个人简介

郭玙，博士，硕士生导师

主要研究方向

　生物医学信号与图像分析处理，主要内容包括计算机辅助疾病诊断及预后预测、医学图像分割、模式识别、深度学习、信号分离等

代表性学术成果

论文

1.   Nini Qian+, Wei Jiang+, Yu Guo.* Jian Zhu, Jianfeng Qiu, Hui Yu, Xian Huang. Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network. European Radiology (2023). https://doi.org/10.1007/s00330-023-10170-9

2.   Zhengshan Huang, Yu Guo*, Ning Zhang, Xian Huang, Pierre Decazes, Stephanie Becker, Su Ruan, Multi-scale feature similarity-based weakly supervised lymphoma segmentation in PET/CT images, Computers in Biology and Medicine, Volume 151, Part A, 2022, 106230, ISSN 0010-4825, https://doi.org/10.1016/j.compbiomed.2022.106230.

3.   Xiaoqian Wu+, Yu Guo+, Yu Sa, Yipeng Song, Xinghua Li, Yongbin Lv, Dong Xing, Yan Sun, Yizi Cong*, Hui Yu*, Wei Jiang*, Contrast-Enhanced Spectral Mammography-Based Prediction of Non-Sentinel Lymph Node Metastasis and Axillary Tumor Burden in Patients With Breast Cancer, Frontiers in Oncology, 2022(12), DOI: 10.3389/fonc.2022.823897

4.   Chunxue Wan, Shenghan Gao, Xue Shang, Ziyue Wu, Tianyu Li, Wei Ling, Mingxing Zhou, Wenxing Huo, Yu Guo*, Xian Huang*, A Flexible and Stretchable 12-Lead Electrocardiogram System with Individually Deformable Interconnects, Advanced Materials Technologies, 2021, DOI10.1002/admt.202100904

5.   Yu Guo, Pierre Decazes, et al., Deep disentangled representation learning of PET images for lymphoma outcome prediction, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020) IEEE, 2020

6.   Yating Zhang, Jinghao Duan, Yu Sa, Yu Guo*. Multi-Atlas Based Adaptive Active Contour Model with Application to Organs at Risk Segmentation in Brain MR Images. IRBM, 2020(5).

7.   Lu Guo, Ping Wang, Ranran Sun, Chengwen Yang, Ning Zhang, Yu Guo*, Yuanming Feng*, A fuzzy feature fusion method for auto-segmentation of gliomas with multi-modality diffusion and perfusion magnetic resonance images in radiotherapy, Scientific Reports volume 8, Article number: 3231, 2018

8.   Yu Guo, Su Ruan, Paul Walker, Yuanming Feng. Prostate cancer segmentation from multiparametric MRI based on fuzzy Bayesian model. 2014 IEEE International Symposium on Biomedical Imaging(ISBI), pp:866 – 869, 2014.

9.   Yu Guo, Yuanming Feng, Sun Jian, Ning Zhang, Wang Lin, Yu Sa, Ping Wang*, Automatic lung tumor segmentation on PET/CT images using fuzzy Markov random field model, Computational and Mathematical Methods in Medicine, DOI: 10.1155/2014/401201, 2014.

10.  Yu Guo, Su Ruan, Jérome Landré, Yu Zhang, Xin Ming Yuanming Feng*, Localization of prostate cancer based on fuzzy information fusion of multispectral MRI. World Congress on Medical Physics and Biomedical Engineering May 26-31, 2012 Beijing, China, IFMBE Proceedings, vol. 39, pp. 1844-1846. Springer, 2012.

11.  Yu Guo, Su Ruan*, Jérome Landré and Paul Walker , A priori knowledge based frequency-domain quantification of prostate magnetic resonance spectroscopy. Elsevier, Biomedical Signal Processing and Control, 6(1): 13-20, 2011.

12.  Yu Guo, Su Ruan*, Jérome Landré and Jean-Marc, A sparse representation method for magnetic resonance spectroscopy quantification. IEEE Transactions, on Biomedical Engineering, 57(7): 1620-1627, July 2010

图书章节

Yu Guo, Su Ruan, Signal separation with a priori knowledge using sparse representation. Advances in Heuristic Signal Processing and Applications, (Ch 14, pp. 315-332, A. Chatterjee, H. Nobahari and P. Siarry, Eds.) Springer, 2013

科研项目

1. 2021.5-2022.5 横向项目：人体状态测试，负责人。

2. 2013.01-2015.12国家自然科学基金青年基金项目：多体素核磁共振谱量化估计新方法及其辅助肿瘤识别方法的研究，负责人。

3. 2013.01-2015.12 教育部博士点新教师基金：多体素核磁共振谱辅助肿瘤定位相关算法的研究，负责人。