厦门大学平台管理系统 Bao Lijun--Home-- Undersampled MR image reconstruction using an enhanced recursive residual network

Bao Lijun Associate professor

毕业于哈尔滨工业大学仪器科学与技术专业，长期从事成像新方法新技术的研究，积累了较丰富的影像处理、机器学习、光电检测相关的项目经验，具备扎实的理论基础和积极的科学创新。主持完成国家自然科学基金面上项目1项，国家自然科学基金青年项目1项，教育部博士点基金1项，福建省自然科学基金2项，主持完成中国工程物理研究院横向课题2项，参与完成国家自然科学基金9项。多年来担任国家自然科学基金通讯评审，福建省科学基金评...Detials

Paper Publications Current position: Home > Scientific Research > Paper Publications

Undersampled MR image reconstruction using an enhanced recursive residual network

Release time:2022-03-12 Hits:

Journal:Journal of Magnetic Resonance
Correspondence Author:Lijun Bao
Co-author:Fuze Ye,Congbo Cai,Jian Wu,Kun Zeng,Peter C.M. van Zijl,Zhong Chen
Indexed by:Journal article (JA)
Volume:305
Page Number:232-246
Translation or Not:no
Date of Publication:2018-12-08

Pre One: Diffusion-regularized susceptibility tensor imaging (DRSTI) of tissue microstructures in the human brain

Next One: Fast quantitative susceptibility reconstruction via total fieldinversion with improved weighted L0 norm approximation