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
报告所在：腾讯聚会（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、深度学习等要领的图像处置惩罚。。在SIAM IMS，，，IEEE TIP、ICCV, ECCV等国际期刊和聚会上揭晓论文多篇，，，google引用次数为1600余次。。近年来主持和加入了多项国家自然科学基金项目、973项目等。。