Wei Wu

According to our database, Wei Wu authored at least 15 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Unearthing Subtle Cognitive Variations: A Digital Screening Tool for Detecting and Monitoring Mild Cognitive Impairment.

Aoyu Li, Chen Xue, Ruixuan Wu, Wei Wu, Juanjuan Zhao, Yan Qiang

Int. J. Hum. Comput. Interact., February, 2025

A2ST-GCM: An adaptive spatio-temporal aware graph convolutional model for predicting pathological complete response in neoadjuvant therapy.

Wanting Yang, Jie Yuan, Juanjuan Zhao, Wei Wu, Yan Qiang

Biomed. Signal Process. Control., 2025

TLIR: Two-layer iterative refinement model for limited-angle CT reconstruction.

Qing Li, Tao Wang, Runrui Li, Yan Qiang, Bin Zhang, Jijie Sun, Juanjuan Zhao, Wei Wu

Biomed. Signal Process. Control., 2025

2024

Effect of Virtual Reality Training on Cognitive Function and Motor Performance in Older Adults With Cognitive Impairment Receiving Health Care: A Randomized Controlled Trial.

Aoyu Li, Jingwen Li, Wei Wu, Juanjuan Zhao, Yan Qiang

Int. J. Hum. Comput. Interact., November, 2024

DCCAFN: deep convolution cascade attention fusion network based on imaging genomics for prediction survival analysis of lung cancer.

Liye Jia, Xueting Ren, Wei Wu, Juanjuan Zhao, Yan Qiang, Qianqian Yang

Complex Intell. Syst., 2024

2023

A cascade-based dual-domain data correction network for sparse view CT image reconstruction.

Qing Li, Runrui Li, Tao Wang, Yubin Cheng, Yan Qiang, Wei Wu, Juanjuan Zhao, Dongxu Zhang

Comput. Biol. Medicine, October, 2023

A progressive phased attention model fused histopathology image features and gene features for lung cancer staging prediction.

Meiling Cai, Lin Zhao, Yanan Zhang, Wei Wu, Liye Jia, Juanjuan Zhao, Qianqian Yang, Yan Qiang

Int. J. Comput. Assist. Radiol. Surg., October, 2023

Residual neural network with mixed loss based on batch training technique for identification of EGFR mutation status in lung cancer.

Liye Jia, Wei Wu, Guojie Hou, Juanjuan Zhao, Yan Qiang, Yanan Zhang, Meiling Cai

Multim. Tools Appl., September, 2023

PMSG-Net: A priori-guided multilevel graph transformer fusion network for immunotherapy efficacy prediction.

Wanting Yang, Wei Wu, Long Wang, Shuming Zhang, Juanjuan Zhao, Yan Qiang

Comput. Biol. Medicine, September, 2023

Graph-ETMB: A graph neural network-based model for tumour mutation burden estimation.

Wanting Yang, Yan Qiang, Wei Wu, Jialong Xin

Comput. Biol. Chem., August, 2023

FDTrans: Frequency Domain Transformer Model for predicting subtypes of lung cancer using multimodal data.

Meiling Cai, Lin Zhao, Guojie Hou, Yanan Zhang, Wei Wu, Liye Jia, Juanjuan Zhao, Long Wang, Yan Qiang

Comput. Biol. Medicine, May, 2023

Deep learning approach for predicting lymph node metastasis in non-small cell lung cancer by fusing image-gene data.

Guojie Hou, Liye Jia, Yanan Zhang, Wei Wu, Lin Zhao, Juanjuan Zhao, Long Wang, Yan Qiang

Eng. Appl. Artif. Intell., 2023

2022

Multi-level learning based on 3D CT image integrated medical clinic information for accurate diagnosis of pulmonary nodules.

Yanan Zhang, Juanjuan Zhao, Wei Wu, Yan Qiang, Liye Jia

Concurr. Comput. Pract. Exp., 2022

Improved heterogeneous data fusion and multi-scale feature selection method for lung cancer subtype classification.

Yanan Zhang, Juanjuan Zhao, Yan Qiang, Xiaotang Yang, Wei Wu, Liye Jia

Concurr. Comput. Pract. Exp., 2022

An adaptive self-guided wavelet convolutional neural network with compound loss for low-dose CT denoising.

Saize Li, Qing Li, Runrui Li, Wei Wu, Juanjuan Zhao, Yan Qiang, Yuling Tian

Biomed. Signal Process. Control., 2022