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UPDATE: We are delighted to announce that EPSRC have funded our CDT for five more years under the new name EPSRC Centre for Doctoral Training in Intelligent Integrated Imaging in Healthcare (i4health).

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Juan Eugenio Iglesias

Translational Imaging Group

Translational Imaging Group Medical Physics and Biomedical Engineering Department 8.19 Malet Place Engineering Building London WC1E 6BT


I studied telecom engineering at the University of Seville (Spain), and then moved to Stockholm (Sweden) for a second M.Sc. degree in electrical engineering at the Royal Institute of Technology (KTH), where I also completed a master’s program in wireless systems with a Ernst Johnson fellowship. I got involved in medical applications for the first time during my M.Sc. thesis work at the Karolinska Institute, also in Stockholm. After two research assistantships at the University of Seville and the University of Copenhagen (Denmark), I carried out my doctoral studies in biomedical engineering at the University of California, Los Angeles (UCLA, in USA) with a Fulbright Science & Technology grant. After my Ph.D., I was a postdoctoral fellow for two and a half years at the Martinos Center for Biomedical Imaging in Boston (USA), and a Marie Curie fellow for two years at the Basque Center on Cognition, Brain and Language in San Sebastian (Spain). I joined TIG in May 2016 with a Starting Grant of the European Research Council (ERC) with the title: “Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies”.


My research has recently been focused on building high resolution models of human brain anatomy with ex vivo imaging data. Using brains from cadavers, we can acquire MRI data for a long time, which yields images with very high resolution. We can also perform histological slicing and analysis of the images, which yields excellent contrast between brain structures. Ex vivo MRI and histology can be combined to build very accurate models of brain anatomy, which can in turn be applied to automatically analyze in vivo MRI scans at high resolution for a wide range of neuroimaging studies.

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