Ongoing research projects
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Software for multi-scale mapping of the human brain
We are improving volumetric and cortical segmentation and registration methods for ex vivo scans in FreeSurfer Supported by the BRAIN Initiative (NIH grant 1RF1MH123195, PIs: Iglesias, Fischl) |
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Diagnosing the undiagnosable: studies of Alzheimer disease mimics and confounders via ‘neuropathometry’ of dissection photos with 3D scanning
We are developing tools for 3D analysis of dissection photographs augmented with 3D surface scanning Supported by National Institute of Aging (NIH grant 1R01AG070988, PI: Iglesias) |
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Portable, Low Field Brain Magnetic Resonance Imaging (MRI) for Acute Stroke
The goal is to develop machine learning techniques to improve image quality and extract morphometric measures Supported by National Institute of Biomedical Imaging and Bioengineering (NIH grant 1R01EB031114, PIs: Sheth, Kimberly, Rosen) |
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Functionally guided adult whole brain cell atlas in human and non-human primates (consortium)
This is a consortium; our role is to develop methods for multimodal and multiscale registration Supported by the BRAIN Initiative (NIH grant 1UM1MH130981, PI: Lein; PIs of MGH site: Iglesias, Fischl) |
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Disentangling neuroanatomical change from MRI acquisition for accurate tracking of Alzheimer’s disease progression
We are developing supervised deep learning registration methods that can separate aging effects from scanning artifacts in longitudinal MRI. Supported by the Jack Satter Foundation (PI: Iglesias) |
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Acquisition-independent machine learning for morphometric analysis of underrepresented aging populations with clinical and low-field brain MR
We are developing methods that make it possible to accurately analyze clinical MRI scans “in the wild” as well as portable MRI scans, to study aging in underrepresented populations. Supported by National Institute of Aging (NIH grant 1RF1AG080371, PI: Iglesias)
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Selected past projects
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Building Next-Generation Computational Tools for High Resolution Neuroimaging Studies
We are creating an atlas of the whole brain using serial histology of five whole hemispheres. Supported by the European Research Council (ERC Starting Grant 677697, PI: Iglesias) |
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Enhanced imaging genetics of the human thalamus in frontotemporal dementia with novel segmentation tools integrating structural and diffusion MR We are developing Bayesian and deep learning tools for segmenting the thalamic nuclei from diffusion MRI scans. Supported by Alzheimer’s Research UK (ARUK-IRG2019A-003, PI: Iglesias)
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