Searched for: subject%3A%22connections%22
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Zonneveld, Hazel I. (author), Pruim, R.H.R. (author), Bos, Daniel (author), Vrooman, Henri A. (author), Muetzel, Ryan L. (author), Hofman, Albert (author), Rombouts, Serge ARB (author), van der Lugt, Aad (author), Niessen, W.J. (author)
Structural brain markers are studied extensively in the field of neurodegeneration, but are thought to occur rather late in the process. Functional measures such as functional connectivity are gaining interest as potentially more subtle markers of neurodegeneration. However, brain structure and function are also affected by ‘normal’ brain...
journal article 2019
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Polfliet, Mathias (author), Klein, S. (author), Niessen, W.J. (author), Vandemeulebroucke, Jef (author)
Multimodal groupwise registration has been of growing interest to the image processing community due to developments in scanner technologies (e.g. multiparametric MRI, DCE-CT or PET-MR) that increased both the number of modalities and number of images under consideration. In this work a novel methodology is presented for multimodal groupwise...
conference paper 2017
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De Boer, R. (author), Schaap, M. (author), Van der Lijn, F. (author), Vrooman, H.A. (author), De Groot, M. (author), Van der Lugt, A. (author), Ikram, M.A. (author), Vernooij, M.W. (author), Breteler, M.M.B. (author), Niessen, W.J. (author)
Diffusion MRI can be used to study the structural connectivity within the brain. Brain connectivity is often represented by a binary network whose topology can be studied using graph theory. We present a framework for the construction of weighted structural brain networks, containing information about connectivity, which can be effectively...
journal article 2010