F. Yin

[Predicting postoperative recurrence of stage Ⅰ-Ⅲ renal clear cell carcinoma based on preoperative CT radiomics feature nomogram].

G. Wen, S. Yang, W. Cui, 2021, Nan fang yi ke da xue xue bao = Journal of Southern Medical University.

Inferring sparse genetic regulatory networks based on maximum-entropy probability model and multi-objective memetic algorithm

Zexuan Zhu, Jiarui Zhou, Weixin Xie, 2022, Memetic Computing.

An exploratory study of CT radiomics using differential network feature selection for WHO/ISUP grading and progression-free survival prediction of clear cell renal cell carcinoma

Zexuan Zhu, Weixin Xie, Liyang Yang, 2022, Frontiers in Oncology.

Development and Validation of a CT-Based Radiomics Nomogram for Predicting Postoperative Progression-Free Survival in Stage I–III Renal Cell Carcinoma

Menglin Chen, G. Wen, Shanshan Yang, 2022, Frontiers in Oncology.

Joint learning of multiple gene networks from single-cell gene expression data

Weixin Xie, Zexuan Zhu, Le Ou-Yang, 2020, Computational and structural biotechnology journal.

CT-based multi-phase Radiomic models for differentiating clear cell renal cell carcinoma

Menglin Chen, G. Wen, Haijie Zhang, 2021, Cancer Imaging.

Computed Tomography Image under Three-Dimensional Reconstruction Algorithm Based in Diagnosis of Renal Tumors and Retroperitoneal Laparoscopic Partial Nephrectomy

Shanshan Yang, G. Wen, Liyang Yang, 2021, Journal of healthcare engineering.

A Reliable Prediction Model for Renal Cell Carcinoma Subtype Based on Radiomic Features from 3D Multiphase Enhanced CT Images

Menglin Chen, G. Wen, Liyang Yang, 2021, Journal of oncology.