Nonrigid Registration of Lung CT Images Based on Tissue Features. - Rui Zhang 019; Wu Zhou 002; Yanjie Li; Shaode Yu; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. - Wu Zhou 002; Yaoqin Xie (Comput. Math. Methods Medicine, 2013)

Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features. - Qiyao Wang; Lijuan Zhang; Yaoqin Xie; Hairong Zheng; Wu Zhou 002 (ICIP, 2017)

2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma. - Tianyou Dou; Wu Zhou 002 (ICPR, 2018)

3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. - Tianyou Dou; Lijuan Zhang; Wu Zhou 002 (ISBI, 2018)

Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma. - Tianyou Dou; Lijuan Zhang; Hairong Zheng; Wu Zhou 002 (MICCAI (4), 2018)

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 003; Wu Zhou 002 (EMBC, 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 003; Wu Zhou 002 (ICIP, 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 002 (ISBI, 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 002 (MICCAI (4), 2019)

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 002 (ISBI, 2020)

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 002 (MICCAI (8), 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 002 (Comput. Medical Imaging Graph., 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 002 (Comput. Methods Programs Biomed., 2022)

Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma. - Shangxuan Li; Yanyan Xie; Guangyi Wang; Lijuan Zhang; Wu Zhou 002 (IEEE J. Biomed. Health Informatics, 2022)

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 002 (ISBI, 2023)

Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma. - Shangxuan Li; Yanshu Fang; Guangyi Wang; Lijuan Zhang; Wu Zhou 002 (ISBI, 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 002 (ISBI, 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 002 (MICCAI (5), 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 003; Wu Zhou 002 (Pattern Recognit., 2023)

Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model. - Feilin Deng; Shangxuan Li; Baoer Liu; Yikai Xu; Wu Zhou 002 (ISBI, 2024)

Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model. - Shangxuan Li; Baoer Liu; Feilin Deng; Yikai Xu; Wu Zhou 002 (ISBI, 2024)