Kasper Winther Andersen

Email

Tel.

+45 3862 2852

Position

Postdoc

Research Interests

My main interest is in estimating brain connectivity using functional and diffusion MRI techniques in combination with advanced data modelling. I am using machine learning and graph theoretical approaches to model the healthy brain and to understand how diseases like multiple sclerosis affects brain connectivity at a global and local level.

Research Groups

ContAct
Microstructure and Plasticity Group
Computational Modelling and Analysis
Traumatic Brain Injury
Multiple Sclerosis

Curriculum Vitae

Education

2014

PhD, DTU Compute, Technical University of Denmark

2006

Master of Science in Engineering, Technical University of Denmark

Employments

2014 - Present

PostDoc, DRCMR

2010 - 2014

PhD Student, DTU Compute, Technical University of Denmark & DRCMR

2010 - 2010

Research Assistant, IMM, Technical University of Denmark

2007 - 2010

Research Specialist, Department of Psychiatry, University of California, San Francisco, USA

2007 - 2007

Postgraduate Associate, Department of Psychiatry, Yale University, USA

2006 - 2006

Research Assistant, IMM, Technical University of Denmark

Full CV

Publications

Andersen KW, Madsen KH, Siebner HR, Schmidt MN, Mørup M, and Hansen LK (2014), ‘Non-parametric Bayesian graph models reveal community structure in resting state fMRI’, NeuroImage 100, 301-315.

Dogonowski AM*, Andersen KW*, Madsen KH, Sørensen PS, Paulson OB, Blinkenberg M, and Siebner HR (2014). ’Multiple sclerosis impairs regional functional connectivity in the cerebellum’, NeuroImage: Clinical, 4, 130–138. (* Shared first-author)

Jørgensen KW and Hansen LK (2012). ‘Model Selection for Gaussian Kernel PCA Denoising’, Neural Networks and Learning Systems, IEEE Transactions on, 23(1), 163–168.

Fryer SL, Jorgensen, KW, Yetter EJ, Daurignac EC, Watson TD, Shanbhag H, Krystal JH, Mathalon DH (2012). ‘Differential brain response to alcohol cue distractors across stages of alcohol dependence’, Biological Psychology, 92(2), 282–291.

Brown GG, Mathalon DH, Stern H, Ford J, Mueller B, Greve DN, McCarthy G, Voyvodic J, Glover GH, Diaz M, Yetter E, Ozyurt IB, Jorgensen KW, Wible CG, Turner JA, Thompson WK, Potkin SG, and the Function Biomedical Informatics Research Network (2011). ‘Multisite reliability of cognitive BOLD data’, NeuroImage, 54(3), 2163–2175.

Mathalon DH, Jorgensen KW, Roach BJ, and Ford JM (2009). ‘Error detection failures in schizophrenia: ERPs and FMRI’, International Journal of Psychophysiology, 73(2), 109–17.

Ford JM, Roach BJ, Jorgensen KW, Turner JA, Brown GG, Notestine R, Bischoff-Grethe A, Greve D N, Wible C, Lauriello J, Belger A, Mueller BA, Calhoun V, Preda A, Keator D, O'Leary DS, Lim KO, Glover GH, Potkin SG, and Mathalon DH (2009). ‘Tuning in to the voices: a multisite FMRI study of auditory hallucinations’, Schizophrenia Bulletin, 35(1), 58–66.