Analyzing Filamentary Structured Objects in Biomedical Images: Segmentation, Tracing, and Synthesis

February 26, 2018 at 10:30 AM to 12:00 PM

Location:5345 Herzberg Laboratories


Filamentary structured objects are abundant in biomedical imaging data including retinal fundus images, neuronal images, and angiography, to name a few. In this talk, I will discuss on our recent research efforts in addressing the tasks of segmenting, tracing, and synthesizing such images. In particular, I will describe the directed graph based tracing methods we have developed that can be applied to a range of data analysis tasks even beyond biomedical data. More details can be found at our project websites

Short Bio:

Li CHENG is a Principal Investigator in BII, A*STAR, Singapore, where he heads the machine learning for bioimage analysis group. Prior to joining BII, He worked at Statistical Machine Learning group of NICTA,  Australia, TTI-Chicago, USA, and University of Alberta, Canada, where he obtained his Computer Science in 2004.

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