生物图像处理与信息学，计算机视觉，模式识别，人工智能，计算生物学，计算神经生物学

欢迎人工智能、模识识别、计算生物学，生物物理学，数学等专业优秀学生报考。

招生部门：中国科学院大学人工智能学院,中国科学院自动化研究所模式识别国家重点实验室, 计算生物学与机器智能团 

招生方向： 081203-计算机应用技术，081104-模式识别与智能系统

图像分析与处理
生物图像处理与信息学
Fundamentals of Biomedical Imaging and Image Analysis
Engineering Molecular Cell Biology
Bioimage Informatics

现指导学生

吴诗雨  硕士研究生  085210-控制工程  

罗曜儒  博士研究生  081104-模式识别与智能系统  

   

2019-01~现在, 中国科学院自动化研究所模式识别国家重点实验室, 研究员
2019-01~现在, 中国科学院大学人工智能学院, 教授 (长聘）
2019-01~现在, 中国科学院自动化研究所模式识别国家重点实验室, 研究员
2019-01~现在, 中国科学院大学人工智能学院, 教授 (长聘）
2014-07~2018-12,卡内基梅隆大学生物医学工程系与计算生物学系, 副教授
2014-07~2018-12,卡内基梅隆大学生物医学工程系与计算生物学系, 副教授
2009-01~2014-06,卡内基梅隆大学生物医学工程系与计算生物学系, 助理教授
2009-01~2014-06,卡内基梅隆大学生物医学工程系与计算生物学系, 助理教授
2004-01~2008-12,美国斯克利普斯研究所 (TSRI), 博士后 （计算生物学）
2004-01~2008-12,美国斯克利普斯研究所 (TSRI), 博士后 （计算生物学）

Associate Editor, BMC Bioinformatics (area: bioimage informatics; term 2016-)
Associate Editor, IEEE Signal Processing Letters (area: biomedical imaging; term: 2012-2014)
Member,IEEE Signal Processing Society Bio Imaging and Signal Processing Technical Committee (2012-2014; 2015-2017)
Co-chair (with Dimitri Van De Ville of EPFL) of tutorial sessions,2015 IEEE International Symposium on Biomedical Imaging (ISBI 2015)

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Best Paper Award (with Hao-Chih Lee), IEEE International Symposium on Biomedical Imaging (ISBI), 2015 [3] 
Best Paper Award (with Kuan-Chieh Chen), International Symposium on Computational Modeling of Image Objects (CompIMAGE'14), 2014
National Science Foundation Faculty Early Career Award, 2012
Invited participant, IEEE EMBS Forum on Grand Challenges in Biomedical Imaging, 2012
Invited participant, NSF Ideas Lab on Innovations in Biological Imaging and Visualization, 2010
Wimmer Faculty Fellow, Wimmer Foundation and Eberly Center for Teaching Excellence, Carnegie Mellon University, 2009
Nomination for Burroughs-Wellcome Interfaces in Science Award, Scripps Research Institute, 2007
Burroughs-Wellcome LJIS Interdisciplinary Fellowship, Burroughs-Wellcome Fund, 2006-2007
Excellent Student Award, Institute of Automation, Chinese Academy of Sciences, 1997
Elite Fellowship, Chinese Academy of Sciences, 1996
Guanghua Fellowship, Tsinghua University, 1989

   

[1] 罗曜儒, 刘国乐, 郭远昊, 杨戈. Deep neural networks learn meta-structure from noisy labels in semantic segmentation. AAAI2022null. 2022, [2] Shiyu Wu, Guole Liu, Ge Yang. Fast particle picking for cryo-electron tomography using one-stage detection. 2022 IEEE International Symposium on Biomedical Imagingnull. 2022, [3] Yuanhao Guo, Di Shen, Yanfeng Zhou, Yutong Yang, Jinzhao Liang, Yating Zhou, Ningning Li, Yu Liu, Ge Yang, Wenjing Li. Deep Learning-Based Morphological Classification of Endoplasmic Reticulum Under Stress. FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY[J]. 2022, 9: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8865080/.
[4] Yang, Tianjie, Luo, Yaoru, Ji, Wei, Yang, Ge. Advancing biological super-resolution microscopy through deep learning: a brief review. BIOPHYSICS REPORTS[J]. 2021, http://arxiv.org/abs/2106.13064.
[5] Liqun Zhong, Guole Liu, 杨戈. Blind denoising of fluorescence microscopy images using GAN-based global noise modeling. 2021 IEEE International Symposium on Biomedical Imagingnull. 2021, [6] 杨戈. Few-shot domain adaptation for in situ macromolecular structural classification in cryo-electron tomograms. Bioinformatics. 2020, [7] Li, Wenjing, Zhang, Shuhao, Yang, Ge. Dynamic organization of intracellular organelle networks. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE[J]. 2020, http://dx.doi.org/10.1002/wsbm.1505.
[8] Angran Li, Xiaoqi Chai, Ge Yang, Yongjie Jessica Zhang. An Isogeometric Analysis Computational Platform for Material Transport Simulation in Complex Neurite Networks. 分子与细胞生物力学(英文)[J]. 2019, 16(2): 123-140, http://lib.cqvip.com/Qikan/Article/Detail?id=7100590019.
[9] Ba, Qinle, Raghavan, Guruprasad, Kiselyov, Kirill, Yang, Ge. Whole-Cell Scale Dynamic Organization of Lysosomes Revealed by Spatial Statistical Analysis. CELL REPORTS[J]. 2018, 23(12): 3591-3606, http://dx.doi.org/10.1016/j.celrep.2018.05.079.
[10] 杨戈. Effects of graphene on nonneuronal and neuronal cell viability and stress. Nano Letters. 2017, [11] Ba Qinle, Yang Ge. Intracellular organelle networks: Understanding their organization and communication through systems-level modeling and analysis. 生物学前沿：英文版[J]. 2017, 12(1): 7-18, http://lib.cqvip.com/Qikan/Article/Detail?id=671483195.
[12] 杨戈. Deep learning based subdivion approach for large scale macromolecular structure recovery from electron cryo tomograms. Bioinformatics. 2017, [13] Yu, Yiyi, Lee, HaoChih, Chen, KuanChieh, Suhan, Joseph, Qiu, Minhua, Ba, Qinle, Yang, Ge. Inner membrane fusion mediates spatial distribution of axonal mitochondria. SCIENTIFIC REPORTS[J]. 2016, 6: https://www.webofscience.com/wos/woscc/full-record/WOS:000368660200003.
[14] 杨戈. Shape component analysis: structure-preserving dimension reduction on biological shape space. Bioinformatics. 2015, 

   

（ 1 ） 中国科学院大学引进人才科研启动项目, 主持, 研究所（学校）, 2019-04--2024-02
（ 2 ） 中国科学院科研启动项目, 主持, 部委级, 2019-01--2021-12
（ 3 ） 基于深度学习的生物荧光显微图像分割关键技术研究与应用, 主持, 国家级, 2020-01--2023-12
（ 4 ） 全细胞尺度溶酶体空间分布与互作调控的计算分析与建模, 主持, 国家级, 2020-01--2023-12