2017年11月21日上午，应中心许夏瑜副教授邀请，美国国立卫生研究院教授Ziyue Xu来访，并在生命学院作了题为“Recent Advances of
Deep Learning Methods for Pulmonary Image Analysis with Incomplete Training
Labels”的学术报告。报告会在生命学院308会议室举行，仿生工程与生物力学的师生聆听了报告。
报告中，Ziyue Xu老师介绍了弱监督深度学习方法在肺部图像分析中的应用，详细描述了在深度学习算法过程应用过程中可能存在的挑战与解决方案。报告的最后，Ziyue Xu老师与中心师生进行了热情互动，细致耐心地回答了多个问题，参加报告的师生均受益匪浅。
报告人介绍：
Dr. ZiyueXu is a Staff Scientist in the Center
for Infectious Disease Imaging at Radiology and Imaging Sciences Department in
Clinical Center, National Institutes of Health where he has been a member since
2012. Dr. Xu obtained his PhD and MS degree from Department of Electrical and
Computer Engineering, the University of Iowa in 2012 and 2009,and BE from the
Department of Electronics Engineering, Tsinghua University in 2006. His
research interests lie in the area of image analysis and machine learning with
applications in biomedical and clinical imaging.
