Rasmus Røge presented the poster “Unsupervised Segmentation of Task Activated Regions in fMRI” at the Machine Learning for Signal Processing 2015 in Boston.
Morten Mørup gave a talk at ICML workshop on Statistics, Machine Learning and Neuroscience (Stamlins 2015) on Non-parametric Bayesian Modeling of Functional and Structural Brain Connectivity.
The poster on “Quantifying Temporal States in rs-fMRI Data using Bayesian Nonparametrics” was presented at HBM2014. To see the poster click here.
The NeuroImage article “Non-parametric Bayesian graph models reveal community structure in resting state fMRI” is available from:
The paper “Discovering Hierarchical Structure In Normal Relational Data” was presented at Cognitive Information Processing (CIP2014), http://cip2014.conwiz.dk/home.htm#.U6AP0_l_t3E
Paper accepted at PRNI 2014 on modeling structural connectivity in full image resolution.
The following two abstracts will be presented at OHBM 2014:
Josefine Korzen, Kristoffer Hougaard Madsen, Morten Mørup, Quantifying Temporal States in rsfMRI Data using Bayesian Nonparametrics.
Kasper Winther Andersen, Kristoffer H. Madsen, Hartwig Roman Siebner, Mikkel N. Schmidt, Morten Mørup, Lars Kai Hansen, Community structure in resting state complex networks.
Paper accepted for the IEEE International Workshop on Machine Learning for Signal Processing 2013 on a high performance Gibbs sampler for relational modeling of complex networks.
In the programme Videnskabens Verden on Danish Radio P1 Morten Mørup is interviewed about the modeling of brain connectivity, see also http://www.dr.dk/P1/Videnskabensverden/Udsendelser/2013/06/Fremtidens-hjerneatlas.htm
Satellite Symposium organized at NetSci on Complex Networks meet Machine Learning