brain scan

NEUROTEC Lecture Series: Generalizable and democratic AI: from classical techniques to modern neural networks. Prof. Juan Eugenio Iglesias

This time, Juan Eugenio Iglesias gives the conference "Generalizable and democratic AI: from classical techniques to modern neural networks". Juan Eugenio Iglesias. Associate Professor of Radiology, MGH & Harvard Medical School. Research affiliate, Massachusetts Institute of Technology. Honorary Research Fellow, University College London.

Prof. Juan Eugenio Iglesias (Martinos Center for Biomedical Imaging)

Juan Eugenio Iglesias (Associate Professor of Radiology, MGH & Harvard Medical School. Research affiliate, Massachusetts Institute of Technology. Honorary Research Fellow, University College London.)
 

Juan Eugenio Iglesias is Associate Professor of Radiology at the Martinos Center for Biomedical Imaging (Massachusetts General Hospital and Harvard Medical School), where he directs the Laboratory for Ex Vivo Modeling of Neuroanatomy (LEMoN) and co-directs the Center for Machine Learning with Dr. Matt Rosen. Dr. Iglesias also has affiliate appointments at University College London (UCL) and the Massachusetts Institute of Technology (MIT). His research lies at the intersection of artificial intelligence and neuroimaging. His work has enabled the analysis of brain MRI data at a superior level of detail, as well as the application of research neuroimaging methods to scans with low in-plane resolution – including clinical and portable MRI scans. Dr. Iglesias holds MSc degrees in Electrical and Telecommunication Engineering from the Royal Institute of Technology (KTH, Stockholm, Sweden) and the University of Seville, respectively. He completed his PhD in Biomedical Engineering at the University of California, Los Angeles (UCLA) in 2011. He is the recipient of a Fulbright Science of Technology Award, a Marie Curie fellowship, a Starting Grant of the European Research Council, and several NIH grants.

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