Morten Mørup

  1. 2017
  2. Submitted

    Bayesian Modelling of Functional Whole Brain Connectivity. / Røge, Rasmus; Mørup, Morten (Main supervisor); Schmidt, Mikkel Nørgaard (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2017. 149 p. (DTU Compute PHD-2017; No. 445).

    Publication: ResearchPh.D. thesis – Annual report year: 2017

  3. Published

    Examination of heterogeneous societies: Identifying subpopulations by contrasting cultures. / Glückstad, Fumiko Kano; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    In: Journal of Cross-Cultural Psychology, Vol. 48, No. 1, 2017, p. 39– 57.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  4. Published

    Quantifying functional connectivity in multi-subject fMRI data using component models. / Madsen, Kristoffer Hougaard; Churchill, Nathan William; Mørup, Morten.

    In: Human Brain Mapping, Vol. 38, No. 2, 2017, p. 882–899.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  5. Published

    The missing link: Predicting connectomes from noisy and partially observed tract tracing data. / Hinne, Max; Meijers, Annet; Bakker, Rembrandt; Tiesinga, Paul H E; Mørup, Morten; van Gerven, Marcel A J.

    In: PLoS Computational Biology, Vol. 13, No. 1, e1005374, 2017.

    Publication: Research - peer-reviewJournal article – Annual report year: 2017

  6. 2016
  7. Published

    Archetypal Analysis for Modeling Multisubject fMRI Data. / Hinrich, Jesper Løve; Bardenfleth, Sophia Elizabeth; Røge, Rasmus; Churchill, Nathan William; Madsen, Kristoffer Hougaard; Mørup, Morten.

    In: I E E E Journal on Selected Topics in Signal Processing, Vol. 10, No. 7, 2016, p. 1160-1171.

    Publication: Research - peer-reviewJournal article – Annual report year: 2016

  8. Published

    Bayesian latent feature modeling for modeling bipartite networks with overlapping groups. / Jørgensen, Philip H. ; Mørup, Morten; Schmidt, Mikkel Nørgaard; Herlau, Tue.

    Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016). IEEE, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  9. Accepted/In press

    Completely random measures for modelling block-structured sparse networks. / Herlau, Tue; Schmidt, Mikkel Nørgaard; Mørup, Morten.

    Advances in Neural Information Processing (NIPS 2016). Neural Information Processing Systems Foundation, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

  10. Published

    Decomposition and classification of electroencephalography data. / Frølich, Laura; Andersen, Tobias (Main supervisor); Mørup, Morten (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2016. 208 p. (DTU Compute PHD-2016; No. 408).

    Publication: ResearchPh.D. thesis – Annual report year: 2016

  11. Submitted

    Effective connectivity and gamma oscillations in a group at risk of psychosis. / Larsen, Kit Melissa; Mørup, Morten (Supervisor).

    Kgs. Lyngby : Technical University of Denmark (DTU), 2016. 118 p. (DTU Compute PHD-2016; No. 440).

    Publication: ResearchPh.D. thesis – Annual report year: 2016

  12. Published

    Independent vector analysis for capturing common components in fMRI group analysis. / Engberg, Astrid Margareta Elisabet; Andersen, Kasper W.; Mørup, Morten; Madsen, Kristoffer Hougaard.

    Proceedings of the 6th International Workshop on Pattern Recognition in Neuroimaging (PRNI 2016). IEEE, 2016.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2016

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