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ORCIDWu Zhou 0002
Person information
- affiliation: Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Key Laboratory of Health Informatics, China
Other persons with the same name
- Wu Zhou — disambiguation page
- Wu Zhou 0001 — North Carolina State University, Raleigh, NC, USA
- Wu Zhou 0003
![[0000-0001-8676-0980]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0001-8676-0980")
— University of Electronic Technology and Science of China, School of Mechatronics Engineering, Chengdu, China (and 1 more) - Wu Zhou 0004 — Zhejiang Normal University, Engineering College, Jinhua, China
- Wu Zhou 0005 — University of Waterloo, Ontario, Canada
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Journal Articles
- 2023
[j6]Yunling Li, Shangxuan Li, Hanqiu Ju, Tatsuya Harada, Honglai Zhang, Ting Duan, Guangyi Wang, Lijuan Zhang, Lin Gu, Wu Zhou:
Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. Pattern Recognit. 142: 109638 (2023)- 2022
- [j5]Shangxuan Li, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou:
Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR. Comput. Medical Imaging Graph. 97: 102050 (2022) - [j4]Haoyuan Huang, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou:
DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma. Comput. Methods Programs Biomed. 227: 107201 (2022) - [j3]Shangxuan Li, Yanyan Xie, Guangyi Wang, Lijuan Zhang, Wu Zhou:
Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma. IEEE J. Biomed. Health Informatics 26(8): 4123-4131 (2022) - 2013
- [j2]Wu Zhou, Yaoqin Xie:
Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. Comput. Math. Methods Medicine 2013: 325903:1-325903:13 (2013) - [j1]Rui Zhang, Wu Zhou, Yanjie Li, Shaode Yu, Yaoqin Xie:
Nonrigid Registration of Lung CT Images Based on Tissue Features. Comput. Math. Methods Medicine 2013: 834192:1-834192:7 (2013)
Conference and Workshop Papers
- 2024
- [c16]Feilin Deng, Shangxuan Li, Baoer Liu, Yikai Xu, Wu Zhou:
Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model. ISBI 2024: 1-5 - [c15]Shangxuan Li, Baoer Liu, Feilin Deng, Yikai Xu, Wu Zhou:
Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model. ISBI 2024: 1-5 - 2023
- [c14]Shangxuan Li, Yu Du, Li Ye, Chichi Li, Yanshu Fang, Cheng Wang, Wu Zhou:
Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer. ISBI 2023: 1-5 - [c13]Shangxuan Li, Yanshu Fang, Guangyi Wang, Lijuan Zhang, Wu Zhou:
Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma. ISBI 2023: 1-5 - [c12]Yanyan Xie, Shangxuan Li, Xian Li, Baoer Liu, Yikai Xu, Wu Zhou:
Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma. ISBI 2023: 1-5 - [c11]Shangxuan Li, Chichi Li, Yu Du, Li Ye, Yanshu Fang, Cheng Wang, Wu Zhou:
Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT. MICCAI (5) 2023: 706-714 - 2022
- [c10]Haoyuan Huang, Baoer Liu, Lijuan Zhang, Yikai Xu, Wu Zhou:
Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma. MICCAI (8) 2022: 266-275 - 2020
- [c9]Yunling Li, Hui Huang, Lijuan Zhang, Guangyi Wang, Honglai Zhang, Wu Zhou:
Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma. ISBI 2020: 1556-1560 - 2019
- [c8]Wanwei Jian, Hanqiu Ju, Xiaoping Cen, Manman Cui, Honglai Zhang, Lijuan Zhang, Guangyi Wang, Lin Gu, Wu Zhou:
Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. EMBC 2019: 853-856 - [c7]Hanqiu Ju, Guangyi Wang, Shaoyang Men, Honglai Zhang, Lin Gu, Wu Zhou:
Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. ICIP 2019: 1342-1345 - [c6]Shaoyang Men, Hanqiu Ju, Lijuan Zhang, Wu Zhou:
Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM. ISBI 2019: 810-813 - [c5]Hanqiu Ju, Wanwei Jian, Xiaoping Cen, Guangyi Wang, Wu Zhou:
Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma. MICCAI (4) 2019: 567-574 - 2018
- [c4]Tianyou Dou, Wu Zhou:
2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma. ICPR 2018: 3832-3837 - [c3]Tianyou Dou, Lijuan Zhang, Wu Zhou:
3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. ISBI 2018: 29-33 - [c2]Tianyou Dou, Lijuan Zhang, Hairong Zheng, Wu Zhou:
Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma. MICCAI (4) 2018: 472-479 - 2017
- [c1]Qiyao Wang, Lijuan Zhang, Yaoqin Xie, Hairong Zheng, Wu Zhou:
Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features. ICIP 2017: 4162-4166
Informal and Other Publications
- 2023
- [i1]Shangxuan Li, Yu Du, Li Ye, Chichi Li, Yanshu Fang, Cheng Wang, Wu Zhou:
Teeth And Root Canals Segmentation Using ZXYFormer With Uncertainty Guidance And Weight Transfer. CoRR abs/2308.07072 (2023)
Coauthor Index
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