周宇佳

姓名：周宇佳

职称：副教授

联系邮箱：1013656609@qq.com

v 学习经历

2008.09-2012.06 南方医科大学，生物医学工程，学士

2012.09-2017.06 南方医科大学，生物医学工程，博士，导师：冯前进

v 工作经历

2017.07-2019.09 南方医科大学生物医学工程学院，博士后，导师：冯前进

2019.09-2023.08 南方医科大学生物医学工程学院医学信息所，讲师

2023.09-至今 南方医科大学生物医学工程学院医学信息所，副教授

v 研究方向

医学图像配准

v 主要科研课题

1、 国家自然科学基金面上项目，术前术后脑胶质瘤靶区精准勾画中多任务特征辅助的配准方法研究，2023/01-2026/12，55万元，在研，主持

2、 广东省自然科学基金面上项目，图卷积提取全粒度结构和功能特征的fMRI微分同胚配准方法研究，2024/01-2026/12，15万，在研，主持.

3、 广东省自然科学基金面上项目，2114050002160，术前/术后复发脑胶质瘤磁共振图像配准方法新研究，2023/01-2025/12，10万，在研，主持.

4、 广州市基础与应用基础研究专题（优秀博士“续航”项目），2024A04J9911，面向前列腺肿瘤穿刺的MR-TRUS跨模态图像配准方法新研究，2024/01-2025/12，10万，在研，主持.

5、 国家自然科学基金青年项目，81801780，功能磁共振成像中脑白质功能信息辅助的配准方法研究，2019/01-2021/12，21万元，已结题，主持

6、 中国博士后面上项目1项，2018M633074，脑白质信息辅助的功能磁共振图像配准，5万元，已结题，主持

v 代表性论文

[1] Lei Zhao#, Shumao Pang#, Yangfan Chen, Xiongfeng Zhu, Ziyue Jiang, Zhihai Su, Hai Lu, Yujia Zhou* (周宇佳) and Qianjin Feng*. SpineRegNet: Spine Registration Network for Volumetric MR and CT Image by the Joint Estimation of an Affine-Elastic Deformation Field[J]. Medical Image Analysis, 2023: 102786, Online. (JCR一区，IF=10.9)

[2] Yujia Zhou(周宇佳), Yuhang Sun, Wei Yang, Zhentai Lu, Meiyan Huang, Lijun Lu, Yu Zhang, Yanqiu Feng, Wufan Chen, Qianjin Feng*. Correlation-weighted sparse representation for robust liver DCE-MRI decomposition registration, IEEE Transaction on Medical Imaging, 2019, 10(38): 2352-2363. (JCR一区，IF=10.6)

[3] Yujia Zhou(周宇佳); Han Zhang; Lichi Zhang; Xiaohuan Cao; Ru Yang; Qianjin Feng*; Pew-Thian Yap; Dinggang Shen*, Functional MRI Registration with Tissue-Specific Patch-Based Functional Correlation Tensors, Human Brain Mapping, 2018, 39(6): 2303-2316.

[4] Jia Mi, Wenhao Yin, Yangfan Chen, Lei Zhao, Yangfan Chen, Yujia Zhou* (周宇佳) and Qianjin Feng*.SGReg: Segmentation Guided 3D/2D RigidRegistration for Orthogonal X-ray and CT images in Spine Surgery Navigation. [J]. Physics in Medicine & Biology, 2023,68(13).

[5] Yuhang Sun, Lijun Zhao, Yi Wu, Meiyan Huang, Wei Yang, Yujia Zhou* (周宇佳) and Qianjin Feng*. Liver DCE-MRI registration based on sparse recovery de-enhanced curves [J]. Medical Physics. 2021. 48(11): p. 6916-6929.

[6] Yujia Zhou (周宇佳); Pew-Thian Yap; Han Zhang; Lichi Zhang; Qianjin Feng*; Dinggang Shen*, Improving Functional MRI Registration Using Whole-Brain Functional Correlation Tensors, Medical Image Computing and Computer Assisted Intervention, MICCAI, 2017.9.10-2017.9.15.(顶级学术会议)

[7] Yujia Zhou (周宇佳), Pew-Thian Yap, Han Zhang, Lichi Zhang, Qianjin Feng, and Dinggang Shen, Spatial Registration of fMRI Data Using Functional Correlation Tensors, International Society for Magnetic Resonance in Medicine, ISMRM,2017.4.22-2017.4.27

[8] QiaoYun Zhu, Yuhang Sun, Yi Wu, HuoBiao Zhu, GuoYe Lin, Yujia Zhou* (周宇佳) and Qianjin Feng*. Whole-brain functional MRI registration based on a semi-supervised deep learning model [J]. Medical Physics. 2021. 48(6), 2847-2858.

[9] QiaoYun Zhu, Guoye Lin, Yuhang Sun, Yi Wu, Yujia Zhou* (周宇佳) and Qianjin Feng*. fMRI progressive registration based on cascaded convolutional neural network [J]. Quantitative Imaging in Medicine and Surgery. 2021. 11(8): p. 3569.

[10] QiaoYun Zhu, Hanhua Bai, Yi Wu, Yujia Zhou* (周宇佳) and Qianjin Feng*. Identity-mapping cascaded network for fMRI registration [J]. Physics in Medicine & Biology, 2021. 66(22): p. 225011