Wu Zhou 0002 Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, Key Laboratory of Health Informatics, China https://orcid.org/0000-0002-5917-1723 https://orcid.org/0000-0002-9202-1989 Wu Zhou Wu Zhou 0001 North Carolina State University, Raleigh, NC, USA Wu Zhou 0003 University of Electronic Technology and Science of China, School of Mechatronics Engineering, Chengdu, China China Academy of Engineering Physics, Mianyang, China https://orcid.org/0000-0001-8676-0980 https://www.wikidata.org/entity/Q87591380 Wu Zhou 0004 Zhejiang Normal University, Engineering College, Jinhua, China https://orcid.org/0000-0002-1745-9921 Wu Zhou 0005 University of Waterloo, Ontario, Canada Feilin Deng Shangxuan Li Baoer Liu Yikai Xu Wu Zhou 0002 Self-Supervised Learning with Unsupervised Motion Correction for Fitting IVIM Model. 1-5 2024 ISBI https://doi.org/10.1109/ISBI56570.2024.10635266 conf/isbi/2024 db/conf/isbi/isbi2024.html#DengLLXZ24 streams/conf/isbi Shangxuan Li Baoer Liu Feilin Deng Yikai Xu Wu Zhou 0002 Image Synthesis of Hepatobiliary Phase using Contrast-Enhanced MRI and Diffusion Model. 1-5 2024 ISBI https://doi.org/10.1109/ISBI56570.2024.10635567 conf/isbi/2024 db/conf/isbi/isbi2024.html#LiLDXZ24 streams/conf/isbi
Yunling Li Shangxuan Li Hanqiu Ju Tatsuya Harada Honglai Zhang Ting Duan Guangyi Wang Lijuan Zhang Lin Gu 0003 Wu Zhou 0002 Correlated and individual feature learning with contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. 109638 2023 October 142 Pattern Recognit. https://doi.org/10.1016/j.patcog.2023.109638 db/journals/pr/pr142.html#LiLJHZDWZGZ23
Shangxuan Li Yu Du Li Ye Chichi Li Yanshu Fang Cheng Wang Wu Zhou 0002 Teeth and Root Canals Segmentation using Zxyformer with Uncertainty Guidance and Weight Transfer. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230644 conf/isbi/2023 db/conf/isbi/isbi2023.html#LiDYLFWZ23 Shangxuan Li Yanshu Fang Guangyi Wang Lijuan Zhang Wu Zhou 0002 Inter-Modal Conditional-Guided Fusion Network with Transformer for Grading Hepatocellular Carcinoma. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230796 conf/isbi/2023 db/conf/isbi/isbi2023.html#LiFWZZ23 Yanyan Xie Shangxuan Li Xian Li Baoer Liu Yikai Xu Wu Zhou 0002 Triplet-Uncertainty in Multi-Task Deep Learning for Improving Malignancy Characterization of Hepatocellular Carcinoma. 1-5 2023 ISBI https://doi.org/10.1109/ISBI53787.2023.10230788 conf/isbi/2023 db/conf/isbi/isbi2023.html#XieLLLXZ23 Shangxuan Li Chichi Li Yu Du Li Ye Yanshu Fang Cheng Wang Wu Zhou 0002 Transformer-Based Tooth Segmentation, Identification and Pulp Calcification Recognition in CBCT. 706-714 2023 MICCAI (5) https://doi.org/10.1007/978-3-031-43904-9_68 conf/miccai/2023-5 db/conf/miccai/miccai2023-5.html#LiLDYFWZ23
Shangxuan Li Yu Du Li Ye Chichi Li Yanshu Fang Cheng Wang Wu Zhou 0002 Teeth And Root Canals Segmentation Using ZXYFormer With Uncertainty Guidance And Weight Transfer. 2023 abs/2308.07072 CoRR https://doi.org/10.48550/arXiv.2308.07072 db/journals/corr/corr2308.html#abs-2308-07072
Shangxuan Li Yanyan Xie Guangyi Wang Lijuan Zhang Wu Zhou 0002 Attention guided discriminative feature learning and adaptive fusion for grading hepatocellular carcinoma with Contrast-enhanced MR. 102050 2022 97 Comput. Medical Imaging Graph. https://doi.org/10.1016/j.compmedimag.2022.102050 db/journals/cmig/cmig97.html#LiXWZZ22
Haoyuan Huang Yanyan Xie Guangyi Wang Lijuan Zhang Wu Zhou 0002 DLNLF-net: Denoised local and non-local deep features fusion network for malignancy characterization of hepatocellular carcinoma. 107201 2022 227 Comput. Methods Programs Biomed. https://doi.org/10.1016/j.cmpb.2022.107201 db/journals/cmpb/cmpb227.html#HuangXWZZ22
Shangxuan Li Yanyan Xie Guangyi Wang Lijuan Zhang Wu Zhou 0002 Adaptive Multimodal Fusion With Attention Guided Deep Supervision Net for Grading Hepatocellular Carcinoma. 4123-4131 2022 26 IEEE J. Biomed. Health Informatics 8 https://doi.org/10.1109/JBHI.2022.3161466 db/journals/titb/titb26.html#LiXWZZ22
Haoyuan Huang Baoer Liu Lijuan Zhang Yikai Xu Wu Zhou 0002 Transformer Based Multi-task Deep Learning with Intravoxel Incoherent Motion Model Fitting for Microvascular Invasion Prediction of Hepatocellular Carcinoma. 266-275 2022 MICCAI (8) https://doi.org/10.1007/978-3-031-16449-1_26 conf/miccai/2022-7 db/conf/miccai/miccai2022-7.html#HuangLZXZ22 Yunling Li Hui Huang Lijuan Zhang Guangyi Wang Honglai Zhang Wu Zhou 0002 Super-Resolution and Self-Attention with Generative Adversarial Network for Improving Malignancy Characterization of Hepatocellular Carcinoma. 1556-1560 2020 ISBI https://doi.org/10.1109/ISBI45749.2020.9098705 conf/isbi/2020 db/conf/isbi/isbi2020.html#LiHZWZ020 Wanwei Jian Hanqiu Ju Xiaoping Cen Manman Cui Honglai Zhang Lijuan Zhang Guangyi Wang Lin Gu 0003 Wu Zhou 0002 Improving the malignancy characterization of hepatocellular carcinoma using deeply supervised cross modal transfer learning for non-enhanced MR. 853-856 2019 EMBC https://doi.org/10.1109/EMBC.2019.8857467 https://www.wikidata.org/entity/Q92694434 conf/embc/2019 db/conf/embc/embc2019.html#JianJCCZZWG019 Hanqiu Ju Guangyi Wang Shaoyang Men Honglai Zhang Lin Gu 0003 Wu Zhou 0002 Discrepancy Steered Conditional Adversarial Network For Deep Feature Based Malignancy Characterization of Hepatocellular Carcinoma. 1342-1345 2019 ICIP https://doi.org/10.1109/ICIP.2019.8804297 conf/icip/2019 db/conf/icip/icip2019.html#JuWMZ0019 Shaoyang Men Hanqiu Ju Lijuan Zhang Wu Zhou 0002 Prediction Of Microvascular Invasion Of Hepatocellar Carcinoma With Contrast-Enhanced MR Using 3D CNN And LSTM. 810-813 2019 ISBI https://doi.org/10.1109/ISBI.2019.8759582 conf/isbi/2019 db/conf/isbi/isbi2019.html#MenJZ019 Hanqiu Ju Wanwei Jian Xiaoping Cen Guangyi Wang Wu Zhou 0002 Similarity Steered Generative Adversarial Network and Adaptive Transfer Learning for Malignancy Characterization of Hepatocellualr Carcinoma. 567-574 2019 MICCAI (4) https://doi.org/10.1007/978-3-030-32251-9_62 conf/miccai/2019-4 db/conf/miccai/miccai2019-4.html#JuJCW019 Tianyou Dou Wu Zhou 0002 2D and 3D Convolutional Neural Network Fusion for Predicting the Histological Grade of Hepatocellular Carcinoma. 3832-3837 2018 ICPR https://doi.org/10.1109/ICPR.2018.8545806 https://doi.ieeecomputersociety.org/10.1109/ICPR.2018.8545806 conf/icpr/2018 db/conf/icpr/icpr2018.html#Dou018 Tianyou Dou Lijuan Zhang Wu Zhou 0002 3D deep feature fusion in contrast-enhanced MR for malignancy characterization of hepatocellular carcinoma. 29-33 2018 ISBI https://doi.org/10.1109/ISBI.2018.8363516 conf/isbi/2018 db/conf/isbi/isbi2018.html#DouZ018 Tianyou Dou Lijuan Zhang Hairong Zheng Wu Zhou 0002 Local and Non-local Deep Feature Fusion for Malignancy Characterization of Hepatocellular Carcinoma. 472-479 2018 MICCAI (4) https://doi.org/10.1007/978-3-030-00937-3_54 conf/miccai/2018-4 db/conf/miccai/miccai2018-4.html#DouZZ018 Qiyao Wang Lijuan Zhang Yaoqin Xie Hairong Zheng Wu Zhou 0002 Malignancy characterization of hepatocellular carcinoma using hybrid texture and deep features. 4162-4166 2017 ICIP https://doi.org/10.1109/ICIP.2017.8297066 conf/icip/2017 db/conf/icip/icip2017.html#WangZXZ017
Wu Zhou 0002 Yaoqin Xie Interactive Medical Image Segmentation Using Snake and Multiscale Curve Editing. 2013 2013 Comput. Math. Methods Medicine https://doi.org/10.1155/2013/325903 https://www.wikidata.org/entity/Q37422435 db/journals/cmmm/cmmm2013.html#ZhouX13 325903:1-325903:13
Rui Zhang 0019 Wu Zhou 0002 Yanjie Li Shaode Yu Yaoqin Xie Nonrigid Registration of Lung CT Images Based on Tissue Features. 2013 2013 Comput. Math. Methods Medicine https://doi.org/10.1155/2013/834192 https://www.wikidata.org/entity/Q37353666 db/journals/cmmm/cmmm2013.html#ZhangZLYX13 834192:1-834192:7
Xiaoping Cen Manman Cui Feilin Deng Tianyou Dou Yu Du Ting Duan Yanshu Fang Lin Gu 0003 Tatsuya Harada Haoyuan Huang Hui Huang Wanwei Jian Hanqiu Ju Chichi Li Shangxuan Li Xian Li Yanjie Li Ye LiLi Ye Yunling Li Baoer Liu Shaoyang Men Cheng Wang Guangyi Wang Qiyao Wang Yanyan Xie Yaoqin Xie Yikai Xu Shaode Yu Honglai Zhang Lijuan Zhang Rui Zhang 0019 Hairong Zheng
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