副教授、副研究员、高级工程师

新闻类别:副教授、副研究员、高级工程师
2022-03-25

王植炜

职称

副教授

联系方式

电话 027 8779 2033
手机 15629071129
传真 027 8779 2034
邮箱 zwwang@.hust.edu.cn

教育背景

2010.09-2014.06  中南大学物理学院 电子信息 学士学位

2014.09-2019.06  华中科技大学电信学院 信息与通信工程 博士学位

工作经历

2019.08-2020.08 香港科技大学工学院 博士后

2020.02-至今    华中科技大学武汉光电光国家研究中心 副教授

研究兴趣

主要从事人工智能在医学影像中的研究与应用。加入武汉光电国家研究中心之后,聚焦于智能手术机器人关键技术研发,以及计算机辅助检测与诊断系统研发。包括但不限于:神外手术机器人中图像配准融合、靶区与关键风险区域定位分割等;骨科手术机器人中科布角估计、关键点检测等;内窥镜机器人辅助手术中腹腔三维场景重建、智能质控、病灶智能检测与识别等;以及乳腺癌计算机辅助诊断系统研发

期刊论文

  1. Wang Zhiwei, Yang Yunqiao, Lin Yi, Lv Jinxin, Li Xin* and Yang Xin*. Accurate Scoliosis Vertebral Landmark Localization on X-ray Images via Shape-constrained Multi-stage Cascaded CNNs[J]//Fundamental Research, 2022.(期刊论文,已接收)

  2. Shi Hongkuan#, Wang Zhiwei#, Lv Jinxin, Wang Yilang, Zhang Peng, Zhu Fei and Li Qiang*. Semi-supervised Learning via Improved Teacher-Student Network for Robust 3D Reconstruction of Stereo Endoscopic Image[C]//Proceedings of the 29th ACM International Conference on Multimedia. 2021: 4661-4669.(会议论文,CCF-Aoral

  3. Xian Junlin#, Wang Zhiwei#, Cheng Kwang-Ting and Yang Xin. Towards Robust Dual-View Transformation via Densifying Sparse Supervision for Mammography Lesion Matching[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 355-365.(会议论文,医学人工智能顶会,poster

  4. Wang Sheng#, Lv Jinxin#, Shi Hongkuan, Wang Yilang, Liang Yuanhuai, Ouyang Zihui, Wang Zhiwei* and Li Qiang*. Progressive and Coarse-to-Fine Network for Medical Image Registration Across Phases, Modalities and Patients[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2021: 180-185.(会议论文,医学人工智能顶会,challenge

  5. Wang Zhiwei, Jiang Xixi, Liu Jingen, Cheng Kwang-Ting and Yang Xin*. Multi-task siamese network for retinal artery/vein separation via deep convolution along vessel[J]. IEEE Transactions on Medical Imaging, 2020, 39(9): 2904-2919.(期刊论文,IF=10.048

  6. Wang Zhiwei, Lin Yi, Cheng Kwang-Ting and Yang Xin*. Semi-supervised mp-MRI data synthesis with StitchLayer and auxiliary distance maximization[J]. Medical image analysis, 2020, 59: 101565.(期刊论文,IF=11.148

  7. Wang Zhiwei, Liu Chaoyue, Cheng Danpeng, Wang Liang, Yang Xin* and Cheng Kwang-Ting. Automated detection of clinically significant prostate cancer in mp-MRI images based on an end-to-end deep neural network[J]. IEEE transactions on medical imaging, 2018, 37(5): 1127-1139.(期刊论文,IF=10.048

  8. Wang Zhiwei, Yang Xin* and Cheng Kwang-Ting. Accurate face alignment and adaptive patch selection for heart rate estimation from videos under realistic scenarios[J]. PloS one, 2018, 13(5): e0197275.(期刊论文,IF=3.2

  9. Wang Zhiwei, Lin Yi, Liao Chunyuan, Cheng Kwang-Ting and Yang Xin*. StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer[C]//BMVC. 2018: 240.(会议论文,CCF-Cposter

  10. Yang Xin#, Liu Chaoyue, Wang Zhiwei*, Yang Jun, Le Minh Hung, Wang Liang# and Cheng Kwang-Ting. Co-trained convolutional neural networks for automated detection of prostate cancer in multi-parametric MRI[J]. Medical image analysis, 2017, 42: 212-227.(期刊论文,IF=11.148

  11. Wang Zhiwei, Liu Chaoyue, Bai Xiang and Yang Xin*. Deepcadx: Automated prostate cancer detection and diagnosis in mp-mri based on multimodal convolutional neural networks[C]//Proceedings of the 25th ACM international conference on Multimedia. 2017: 1229-1230.(会议论文,CCF-Ademo

  12. Wang Zhiwei and Yang Xin*. Joint Face Detection and Initialization for Face Alignment[C]//International Conference on Multimedia Modeling. Springer, Cham, 2017: 164-175.(会议论文,CCF-Coral

  13. Wang Zhiwei and Yang Xin*. V-head: Face detection and alignment for facial augmented reality applications[C]//International Conference on Multimedia Modeling. Springer, Cham, 2017: 450-454.(会议论文,CCF-Cdemo

    其他:

  14. Chao Lianying, Wang Zhiwei, Zhang Haobo, Xu Wenting, Zhang Peng and Li Qiang*. Sparse-View Cone Beam CT Reconstruction using Dual CNNs in Projection Domain and Image Domain[J]. Neurocomputing, 2021.(期刊论文,IF=5.7

  15. Yan Zengqiang, Wicaksana Jefferey, Wang Zhiwei, Yang Xin* and Cheng Kwang-Ting. Variation-aware federated learning with multi-source decentralized medical image data[J]. IEEE Journal of Biomedical and Health Informatics, 2020, 25(7): 2615-2628.(期刊论文,IF=5.8

  16. Jiang Xixi, Luo Qingqing, Wang Zhiwei, Mei Tao, Li Xin, Cheng Kwang-Ting and Yang Xin*. Multi-phase and multi-level selective feature fusion for automated pancreas segmentation from CT images[C]//International Conference on Medical Image Computing and Computer-Assisted Intervention. Springer, Cham, 2020: 460-469.(会议论文,医学人工智能顶会,poster

  17. Yang Xin, Lin Yin*, Wang Zhiwei and Cheng Kwang-Ting. Bi-modality medical image synthesis using semi-supervised sequential generative adversarial networks[J]. IEEE journal of biomedical and health informatics, 2019, 24(3): 855-865.(期刊论文,IF=5.8

  18. Yang Xin, Chen Jinyu, Wang Zhiwei, Zhang Qiaozhe, Liu Wenyu, Liao Chunyuan and Cheng Kwang-Ting. Monocular camera based real-time dense mapping using generative adversarial network[C]//Proceedings of the 26th ACM international conference on Multimedia. 2018: 896-904.(会议论文,CCF-Aposter

  19. Yang Xin, Wang Zhiwei, Liu Chaoyue, Le Minh Hung, Chen Jingyu, Cheng Kwang-Ting and Wang Liang. Joint detection and diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks[C]//International conference on medical image computing and computer-assisted intervention. Springer, Cham, 2017: 426-434.(会议论文,医学人工智能顶会,poster

  20. Le Minh Hung, Chen Jingyu, Wang Liang, Wang Zhiwei, Liu Wenyu, Cheng Kwang-Ting and Yang Xin*. Automated diagnosis of prostate cancer in multi-parametric MRI based on multimodal convolutional neural networks[J]. Physics in Medicine & Biology, 2017, 62(16): 6497.(期刊论文,IF=3.6

  21. Yang Xin, Liu Chaoyue, Le Minh Hung, Wang Zhiwei, Chien Aichi and Cheng Kwang-Ting*. An automated method for accurate vessel segmentation[J]. Physics in Medicine & Biology, 2017, 62(9): 3757.(期刊论文,IF=3.6) 

专利

[1] 王植炜; 李强; 吕进鑫; 杨云桥 ; 一种脊柱标记点定位模型的构建方法及应用, 2021-8-13, 中国, 2021109340193 (已申请)

在研或已完成的科研项目:

  • 国家自然科学基金委员会,面上项目,61872417,基于多参数核磁的前列腺癌自动检测与诊断方法研究,2019-01-01至2022-12-31,65万元,在研,参与

  • 武汉市科技局,重大专项,2021022002023420,三维影像引导手术机器人多模态医学图像处理算法研究,2021-09-01至2024-08-31,87万元,在研,参与