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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 专题：自动化研究所    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择发表日期升序发表日期降序提交时间升序提交时间降序题名升序题名降序作者升序作者降序 An adaptive multi-frame parallel iterative method for accelerating real-time magnetic particle imaging reconstruction 期刊论文 PHYSICS IN MEDICINE AND BIOLOGY, 2023, 卷号: 68, 期号: 24, 页码: 16 作者:  Shen, Yusong;  Zhang, Liwen;  Shang, Yaxin;  Jia, Guang;  Yin, Lin 收藏  |  浏览/下载：2/0  |  提交时间：2024/02/22 magnetic particle imaging  real-time reconstruction  parallel iterative method  parallel computation   Magnetic particle imaging deblurring with dual contrastive learning and adversarial framework 期刊论文 COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 卷号: 165, 页码: 11 作者:  Zhang, Jiaxin;  Wei, Zechen;  Wu, Xiangjun;  Shang, Yaxin;  Tian, Jie 收藏  |  浏览/下载：4/0  |  提交时间：2023/11/16 Magnetic particle imaging  Deblurring  Unpaired data  Contrastive learning  Adversarial framework   Anisotropic edge-preserving network for resolution enhancement in unidirectional Cartesian magnetic particle imaging 期刊论文 Physics in Medicine & Biology, 2023, 卷号: 68, 期号: 4 作者:  Shang,Yaxin;  Liu,Jie;  Liu,Yanjun;  Zhang,Bo;  Wu,Xiangjun 收藏  |  浏览/下载：10/0  |  提交时间：2023/05/31 deep learning  magnetic particle imaging  point spread function  superparamagnetic iron oxide nanoparticles  unidirectional Cartesian   PGNet: Projection generative network for sparse-view reconstruction of projection-based magnetic particle imaging 期刊论文 MEDICAL PHYSICS, 2022, 页码: 18 作者:  Wu, Xiangjun;  He, Bingxi;  Gao, Pengli;  Zhang, Peng;  Shang, Yaxin 收藏  |  浏览/下载：15/0  |  提交时间：2022/11/21 deep learning  field-free line  magnetic particle imaging  sparse view   Deep learning for improving the spatial resolution of magnetic particle imaging 期刊论文 PHYSICS IN MEDICINE AND BIOLOGY, 2022, 卷号: 67, 期号: 12, 页码: 14 作者:  Shang, Yaxin;  Liu, Jie;  Zhang, Liwen;  Wu, Xiangjun;  Zhang, Peng 收藏  |  浏览/下载：19/0  |  提交时间：2022/07/25 deep learning  magnetic particle imaging  spatial resolution  superparamagnetic iron oxide nanoparticles