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Juan Eugenio Iglesias
Medical Imaging researcher at MGH / Harvard Medical School
Juan Eugenio Iglesias is an Associate Professor of Radiology at Harvard Medical School and the Massachusetts General Hospital (MGH).14 He is also the Director of the Laboratory for Ex vivo Modeling of Neuroanatomy (LEMoN) and Co-director of the Center for Machine Learning at the Martinos Center for Biomedical Imaging.25
Education and Career
Iglesias holds MSc degrees in Electrical Engineering from the Royal Institute of Technology (KTH) in Stockholm, Sweden, and in Telecommunication Engineering from the University of Seville, Spain.14 He completed his PhD in Biomedical Engineering at the University of California, Los Angeles (UCLA) in 2011.1
Research Focus
His research lies at the intersection of artificial intelligence and neuroimaging.2 Iglesias's work has enabled the analysis of brain MRI data at a superior level of detail and the application of research neuroimaging methods to scans with low in-plane resolution, including clinical and portable MRI scans.2
Achievements and Affiliations
- Recipient of a Fulbright Science of Technology Award, a Marie Curie fellowship, and a Starting Grant of the European Research Council2
- Research affiliate at the Massachusetts Institute of Technology (MIT)4
- Previously held positions at University College London (UCL) and the Basque Center on Cognition, Brain and Language (BCBL)4
Iglesias has made significant contributions to the field of medical image analysis, with numerous highly-cited publications in prestigious journals.3
Highlights
Research tech job opening in our lab, working on:
- Mapping the human brain (NIH BRAIN Initiative).
- Portable MR imaging.
- Big data analysis of underrepresented populations. Tons of training & travel opportunities. Apply here (it's OK not to have all the required experience): https://lnkd.in/gDzZx35p
After seven (7!) years of data collection and methods development, involving >20 researchers at 10 different institutions, we are super excited to release NextBrain, a next-gen probabilistic atlas of the human brain with 333 regions: https://lnkd.in/e3abkgUB NextBrain is built from 10,000 histological sections from 5 donated brains, that we reconstructed in 3D and thoroughly labeled. You can also interactively explore the data here: https://lnkd.in/eMp58HQQ
The data from the five specimens were combined into a probabilistic atlas of the human brain describing 333 regions, which can be used as a common coordinate frame for automated segmentation of those regions in scans of living people.
Code & data all freely available! -Main web: https://lnkd.in/e3abkgUB -Preprint: https://lnkd.in/eKPqgh-K -Segmentation tool (on FreeSurfer): https://lnkd.in/eMjKhvUe
- Raw data: https://lnkd.in/enyCdP8G
- Code for 3D reconstruction: https://lnkd.in/eTQ7mrnq
- Source code of segmentation tool: https://lnkd.in/eMXwEGpu
