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Christian Beckmann is PI Statistical Imaging Neuroscience at the Centre for Cognitive Neuroimaging of the Donders Institute at Radboud University Nijmegen. He is a Senior Research Fellow at the Oxford Centre for Functional Magnetic Resonance Imaging of the Brain (FMRIB), Oxford, UK.
His research focuses on developing novel computational methods for data understanding & fusion in cognitive and clinical neuroimaging domains that will enable creation of advanced tools for the integrated modelling of multiple neuroimaging, behavioural and biological modalities in order to develop sensitive, robust and specific markers of brain function in health and disease. Research in the SIN group focuses on establishing resting-state functional connectivity (rfMRI) analysis from BOLD fMRI measures as a means for understanding functional organisation and communication in the brain.
Christian is widely acknowledged for developing methods for image analysis, machine learning and imaging statistics. As a participating PI, his contribution is to support the five scientific WPs with crucial methodological and clinical-translational expertise and infrastructure. In particular, his group hosts the WP6 postdoc in order to provide an integrated acquisition and analysis pipeline that is maintained at the ‘state of the art’ while also generating novel techniques that will be tailored to the specific needs of this consortium.
His research focuses on developing novel computational methods for data understanding & fusion in cognitive and clinical neuroimaging domains that will enable creation of advanced tools for the integrated modelling of multiple neuroimaging, behavioural and biological modalities in order to develop sensitive, robust and specific markers of brain function in health and disease. Research in the SIN group focuses on establishing resting-state functional connectivity (rfMRI) analysis from BOLD fMRI measures as a means for understanding functional organisation and communication in the brain.
Christian is widely acknowledged for developing methods for image analysis, machine learning and imaging statistics. As a participating PI, his contribution is to support the five scientific WPs with crucial methodological and clinical-translational expertise and infrastructure. In particular, his group hosts the WP6 postdoc in order to provide an integrated acquisition and analysis pipeline that is maintained at the ‘state of the art’ while also generating novel techniques that will be tailored to the specific needs of this consortium.
研究兴趣
论文共 234 篇作者统计合作学者相似作者
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eLife (2023)
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biorxiv(2022)
Hanh Nguyen-Kim,Christiane Beckmann,Maurice Redondo, Jérémy Ziliox, Virginie Vallet, Karin Berger-Sturm, Jan Von Overbeck,Lavinia Alberi Auber
medrxiv(2022)
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