【學術報告】10月18日:美國北卡羅來納大學教堂山分校王利博士報告會

發布時間:2019-10-16 作者: 來源:臨沂大學 瀏覽次數:10

●10月18日:美國北卡羅來納大學教堂山分校王利博士報告會

1.題目

Infant Brain MRI Analysis

摘要: Recent progress in infant MRI technology allows us to track the dynamic brain developmental trajectories in vivo during the first year of life, which can greatly increase our very limited knowledge on normal early brain development, and also provide important insights into early neurodevelopmental disorders, such as autism spectrum disorder and schizophrenia. However, the existing neuroimaging computational tools, which were mainly developed for older children and adult brains, are ill-suited for infant brain studies, due to great challenges in tissue segmentation and labeling, caused by the extremely low contrast, insufficient resolution, severe partial volume effects, and dynamic growth. In this presentation, Dr. Wang will introduce learning-based methods for infant brain images analysis, including tissue segmentation of cerebrum and cerebellum, hippocampal subfield, and imaging-biomarkers for early diagnosis of autism.

2.主講人

王利,美國北卡羅來納大學教堂山分校助理教授,IEEE Senior Member。

3.時間

10月18日(周五) 8:30

4.地點

信息中心307室報告廳

5.報告人簡介

王利, 男,博士,助理教授,現任職于美國北卡羅來納大學教堂山分校,IEEE Senior Member。2010年畢業于南京理工大學計算機科學與技術學院,獲博士學位。多年來一直致力于研究嬰幼兒大腦早期發育,包括圖像分割,重建,早期自閉癥診斷,以課題負責人身份分別獲得美國國立衛生研究院NIH Career Award和NIH R01項目資助。在IEEE Transactions on Medical Imaging,Medical Image Analysis, Human Brain Mapping, NeuroImage, Cerebral Cortex, Medical Physics, PNAS等發表學術論文80余篇,Google Scholar總引用4500次,h-index=34。2010年分別獲得Computerized Medical Imaging and Graphics和Signal Processing論文高引獎;2015年獲得Medical Physics最佳論文獎(Editor's Choice & Cover page); 2014和2018年獲得NeuroImage論文高引獎。多次在MICCAI Challenge獲得第一名,并成功組織2次MICCAI Challenge:iSeg-2017和iSeg-2019。目前在多個國際期刊擔任編委。

6.主辦單位

信息科學與工程學院

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