Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Xuelei Shi"'
Publikováno v:
2022 7th International Conference on Intelligent Informatics and Biomedical Science (ICIIBMS).
Autor:
Jian Wang, Xuelei Shi, Xinghuan Li, Yanxiang Cheng, Zhikai Tan, Xiaocheng Wang, Weihong Tan, Haoxiang Chen
Publikováno v:
Theranostics. 10:12127-12143
Rationale: The tumor microenvironment (TME) determines tumor progression and affects clinical therapy. Its basic components include cancer-associated fibroblasts (CAFs) and tumor-associated endothelial cells (TECs), both of which constitute the tumor
Autor:
Yanxiang Cheng, Haoxiang Chen, Jian Wang, Xuelei Shi, Weihong Tan, Zhikai Tan, Xiaocheng Wang, Xinghuan Li
Publikováno v:
Theranostics
Rationale: Tumors are commonly treated by resection, which usually leads to massive hemorrhage and tumor cell residues, thereby increasing the risk of local recurrence and distant metastasis. Methods: Herein, an intelligent 3D-printed poly(lactic-co-
Publikováno v:
Optik. 265:169510
Publikováno v:
Applied Optics. 61:5083
In phase-shifting profilometry based on the Gray code, the jump error is inevitably generated and is further amplified in dynamic scenes. To tackle this problem, we propose the robust tripartite complementary Gray code method (TCG). Without projectin
Publikováno v:
Optics Letters. 47:1218
The imaging quality of the conventional single-pixel-imaging (SPI) technique seriously degrades at a low sampling rate. To tackle this problem, we propose an efficient sampling method and a high-quality real-time image reconstruction strategy: first,
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 588:126535
Influence maximization is of great significance in complex networks, and many methods have been proposed to solve it. However, they are usually time-consuming or cannot deal with the overlap of spreading. To get over the flaws, an effective heuristic
Autor:
Haoxiang, Chen, Yanxiang, Cheng, Xiaocheng, Wang, Jian, Wang, Xuelei, Shi, Xinghuan, Li, Weihong, Tan, Zhikai, Tan
Publikováno v:
Theranostics
Rationale: The tumor microenvironment (TME) determines tumor progression and affects clinical therapy. Its basic components include cancer-associated fibroblasts (CAFs) and tumor-associated endothelial cells (TECs), both of which constitute the tumor
Publikováno v:
CVPR
The ambiguity in image matching is one of main factors decreasing the quality of the 3D model reconstructed by PatchMatch based multiple view stereo. In this paper, we present a novel method, matching ambiguity reduced multiple view stereo (MARMVS) t