Meixuan Wu

Artificial intelligence-based preoperative prediction system for diagnosis and prognosis in epithelial ovarian cancer: A multicenter study

Shanshan Cheng, Xuhui Dong, Liangqing Yao, 2022, Frontiers in Oncology.

Exploring prognostic indicators in the pathological images of ovarian cancer based on a deep survival network

Shanshan Cheng, Xiaokang Yang, Shan-Ya-Mei Huang, 2023, Frontiers in Genetics.

Motion Compensation Using Polyline Based Block Partition

Yixiong Zhang, Weidong Wang, Lingxiang Zheng, 2009, 2009 2nd International Congress on Image and Signal Processing.

Generalizable and explainable prediction of potential miRNA-disease associations based on heterogeneous graph learning

Xinyi Wang, Min Zhu, Yi Zhou, 2023, 2307.07957.

DiffSeer: Difference-Based Dynamic Weighted Graph Visualization

Y. Wang, Qiaomu Shen, Xiaolin Wen, 2023, IEEE Computer Graphics and Applications.

Clinical significance and immune infiltration analyses of a novel coagulation-related signature in ovarian cancer

Shanshan Cheng, Yu Wang, Jiani Yang, 2023, Cancer Cell International.

Identification of the prognostic value of LACTB2 and its correlation with immune infiltrates in ovarian cancer by integrated bioinformatics analyses

Shanshan Cheng, Jiani Yang, Meixuan Wu, 2024, European journal of medical research.

Multitask prediction models for serous ovarian cancer by preoperative CT image assessments based on radiomics

Aie Liu, Lei Chen, Jiani Yang, 2024, Frontiers in medicine.

Anoikis-related signature predicts prognosis and characterizes immune landscape of ovarian cancer

Shanshan Cheng, Jiani Yang, Meixuan Wu, 2024, Cancer cell international.

CSGALNACT2 restricts ovarian cancer migration and invasion by modulating MAPK/ERK pathway through DUSP1

Shanshan Cheng, Jiani Yang, Minghai Zhang, 2023, Cellular oncology.