时间：12月23日（周二）上午9:00-10:00

地点：广C511

题目：Large Scale Retinal and Brain MRI analysis for early Detection of Cardiovascular Diseases and Large Scale Microscope Traffic Simulation

摘要：Recent studies show that, cerebral White Matter Lesion (WML) is related to cerebrovascular diseases, cardiovascular diseases, dementia and psychiatric disorders. There is also evidence that pathologies in retina are closely related to Lesions in Brain MRI. The main goal is to develop a system that can be used for large scale screening for early detection of CVD. Manual segmentation of WML is not appropriate for long term longitudinal studies because it is time consuming and it shows high intra- and inter-rater variability. In this paper, a fully automated segmentation method is utilized to segment WML from brain Magnetic Resonance Imaging (MRI). The segmentation method uses a combination of global neighbourhood given contrast feature-based Random Forest (RF) classifier and Markov Random Field (MRF) to segment WML. To remove false positive lesions we use a rule based morphological post-processing operation. Quantitative evaluation of the proposed method was performed on 24 subjects of ENVIS-ion study. The segmentation results were validated against the manual segmentation performed by an experienced radiologist and was compared to a recently published WML segmentation method. The results show a dice similarity index of 0.75 for high lesion load, 0.71 for medium lesion load and 0.60 for low lesion load are achieved.

个人简介：Professor Ramamohanarao (Rao) Kotagiri received PhD from Monash University. He was awarded the Alexander von Humboldt Fellowship in 1983. He has been at the University Melbourne since 1980 and was appointed as a professor in computer science in 1989. Rao held several senior positions including Head of Computer Science and Software Engineering, Head of the School of Electrical Engineering and Computer Science at the University of Melbourne and Research Director for the Cooperative Research Centre for Intelligent Decision Systems. He served or serving on the Editorial Boards of the Computer Journal, Universal Computer Science, IEEE TKDE, VLDB Journal and International Journal on Data Privacy. He was the program Co-Chair for VLDB, PAKDD, DASFAA and DOOD conferences. He is a steering committee member of IEEE ICDM, PAKDD. He received distinguished contribution award for Data Mining from PAKDD. Rao is a Fellow of the Institute of Engineers Australia, a Fellow of Australian Academy Technological Sciences and Engineering and a Fellow of Australian Academy of Science. He was awarded Distinguished Contribution Award in 2009 by the Computing Research and Education Association of Australasia. He has published more than 350 articles and 48 PhD completions. He was the conference chair of ICDE 2013 and a conference co-chair of SIGMOD2014.