题目：Selected Topics in Deep Learning for Medical Image Analysis
主讲人：Z. Jane Wang (University of British Columbia, Vancouver, Canada, Professor, FIEEE, FCAE)
日期：2018年11月7日（星期三）
时间：下午4:20 - 6:00
地点：数据科学与jbo竞博电竞官方网站 A101
主持：康显桂 教授
摘要：
This talk gives a brief review of Wang group’s current research efforts at UBC in the areas of Deep Learning for Medical Image Analysis. During the last few years, deep learning, in particular convolutional networks, has rapidly become popular for medical image analysis, including classification, object detection, segmentation, registration, and other tasks.
This overview talk contains three major parts: (1) Skin image analysis, with focus on developing automated detection, segmentation, pattern recognition and computer-aided diagnosis based on skin vasculatures. Vascular structures seen in dermoscopy are of great clinical importance, playing an important role in skin cancer diagnosis, lesion growth and treatment monitoring. (2) 2D/3D medical image registration, with focus on accurate 2D/3D registration of pre-operative 3-D data and intra-operative 2-D X-ray images (which is a key enabler for image-guided therapy). We exploit the modeling power of Convolutional Neural Networks to significantly improve registration accuracy and efficiency. We further propose a Pairwise Domain Adaptation (PDA) module to adapt the model trained on source domain (i.e., synthetic data) to target domain (i.e., clinical data) by learning domain invariant features with a few paired real and synthetic data. (3) MRI data analytics, with focus on 3D CNN based automatic diagnosis of Attention Deficit Hyperactivity Disorder using functional and structural MRI data.
个人介绍：
Z. Jane Wang received the B.Sc. degree from Tsinghua University in 1996 and the M.Sc. and Ph.D. degrees from the University of Connecticut in 2000 and 2002, respectively, all in electrical engineering. She has been Research Associate at the University of Maryland, College Park. Since Aug. 2004 she has been with the ECE dept. at UBC, Canada, and she is currently Professor. She is an IEEE Fellow (FIEEE), a Fellow of the Canadian Academy of Engineering (FCAE), and a member of the College of New Scholars, Artists and Scientists of the Royal Society of Canada. Her research interests are in the broad areas of statistical signal processing and machine learning. She has published 110+ journal papers and 100+ peer-reviewed conference papers. She has been key Organizing Committee Member for numerous IEEE conferences and workshops (e.g., the Finance chair of ICASSP13, the co-Technical Chair for ChinaSIP2014, GlobalSIP2017 and ICIP2021, and the co-General Chair of MMSP2018). She has been Elected Member to several SPS TCs, including the Bio Imaging and Signal Processing TC, Multimedia SP TC, Machine Learning SP TC, and IFS TC.
Editorial experience: She was Associate Editor for the IEEE TSP, SPL, TMM, TIFS and TBME, and Area Editor of SPM. She is currently serving as Associate Editor for SPM and IEEE Transactions on Circuits and Systems-II: Express Briefs.