Pooja Modi
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Also affiliated: National Institutes of Health (2014–2018); Eunice Kennedy Shriver National Institute of Child Health and Human Development (2014–2018)
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Biography and Research Information
OverviewAI-generated summary
Pooja Modi's research focuses on the application and refinement of diffusion magnetic resonance imaging (dMRI) techniques for analyzing brain structure and function. Her work has addressed limitations in tractography accuracy and developed methods for correcting echo planar imaging distortions, such as the DR-BUDDI algorithm. Modi has investigated the use of tensor-based morphometry with dMRI data for applications like studying hereditary spastic paraplegia and has explored artifacts in diffusion-weighted imaging of pediatric subjects.
Her publications include studies on the anatomical accuracy of brain connections derived from dMRI tractography, the DR-BUDDI method for correcting EPI distortions, and tensor-based morphometry using dMRI data. Modi's research also touches upon the role of efferocytosis in ischemic stroke and retinopathy, and a framework for detecting and resolving phishing, pharming, and email spoofing. She has a reported h-index of 6 with seven publications and over 1,000 citations.
Metrics
- h-index: 6
- Publications: 7
- Citations: 1,059
Selected Publications
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The role of efferocytosis in ischemic stroke and insights from retinopathy (2025)
Collaboration Network
Top Collaborators
- The role of efferocytosis in ischemic stroke and insights from retinopathy
- The role of efferocytosis in ischemic stroke and insights from retinopathy
- The role of efferocytosis in ischemic stroke and insights from retinopathy
- The role of efferocytosis in ischemic stroke and insights from retinopathy
- The role of efferocytosis in ischemic stroke and insights from retinopathy
- The role of efferocytosis in ischemic stroke and insights from retinopathy
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