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  • 办公地址：

    234 Pathology Building, Peking University Health Science Center
    908 Wang Kezhen Building, Peking University

  • 联系电话：

    010-62767580

  • 电子邮箱：

    yanye.lu@pku.edu.cn

  • 个人网页：

    https://nbic.pku.edu.cn/rcdw/kyry/www.milab.wiki

LU Yanye

  • Assistant Professor, Doctoral Advisor
  • Institute of Medical Technology, Peking University
    National Biomedical Imaging Center, Peking University
  • 个人简介
    Dr. Lu is mainly engaged in the research of artificial intelligence, machine vision and medical imaging technology, focusing on the research of weakly supervised and unsupervised learning problems for artificial intelligence and medical imaging technology. He takes the research of artificial intelligence-based medical imaging technology and medical auxiliary diagnosis system as the main application direction, and carries out research in image reconstruction, image enhancement, image classification/segmentation and other aspects. Relevant work has been published in important journals and academic conferences in related research fields such as IEEE TMI, IEEE TNNLS, CVPR, ICCV, ECCV.
  • 所授课程
    Program Design (Compulsory for Medical Technology Undergraduates, 72 hours, 3 credits)
    Pattern Recognition and Artificial Intelligence (Compulsory forMedical Technology undergraduates, 54 hours, 2.5 credits)
  • 个人履历

    2022.03-Present Assistant Professor, Institute of Medical Technology, Peking University
    2016.06-2021.04 Postdoctoral Fellow, Nuremberg University of Erlangen, Germany
    2014.05-2018.12 Siemens Medical Research Associate, Germany
    2014.03-2016.06 Ph. D. (joint training) University of Erlangen Nuremberg, Germany
    2011.09-2016.06 Ph. D. Department of Biomedical Engineering, Peking University
  • 代表性论文及论著
    [1] Lujia Jin#, Qing Guo, Shi Zhao, Lei Zhu, Qian Chen, Qiushi Ren, Yanye Lu*. “One-Pot Multi-Frame Denoising,” International Journal of Computer Vision (2023), In Press.
    [2] Lei Zhu#, Qi She, Qian Chen, Xiangxi Meng, Mufeng Geng, Lujia Jin, Yibao Zhang, Qiushi Ren, Yanye Lu*, "Background-aware Classification Activation Map for Weakly Supervised Object Localization," IEEE Transactions on Pattern Analysis and Machine Intelligence 45(2), 14175-14191 (2023).
    [3] Ximeng Feng#, Mufeng Geng, Xiangxi Meng, Da Zou, Zi Jin, Chuanqing Zhou, Qiushi Ren, Yanye Lu*, "SGLSA: Sphygmus Gated Laser Speckle Angiography for Microcirculation Hemodynamics Imaging," Computerized Medical Imaging and Graphics 103, 102164 (2023).
    [4] Mengdi Gao#, Hongyang Jiang, Lei Zhu, Zhe Jiang, Mufeng Geng, Qiushi Ren, Yanye Lu*, "Discriminative Ensemble Meta-learning with Co-regularization for Rare Fundus Diseases Diagnosis," Medical Image Analysis 89, 102884 (2023).
    [5] Mufeng Geng#, Xiangxi Meng, Lei Zhu, Zhe Jiang, Mengdi Gao, Zhiyu Huang, Bin Qiu, Yicheng Hu, Yibao Zhang, Qiushi Ren, Yanye Lu*, "Triplet Cross-Fusion Learning for Unpaired Image Denoising in Optical Coherence Tomography," IEEE Transactions on Medical Imaging 41(11), 3357-3372 (2022).
    [6] Mufeng Geng#, Xiangxi Meng, Jiangyuan Yu, Lei Zhu, Lujia Jin, Zhe Jiang, Bin Qiu, Hui Li, Hanjing Kong, Jianmin Yuan, Kun Yang, Hongming Shan, Hongbin Han, Zhi Yang, Qiushi Ren, Yanye Lu*, "Content-Noise Complementary Learning for Medical Image Denoising," IEEE Transactions on Medical Imaging 41, 407-419 (2022).
    [7] Lei Zhu#, Qian Chen, Lujia Jin, Yunfei You, Yanye Lu*. “Bagging Regional Classification Activation Maps for Weakly Supervised Object Localization,” Proceedings of the European Conference on Computer Vision (ECCV), 176–192 (2022).
    [8] Lei Zhu#, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu*. “Weakly Supervised Object Localization as Domain Adaption,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 14637-14646 (2022).
    [9] Zhe Jiang#, Zhiyu Huang, Bin Qiu, Xiangxi Meng, Yunfei You, Xi Liu, Mufeng Geng, Gangjun Liu, Chuanqing Zhou, Kun Yang, Andreas Maier, Qiushi Ren, Yanye Lu*. “Weakly Supervised Deep Learning Based Optical Coherence Tomography Angiography,” IEEE Transactions on Medical Imaging 40, 688-698 (2021).
    [10] Mufeng Geng#, Zifeng Tian, Zhe Jiang, Yunfei You, Ximeng Feng, Yan Xia, Kun Yang, Qiushi Ren, Xiangxi Meng, Andreas Maier, Yanye Lu*, "PMS-GAN: Parallel Multi-Stream Generative Adversarial Network for Multi-Material Decomposition in Spectral Computed Tomography," IEEE Transactions on Medical Imaging 40, 571-584 (2021).
    Full Publications: https://wiki.milab.wiki/display/~yanyelu/Yanye+Lu%27s+Publication+List