity in multi-subject fMRI data using component models&#8221; Human Brain Mapping (2016).<\/a><\/li>\n<li><a href=\"http:\/\/www.mitpressjournals.org\/doi\/abs\/10.1162\/NECO_a_00877#.V9KhOPmLRD8\">Nathan W.Churchill, Kristoffer H. Madsen, and Morten M\u00f8rup. &#8220;The Functional Segregation and Integration Model: Mixture Model Representations of Consistent and Variable Group-Level Connectivity in fMRI.&#8221; Neural Computation (2016).<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=7523967&amp;isnumber=5418892\">Jesper L. Hinrich; Sophia Bardenfleth; Rasmus R\u00f8ge; Nathan Churchill; Kristoffer H. Madsen; Morten M\u00f8rup, &#8220;Archetypal Analysis for Modeling Multi-Subject fMRI Data,&#8221; in IEEE Journal of Selected Topics in Signal Processing , vol.PP, no.99, pp.1-1<br \/>\ndoi: 10.1109\/JSTSP.2016.2595103<\/a><\/li>\n<li><a href=\"http:\/\/journals.aps.org\/pre\/pdf\/10.1103\/PhysRevE.90.032819\">Tue Herlau, Mikkel N. Schmidt, Morten M\u00f8rup, &#8220;Infinite-Degree-Corrected Stochastic Block Model&#8221;, <i>Physical Review E<\/i>, vol. 90(3), 032819, 2014.<\/a><\/li>\n<li><a href=\"http:\/\/www.sciencedirect.com\/science\/article\/pii\/S1053811914004686\">Kasper Winther Andersen, Kristoffer H. Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten M\u00f8rup, Lars Kai Hansen, &#8220;Non-parametric Bayesian graph models reveal community structure in resting state fMRI&#8221;, <i>NeuroImage<\/i>, 2014.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=6494690\">M. N. Schmidt, M. M\u00f8rup, &#8220;Non-parametric Bayesian modeling of complex networks. An introduction&#8221;,\u00a0<i>IEEE Signal Processing Magazine<\/i>, vol. 30(3), pp. 110-128, 2013.<\/a><\/li>\n<\/ul>\n<p><strong>Peer reviewed conference articles<\/strong><\/p>\n<ul>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/document\/7981496\/\"> R. R\u00f8ge, K. S. Ambrosen, K. J. Albers, C. T. Eriksen, M. G. Liptrot, M. N. Schmidt, K. H. Madsen, M. M\u00f8rup, \u201cWhole Brain Functional Connectivity Predicted by Indirect Structural Connection\u201d, PRNI 2017.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/document\/7981505\/\"> S\u00f8ren F.V. Nielsen, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten M\u00f8rup. \u201cModeling Dynamic Functional Connectivity using a Wishart Mixture Model\u201d, PRNI 2017.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/document\/7953371\/\"> J. L. Hinrich, S. F. V. Nielsen, N. A. B. Riis, C. T. Eriksen, J. Fr\u00f8sig, M. D. F. Kristensen, M. N. Schmidt, K. H. Madsen, M. M\u00f8rup, \u201cScalable group level probabilistic sparse factor analysis\u201d, ICASSP 2017.<\/a><\/li>\n<li><a href=\"https:\/\/papers.nips.cc\/paper\/6521-completely-random-measures-for-modelling-block-structured-sparse-networks\">Tue Herlau, Mikkel N. Schmidt, Morten M\u00f8rup, Completely random measures for modelling block-structured sparse networks, NIPS 2016.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/document\/7738908\/\"> Kristoffer J. Albers, Morten M\u00f8rup, Mikkel N. Schmidt, The influence of hyper-parameters in the infinite relational model, Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/document\/7738845\/\"> Philip H. J\u00f8rgensen, Morten M\u00f8rup, Mikkel N. Schmidt, T. Herlau, Bayesian latent feature modeling for modeling bipartite networks with overlapping groups, Machine Learning for Signal Processing (MLSP), 2016 IEEE 26th International Workshop on.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?tp=&amp;arnumber=7552357&amp;isnumber=7552322\">Jesper L. Hinrich, S\u00f8ren F. V. Nielsen, Kristoffer H. Madsen and M. M\u00f8rup, &#8220;Variational group-PCA for intrinsic dimensionality determination in fMRI data,&#8221; 2016 International Workshop on Pattern Recognition in Neuroimaging (PRNI), Trento, Italy, 2016, pp. 1-4.<br \/>\n<\/a><\/li>\n<li><a href=\"http:\/\/orbit.dtu.dk\/ws\/files\/118438731\/nielsen2015mlini_1.pdf\"> S\u00f8ren F\u00f8ns Vind Nielsen, Kristoffer H. Madsen, Rasmus R\u00f8ge, Mikkel N. Schmidt, Morten M\u00f8rup, Nonparametric modeling of dynamic functional connectivity in fmri data, Proceedings of the 5th NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI 2015), 2015. <\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpl\/articleDetails.jsp?arnumber=7324384\"> Rasmus R\u00f8ge, Kristoffer H. Madsen, Mikkel N. Schmidt, Morten M\u00f8rup, Unsupervised segmentation of task activated regions in fmRI. Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015 <\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=7362891&amp;tag=1\"> Mikkel N. Schmidt, Kristoffer J. Albers, Numerical approximations for speeding up MCMC inference in the infinite relational model. Signal Processing Conference (EUSIPCO), 2015 23rd European <\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6958919\">S\u00f8ren F\u00f8ns Vind Nielsen, Morten M\u00f8rup, Non-negative Tensor Factorization with Missing Data for the Modeling of Gene Expressions in the Human Brain. IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2014. <\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6844498&amp;tag=1\"> Mikkel N. Schmidt, Tue Herlau, Morten M\u00f8rup, Discovering Hierarchical Structure In Normal Relational Data. 4th International Workshop on Cognitive Information Processing, 2014.<\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/xpls\/abs_all.jsp?arnumber=6858507&amp;tag=1\"> Karen S. Ambrosen, Kristoffer J. Albers, Tim Dyrby, Mikkel N. Schmidt and Morten M\u00f8rup. Nonparametric Bayesian Clustering of Structural Whole Brain Connectivity in Full Image Resolution. 4th International Workshop on Pattern Recognition in NeuroImaging (PRNI2014), 2014 <\/a><\/li>\n<li><a href=\"http:\/\/ieeexplore.ieee.org\/stamp\/stamp.jsp?arnumber=06603554\"> Karen S. Ambrosen, Tue Herlau, Tim Dyrby, Mikkel N. Schmidt and Morten M\u00f8rup. Comparing Structural Brain Connectivity by the Infinite Relational Model. 3rd International Workshop on Pattern Recognition in NeuroImaging (PRNI2013), 2013<\/a><\/li>\n<li>\n<p style=\"display: inline !important;\">Kristoffer Jon Albers, Andreas Leon Aagard Moth, Morten M\u00f8rup, Mikkel N. Schmidt,\u00a0Large Scale Inference in the Infinite Relational Model: Gibbs Sampling is not Enough.<\/p>\n<p style=\"display: inline !important;\">\u00a0IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING, 2013<\/p>\n<\/li>\n<\/ul>\n<p><strong>Peer reviewed abstracts<\/strong><\/p>\n<ul>\n<li>Josefine Korzen, Kristoffer H. Madsen, Morten M\u00f8rup, Quantifying Temporal States in rsfMRI Data using Bayesian Nonparametrics. Organization for Human Brain Mapping 2014. <a href=\"https:\/\/brainconnectivity.compute.dtu.dk\/wp-content\/uploads\/2014\/06\/HBM2014.pdf\"> Click here to see poster.<\/a><\/li>\n<li>Kasper W. Andersen, Kristoffer H. Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten M\u00f8rup, Lars Kai Hansen, Community structure in resting state complex networks. Organization for Human Brain Mapping 2014<\/li>\n<\/ul>\n<p><strong>In the media<\/strong><\/p>\n<ul>\n<li><a href=\"http:\/\/videnskab.dk\/krop-sundhed\/forskere-vil-lave-google-street-view-i-hjernen\">Forskere vil lave &#8216;Google Street View&#8217; i hjernen, Videnskab.dk, 25. juni 2013<\/a><\/li>\n<li><a href=\"http:\/\/player.fm\/series\/videnskabens-verden-22835\/videnskabens-verden-fremtidens-hjerneatlas-13-06-25\">Fremtidens hjerneatlas, Videnskabens Verden\u00a025. juni 2013 kl. 14:03 p\u00e5 P1<\/a><\/li>\n<\/ul>\n<p><strong>\u00a0<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Peer reviewed journal articles Kristoffer J Albers, Karen S Ambrosen, Matthew G Liptrot, Tim B Dyrby, Mikkel N Schmidt, Morten M\u00f8rup, &#8220;Using connectomics for predictive assessment of brain parcellations&#8221;, NeuroImage(2021) Karen S. Ambrosen, Simon F. Eskildsen, Max Hinne, Kristine Krug, Henrik Lundell, Mikkel N .Schmidt, Marcel A. J .van Gerven, Morten M\u00f8rup, Tim B. Dyrby,\u00a0&#8220;Validation [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"open","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-17","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/pages\/17","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=17"}],"version-history":[{"count":51,"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/pages\/17\/revisions"}],"predecessor-version":[{"id":246,"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=\/wp\/v2\/pages\/17\/revisions\/246"}],"wp:attachment":[{"href":"https:\/\/brainconnectivity.compute.dtu.dk\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=17"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}