Machine Learning/AI in Early Brain Imaging

Machine Learning/AI in Early Brain Imaging
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Location: Boston, MA, USA

Machine learning has a unique potential for analyzing complex neuroimaging data from fetuses, neonates, and children, where existing computational methods are highly inadequate. This postdoctoral fellowship will involve working with world‑class experts in radiology and neuroimaging to contribute toward enabling accurate quantitative assessment of normal and abnormal early brain development, with applications in medicine and neuroscience.

Topics of interest include:

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• Image reconstruction, super‑resolution, registration, and segmentation
  
• Multimodal AI and foundation models
  
• Fetal brain ultrasound
  
• Fetal and neonatal brain MRI
  
• Diffusion MRI and structural ...