Wu Zhou

According to our database, Wu Zhou authored at least 22 papers between 2013 and 2024.

Collaborative distances:

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

2024

Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model.

Shangxuan Li, Baoer Liu, Feilin Deng, Yikai Xu, Wu Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model.

Feilin Deng, Shangxuan Li, Baoer Liu, Yikai Xu, Wu Zhou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma.

Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou

Pattern Recognit., October, 2023

Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT.

Shangxuan Li, Chichi Li, Yu Du, Li Ye, Yanshu Fang, Cheng Wang, Wu Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma.

Yanyan Xie, Shangxuan Li, Xian Li, Baoer Liu, Yikai Xu, Wu Zhou

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma.

Shangxuan Li, Yanshu Fang, Guangyi Wang, Lijuan Zhang, Wu Zhou

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer.

Shangxuan Li, Yu Du, Li Ye, Chichi Li, Yanshu Fang, Cheng Wang, Wu Zhou

Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022

Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma.

Shangxuan Li, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou

IEEE J. Biomed. Health Informatics, 2022

DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma.

Haoyuan Huang, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou

Comput. Methods Programs Biomed., 2022

Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR.

Shangxuan Li, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou

Comput. Medical Imaging Graph., 2022

Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma.

Haoyuan Huang, Baoer Liu, Lijuan Zhang, Yikai Xu, Wu Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2020

Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma.

Yunling Li, Hui Huang, Lijuan Zhang, Guangyi Wang, Honglai Zhang, Wu Zhou

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma.

Hanqiu Ju, Wanwei Jian, Xiaoping Cen, Guangyi Wang, Wu Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM.

Shaoyang Men, Hanqiu Ju, Lijuan Zhang, Wu Zhou

Proceedings of the 16th IEEE International Symposium on Biomedical Imaging, 2019

Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma.

Hanqiu Ju, Guangyi Wang, Shaoyang Men, Honglai Zhang, Lin Gu, Wu Zhou

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR.

Wanwei Jian, Hanqiu Ju, Xiaoping Cen, Manman Cui, Honglai Zhang, Lijuan Zhang, Guangyi Wang, Lin Gu, Wu Zhou

Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018

Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma.

Tianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma.

Tianyou Dou, Lijuan Zhang, Wu Zhou

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma.

Tianyou Dou, Wu Zhou

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features.

Qiyao Wang, Lijuan Zhang, Yaoqin Xie, Hairong Zheng, Wu Zhou

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2013

Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing.

Wu Zhou, Yaoqin Xie

Comput. Math. Methods Medicine, 2013

Nonrigid Registration of Lung CT Images Based on Tissue Features.

Rui Zhang, Wu Zhou, Yanjie Li, Shaode Yu, Yaoqin Xie

Comput. Math. Methods Medicine, 2013