陈旭，博士，副教授，硕士生导师。2018年毕业于厦门大学并获工学博士学位。2018-2021年在美国University of North Carolina at Chapel Hill从事博士后研究。福建省高层次人才，厦门市高层次人才。主持国家自然科学基金面上项目1项、福建省自然科学基金面上项目1项、厦门市自然科学基金面上项目1项。现就职于华侨大学计算机科学与技术学院，主要研究方向为深度学习、医学图像处理。

2025招收研究生信息：

软件工程（学硕）2~3名，研究方向：基于深度学习的医学图像处理

论文成果

• Xu Chen, Mario J Pérez-Jiménez, Luis Valencia-Cabrera, Beizhan Wang, and Xiangxiang Zeng*. Computing with Viruses. Theoretical Computer Science, 623:146–159, 2016. (CCF B类，ESI高被引论文)
  

• Xu Chen, Zhihong Zhang*, Beizhan Wang, Guosheng Hu, Edwin Hancock. Recovering Variations in Facial Albedo from Low Resolution Images. Pattern Recognition, 74:373–384, 2018.（SCI一区）
  

• Zhihong Zhang, Xu Chen（共同一作）, Beizhan Wang*, Guosheng Hu, Wangmeng Zuo, Edwin R. Hancock. Face Frontalization using Appearance Flow based Convolutional Neural Network. IEEE Transactions on Image Processing, 28:2187-2199, 2018. (CCF A类，SCI一区)
  

• Xu Chen, Zhihong Zhang*, Beizhan Wang, Lichi Zhang, Fei Shi, Xinjian Chen and Xiaoyi Jiang. A Graph-based Approach to Automated EUS Image Layer Segmentation and Abnormal Region Detection. Neurocomputing, 336:79-91, 2019.(SCI二区)
  

• Xu Chen, Chunfeng Lian, Li Wang, Hannah Deng, Steve H. Fung, Dong Nie, Kim￾Han Thung, Pew-Thian Yap, Jaime Gateno, James J. Xia* and Dinggang Shen*. One-Shot Generative Adversarial Learning for MRI Segmentation of Craniomaxillofacial Bony Structures. IEEE Transactions on Medical Imaging, 39:787-796, 2020.(SCI一区)
  

• Zhihong Zhang, Ruiyang Liang, Xu Chen*, Xuexin Xu, Guosheng Hu, Wangmeng Zuo, Edwin R.Hancock. Semi-Supervised Face Frontalization in the Wild. Transactions on Information Forensics & Security, vol. 16, pp. 909-922, 2021.(SCI一区)
  

• Xu Chen, Chunfeng Lian, Pew-Thian Yap, Li Wang, Hannah Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, James J. Xia* and Dinggang Shen*. Anatomy￾Regularized Representation Learning for Cross-Modality Medical Image Segmentation. IEEE Transactions on Medical Imaging, 28:2187–2199, 2020.(JCR一区)
  

• Xu Chen, Chunfeng Lian, Li Wang, Hannah Deng, Tianshu Kuang, Steve H. Fung, Jaime Gateno, Dinggang Shen, James J. Xia* and Pew-Thian Yap*. Diverse Data Augmentation for Learning Image Segmentation with Cross-Modality Annotations. Medical Image Analysis, vol. 71, pp. 102060, 2021.(SCI一区)
  

• Xu Chen, Tianshu Kuang, Hannah Deng, Steve H. Fung, Jaime Gateno, James J. Xia*, Pew-Thian Yap*, Dual Adversarial Attention Mechanism for Unsupervised Domain Adaptive Medical Image Segmentation. IEEE Transactions on Medical Imaging, vol. 41, no. 11, pp. 3445-3453, 2022.(SCI一区)

• Xu Chen, Yunkui Pang, Sahar Ahmad, Trevor Royce, Andrew Wang, Jun Lian*, Pew-Thian Yap*, Organ-aware CBCT Enhancement Via Dual Path Learning for Prostate Cancer Treatment. Medical Physics, vol. 50, no. 11, 2023, pp. 6931-6942.(SCI二区)

• Xu Chen, Yunkui Pang, Jun Lian*, Pew-Thian Yap*, Multi-scale anatomical regularization for domain-adaptive segmentation of pelvic CBCT images. Medical Physics, vol. 51, no. 12, 2024, pp. 8804-8813.(SCI二区)

主持项目

国家自然科学基金面上项目（62276105） 2023-2026  53万

福建省自然科学基金面上项目（2023J01136） 2024-2026  8万

厦门市自然科学基金面上项目（3502Z20227193） 2022-2025  8万

华侨大学高层次人才科研启动项目（20221XD029）2022-2025  10万