科言猫
学术研究的AI总结
首页
文献互助
订阅
我的收藏
科研工具
选题分析
论文总结
专利管理
未登录
返回
B
Baoshun Shi
yanshan university
10
H指数
38
论文数
273
被引数
0
相关解读
订阅
收录论文
19
发表时间
发表时间
IF
被引数
Explicitly provable gradient network for unrolled medical image reconstruction algorithms
显式可证明的梯度网络用于展开式医学图像重建算法
Knowledge-Based Systems
IF
7.6
2026-03-24
0
PRE
AI
Baoshun Shi; Lijun Huang; Wenyuan Xu; Yueming Su
分享
收藏
Prompt Guiding Multi-Scale Adaptive Sparse Representation-driven Network for Low-Dose CT MAR
提示引导的多尺度自适应稀疏表示驱动的低剂量CT MAR网络
Medical Image Analysis
IF
11.8
2025-11-13
0
PRE
AI
baoshun Shi; Bing Chen; Shaolei Zhang; Huazhu Fu; Zhanli Hu
分享
收藏
Prompting Lipschitz-Constrained Network for Multiple-in-One Sparse-View CT Reconstruction
引导利普希茨约束网络进行多输入一体的稀疏视图CT重建
IEEE Transactions on Medical Imaging
IF
9.8
2025-10-30
0
PRE
AI
Baoshun Shi; Ke Jiang; Qiusheng Lian; Xinran Yu; Huazhu Fu
分享
收藏
Deep sparse representation driven network for compressive imaging
深度稀疏表示驱动的压缩成像网络
Knowledge-Based Systems
IF
7.6
2025-10-11
0
PRE
AI
Baoshun Shi; Dan Li
分享
收藏
Provably Bounded Dynamic Sparsifying Transform Network for Compressive Imaging
可证明有界动态稀疏化变换网络用于压缩成像
IEEE Transactions on Neural Networks and Learning Systems
IF
8.9
2025-08-01
0
PRE
AI
Baoshun Shi; Dan Li
分享
收藏
Visual and text prompts guided interpretable network for universal low-dose CT MAR
视觉与文本提示引导的可解释网络用于通用低剂量CT去金属伪影
Pattern Recognition
IF
7.6
2025-07-17
0
PRE
AI
Baoshun Shi; Bing Chen; Shaolei Zhang; Ke Jiang; Shuo Liu
分享
收藏
Provably bounded prompting prior network for universal compressed sensing magnetic resonance imaging
可证明有界提示先验网络用于通用压缩感知磁共振成像
KNOWLEDGE-BASED SYSTEMS
IF
7.6
2025-06-01
0
PRE
AI
Shi, Baoshun; Liu, Zheng; Liu, Kexun; Su, Yueming
分享
收藏
UPrime: Unrolled Phase Retrieval Iterative Method with provable convergence
SIGNAL PROCESSING
IF
3.6
2025-01-01
0
PRE
AI
Shi, Baoshun; Gao, Yating; Zhang, Runze
分享
收藏
BGFlow: Brightness-guided normalizing flow for low-light image enhancement
DISPLAYS
IF
3.4
2024-12-01
0
PRE
AI
Chen, Jiale; Lian, Qiusheng; Shi, Baoshun
分享
收藏
Transformer based Douglas-Rachford unrolling network for compressed sensing
SIGNAL PROCESSING-IMAGE COMMUNICATION
IF
2.7
2024-09-01
3
PRE
AI
Su, Yueming; Lian, Qiusheng; Zhang, Dan; Shi, Baoshun
分享
收藏
Mud-Net: multi-domain deep unrolling network for simultaneous sparse-view and metal artifact reduction in computed tomography
Mud-Net: 多域深度展开网络,用于计算机断层扫描中同时减少稀疏视图和金属伪影
MACHINE LEARNING-SCIENCE AND TECHNOLOGY
IF
4.6
2024-01-17
4
OA
AI
Shi, Baoshun; Jiang, Ke; Zhang, Shaolei; Lian, Qiusheng; Qin, Yanwei; Zhao, Yunsong
分享
收藏
Artifact Region-Aware Transformer: Global Context Helps CT Metal Artifact Reduction
ieee signal processing magazine
IF
3.9
2024-01-01
3
PRE
AI
Shi, BaoShun; Zhang, ShaoLei; Fu, ZhaoRan
分享
收藏
Provable deep video denoiser using spatial-temporal information for video snapshot compressive imaging: Algorithm and convergence analysis
SIGNAL PROCESSING
IF
3.6
2024-01-01
13
OA
AI
Shi, Baoshun; Li, Dan; Wang, Yuxin; Su, Yueming; Lian, Qiusheng
分享
收藏
Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging with Convergence Analysis
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
IF
19.2
2023-11-01
6
PRE
AI
Shi, Baoshun; Liu, Kexun
分享
收藏
LG-Net: Local and global complementary priors induced multi-stage progressive network for compressed sensing
Lg-net: 局部和全局互补先验诱导的压缩感知多级渐进网络
SIGNAL PROCESSING
IF
3.6
2023-01-01
6
OA
AI
Lian, Qiusheng; Su, Yueming; Shi, Baoshun; Zhang, Dan
分享
收藏
DualPRNet: Deep Shrinkage Dual Frame Network for Deep Unrolled Phase Retrieval
ieee signal processing magazine
IF
3.9
2022-01-01
12
PRE
AI
Shi BaoShun; Lian QiuSheng
分享
收藏
Gain-phase errors calibration of nested array for underdetermined direction of arrival estimation
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS
IF
3.2
2019-08-01
11
PRE
AI
Tian, Ye; Wang, Yanru; Shi, Baoshun
分享
收藏
SBM3D: Sparse Regularization Model Induced by BM3D for Weighted Diffraction Imaging
IEEE ACCESS
IF
3.6
2018-01-01
6
OA
AI
Shi, Baoshun; Lian, Qiusheng; Chen, Shuzhen; Fan, Xiaoyu
分享
收藏
Compressed Sensing MRI With Phase Noise Disturbance Based on Adaptive Tight Frame and Total Variation
IEEE ACCESS
IF
3.6
2017-01-01
23
OA
AI
Fan Xiaoyu; Lian Qiusheng; Shi Baoshun
分享
收藏
研究方向
暂时未获取到该数据
合作学者
合作期刊
H
Huazhu Fu
H 指数: 80 · 论文数: 567
Z
Zheng Liu
H 指数: 63 · 论文数: 990
陈
陈兵
(Bing Chen)
H 指数: 38 · 论文数: 447
王妍入
(Yanru Wang)
H 指数: 32 · 论文数: 264
李
李丹
(Dan Li)
H 指数: 30 · 论文数: 234
查看更多