[BME Seminar] Computational Techniques for Early Developing Neuroimages

ON2024-05-07TAG: ShanghaiTech UniversityCATEGORY: Lecture

Topic: Computational Techniques for Early Developing Neuroimages
Speaker: Associate Professor Li Gang, School of Medicine, University of North Carolina at Chapel Hill (UNC)
Date and time: May 9, 10:30–12:00
Venue: Room 103, BME Building
Host: Zhang Han

Abstract:
The increasing availability of baby MR imaging data allows us to track the extremely dynamic and critical early brain development. However, most existing computational tools for neuroimaging analysis, which are mainly developed for adult brains, are inapplicable for early developing neuroimages, due to the unique challenges associated with the dynamic, spatiotemporally nonuniformchanges in imaging contrast, appearance, brain size, morphology, and function. In this presentation, Dr. Li will introduce their developed computational techniques and tools, deep learning models, 4D brain atlases and parcellation maps, dedicated for precise processing, alignment, analysis, and mapping of the challenging early developing neuroimages. Dr. Li will also show their neuroscience applications in revealing the spatiotemporally fine-grained, dynamic developmental patterns of brain structure and function during infancy.

Biography:
Dr. Li Gang is an Associate Professor with tenure in the Department of Radiology and Biomedical Research Imaging Center at the University of North Carolina at Chapel Hill. He is a Distinguished Investigator of the Academy for Radiology & Biomedical Imaging Research. He has extensive experience on the development, dissemination, and application of innovative computational and artificial intelligence techniques for neuroimaging analysis, with 120+ peer-reviewed articles published in leading journals, for example, PNAS, Nature Protocols, Nature Communications, Medical Image Analysis, and IEEE Transactions on Medical Imaging. His group has released a set of widely used computational tools, models, and atlases for pediatric neuroimaging analysis. He also has a track record in precise mapping of early brain development. He has received multiple NIH R01 grant awards as the Principal Investigator.