Abstract: Filamentary structured objects are abundant in biomedical images, such as retinal fundus images, neuronal images, and angiography, to name a few. In this talk, we will discuss on our recent research efforts in addressing the tasks of segmentation, tracing, and synthesis for such images. More details can be found at our project websites https://web.bii.a-star.edu.sg/archive/machine_learning/Projects/filaStructObjs/project.htm.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 Ph.D.in Computer Science in 2004. His research expertise is mainly on computer vision and machine learning.