Machine learning in perinatal brain image analysis
Monday 19th September 2022
Organization MGH / HMS
Location Boston, MA, USA
Title Machine learning in perinatal brain image analysis
Email Address email@example.com
Description Two postdoctoral fellows are recruited for two different NIH R01-funded projects. One aims to study the brainstem arousal network in human consciousness, comparing healthy development vs SIDS. In this project, we utilize high-resolution ex vivo MRI combined with optical coherence tomography along with 5-HT immunocytochemistry in postmortem infant brains. Code development will focus on developing, validating, and distributing image processing and atlas building pipelines utilizing high-resolution postmortem MRI, OCT, and histological images. The other project aims to develop tools to construct longitudinal atlases for the study of healthy postnatal brain development and to model its changes in cohorts of infants born under adverse conditions. Code development will focus on developing, validating, and distributing image processing and atlas building pipelines utilizing various large-scale publicly available datasets using both structural and diffusion-weighted MRI.