报 告 人：黎芳 教授，华东师范大学
报告时间：12月9日（周四）10:00
报告地点：腾讯会议（ID：950 389 620）
邀 请 人：马丽艳 副研究员
报告摘要：
Magnetic Resonance Imaging (MRI) is a noninvasive diagnostic tool that provides excellent soft-tissue contrast. Image reconstruction from subsampled k-space data has been playing an essential role in fast MRI. We will talk about three methods for MRI reconstruction, including a variational method via non-convex weighted smoothly clipped absolute deviation prior and two iterative methods with deep CNN priors. Some experimental results are given to show the effectiveness of the proposed methods.
报告人简介:
黎芳，华东师范大学数学科学学院，教授，博士生导师，主要研究兴趣是研究基于变分法、深度学习等方法的图像处理。在SIAM IMS，IEEE TIP、ICCV, ECCV等国际期刊和会议上发表论文多篇，google引用次数为1600余次。近年来主持和参与了多项国家自然科学基金项目、973项目等。
