Guo Yu
School
Medical College
Professional Title
Associate professor
Discipline
Biomedical Engineering
Contact Information
guoyu@tju.edu.cn
92 Weijin Rd., Tianjin, China
Education Background
- Ph.D| University of Reims Champagne-Ardenne, France| Signal and Image Processing| 2011
- Master's Degree| Dalian University of Technology| Signal and Information Processing| 2008
- Bachelor's Degree| Dalian University of Technology| Electronic Engineering| 2005
Research Interests
- My main area of research is biomedical signal and image processing, particularly in the fields of medical image segmentation, information fusion, sparse representation with application to signal separation.
- Medical image segmentation and classification; Computer aided diagonosis and prognosis
- Pattern recognition; Deep learning; Sparse representation for signal separation
Courses
Positions & Employments
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2018.12-2019.12
LITIS - IT LABORATORY, INFORMATION PROCESSING AND SYSTEMS | University of Rouen, France | Visiting Scholar -
2011.9-Now
Department of Biomedical Engineering | Tianjin University | Lecturer, Associate Professor
Academic Achievements
- Papers
- [1] Nini Qian#, Wei Jiang#,Xiaoqian Wu,Ning Zhang,Hui Yu, Yu Guo*, Lesion attention guided neural network for contrast-enhanced mammography-based biomarker status prediction in breast cancer, Computer Methods and Programs in Biomedicine, volume 250, June 2024, 108194
- [2] Nini Qian#, Wei Jiang#, Yu Guo.* et al. Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network. Eur Radiol (2023). https://doi.org/10.1007/s00330-023-10170-9
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- [3] 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.
- [4] 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
- [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] 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
- [7] 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).
- [8] 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
- [9] Yu Guo, Yuanming Feng, Sun Jian et al., 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
- [10] Yu Guo, Yuanming Feng, Sa Yu, et al., Fuzzy Bayesian Method for Automatic Multiparametric MRI-Guided GTV Delineation of Prostate Cancer, International Journal of Radiation Oncology*Biology*Physics，90(1), S74
- [11] Yu Guo, Jian Sun, Wang Lin, et al., Automatic Delineation of Gross Tumor Volume (GTV) for Non-Small Cell Lung Cancer (NSCLC) On PET/CT Images Using Fuzzy Markov Random Field (MRF) Model, Medical Physics, vol. 40, issue 6, DOI: 10.1118/1.4814323
- [12] Yu Guo, Hongyan Ni, et al, A new method for prostate cancer localization using multispectral MRI, Medical Physics, vol. 39, issue 6, p. 3642
- [13] 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
- [14] Yu Guo, Su Ruan, Jérome Landré and Jean-Marc Constans,A sparse representation method for magnetic resonance spectroscopy quantification, IEEE Transactions, on Biomedical Engineering, 57(7): 1620-1627,
- [15] 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, 28-May 2,
- [16] Yu Guo, Su Ruan, Jérome Landré, Yu Zhang, Xin Ming and 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
- [17] Chunfeng Lian, Su Ruan, Thierry Denoeux, Yu Guo. Accurate tumor segmentation in FDG-PET with guidance of complementary CT images，2017 IEEE international conference on image processing, 4447-4451
- [18] Lu Guo, Gang Wang, et al. Diffusion and perfusion weighted magnetic resonance imaging for tumor volume definition in radiotherapy of brain tumors, Radiation Oncology,11,1-13
- [19] Chunmei Yang, Ning Zhang, Yu Guo, Yuanming Feng, Modeling Intracellular Ca2+ Transient Induced by Low-Intensity Ultrasound, Current Bioinformatics,10,1-6
- [20] Lu Guo, Shuming Shen, Eleanor Harris, Zheng Wang, Wei Jiang, Yu Guo, Yuanming Feng, A Tri-Modality Image Fusion Method for Target Delineation of Brain Tumors in Radiotherapy, PLoS ONE 9(11): e112187