(1) 2011-10 至 2014-06, 悉尼大学-联合培养, 信息技术, 博士
(2) 2009-09 至 2014-06, 上海交通大学, 生物医学工程, 博士
(3) 2005-09 至 2009-06, 中南大学, 生物医学工程, 学士
(1) 2021-12 至 今, 中国科学院深圳先进技术研究院, 医工所, 研究员
(2) 2016-12 至 2021-12, 中国科学院深圳先进技术研究院, 医工所, 副研究员
(3) 2014-07 至 2016-11, 中国科学院深圳先进技术研究院, 医工所, 助理研究员
(1) 2023-02-24-今,IEEE Transactions on Medical Imaging, (SCI, JCR1), Associate Editor
(2) 2021-10-31-今,Pattern Recognition (SCI, JCR1), Associate Editor
(3) 2020-12-30-今,Magnetic resonance in medicine （SCI, JCR 1）, Deputy editor (副主编)
(4) 2019-05-29-今,Biomedical signal processing and control (SCI, JCR 2), Associate Editor
(5) 2019-04-28-今,IEEE reviews in biomedical engineering （SCI，JCR-1）, Editorial committe member
(6) 2019-01-01-今,IEEE Senior Member,
(7) 2019-12-30-2021-12-31,OCSMRM BoT member,
(8) 2019-2023 Area chair for MICCAI, MIDL, ISMRM, IEEE ISBI etc
(1) 国家自然科学基金委员会, 联合基金项目, U22A2040, 急诊环境下的心脑血管多模态影像融合分析关键技术研究, 主持
(2) 国家自然科学基金委员会, 优秀青年科学基金项目, 62222118, 实时高分辨磁共振成像与智能分析,主持
(3) 国家自然科学基金委员会, 数学天元基金项目, 12026603, 分布式超快核磁共振成像的数学理论与算法, 参与
(4) 国家自然科学基金委员会, 重点项目, 81830056, 脑卒中相关血管床粥样硬化斑块的快速磁共振成像及智能诊断研究, 参与
(5) 国家自然科学基金委员会, 面上项目, 61871371, 基于深度先验学习的头颈一体化磁共振血管壁快速成像关键问题研究, 主持
(6) 科技部国家重点研究计划，科技创新2030-“新一代人工智能”重大项目课题, 医学影像人工智能创新平台负责人
(1) Shanshan Wang; Cheng Li; Rongpin Wang; Zaiyi Liu; Meiyun Wang; Hongna Tan; Yaping Wu; Xinfeng Liu; Hui Sun; Rui Yang; Xin Liu; Jie Chen; Huihui Zhou; Ismail Ben Ayed; Hairong Zheng ; Annotation-efficient deep learning for automatic medical image segmentation, Nature Communications, 2021, 12(5915) (期刊论文)
(2) Shanshan Wang; Sha Tan; Yuan Gao; Qiegen Liu; Leslie Ying; Taohui Xiao; Yuanyuan Liu; Xin Liu; Hairong Zheng; Dong Liang ; Learning joint-sparse codes for calibration-free parallel MR imaging, IEEE Transactions on Medical Imaging, 2018, 37(1): 251-261 (期刊论文)
(3) Shanshan Wang; Huitao Cheng; Leslie Ying; Taohui Xiao; Ziwen Ke; Hairong Zheng; Dong Liang ; DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution, Magnetic Resonance Imaging, 2020, 68: 136-147 (期刊论文)
(4) Weijian Huang; Hao Yang; Xinfeng Liu; Cheng Li; Ian Zhang; Rongpin Wang; Hairong Zheng; Shanshan Wang ; A coarse-to-fine deformable transformation framework for unsupervised multicontrast MR image registration with dual consistency constraint, IEEE Transactions on Medical Imaging, 2021, 40(10): 2589-2599 (期刊论文)
(5) Yongjin Zhou; Jingxu Xu; Qiegen Liu; Cheng Li; Zaiyi Liu; Meiyun Wang; Hairong Zheng; Shanshan Wang ; A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification, IEEE Transactions on Biomedical Engineering, 2018, 65(9): 1935-1942 (期刊论文)
(6) Shanshan Wang; Yong Xia; Qiegen Liu; Pei Dong; David Dagan Feng; Jianhua Luo ; Fenchel Duality Based Dictionary Learning for Restoration of Noisy Images, IEEE Transactions on Image Processing, 2013, 22(12): 5214-5225 (期刊论文)
(7) Shanshan Wang; Ruoyou Wu; Cheng Li; Juan Zou; Ziyao Zhang; Qiegen Liu; Yan Xi; Hairong Zheng ; PARCEL: Physics-based Unsupervised Contrastive Representation Learning for Multi-coil MR Imaging., IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2022, PP: 1-10 (期刊论文)
(8) Shanshan Wang; Ziwen Ke; Huitao Cheng; Sen Jia; Leslie Ying; Hairong Zheng; Dong Liang ; DIMENSION: Dynamic MR Imaging with Both K-space and Spatial Prior Knowledge Obtained via Multi-Supervised Network Training, NMR in Biomedicine, 2019, e4131: 1-16 (期刊论文)
(9) Shanshan Wang; Yong Xia; Qiegen Liu; Jianhua Luo; Yuemin Zhu; David Dagan Feng ; Gabor feature based nonlocal means filter for textured image denoising, Journal of Visual Communication and Image Representation, 2012, 23(7): 1008-1018 (期刊论文)
(10) Shanshan Wang; Taohui Xiao; Qiegen Liu; Hairong Zheng ; Deep learning for fast MR imaging: a review for learning reconstruction from incomplete k-space data, Biomedical Signal Processing and Control, 2021, 68(102579): 1-12 (期刊论文)
(11) Shanshan Wang; Qiegen Liu; Yong Xia; Pei Dong; Jianhua Luo; Qiu Huang; David Dagan Feng ; Dictionary learning based impulse noise removal via L1–L1 minimization, Signal Processing, 2013, 93(9): 2696-2708 (期刊论文)
(12) Yongjin Zhou; Weijian Huang; Pei Dong; Yong Xia; Shanshan Wang ; D-UNet: a dimensionfusion U shape network for chronic stroke lesion segmentation, IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(3): 940-950(ESI高被引) (期刊论文)
(13) Xiran Jiang; Jiaxin Li; Yangyang Kan; Tao Yu; Shijie Chang; Xianzheng Sha; Hairong Zheng; Yahong Luo; Shanshan Wang ; MRI Based Radiomics Approach with Deep Learning for Prediction of Vessel Invasion in Early-Stage Cervical Cancer , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(3): 995-1002(ESI高被引) (期刊论文)
(14) Cheng Li; Jingxu Xu; Qiegen Liu; Yongjin Zhou; Lisha Mou; Zuhui Pu; Yong Xia; Hairong Zheng; Shanshan Wang ; Multi-view mammographic density classification by dilated and attentionguided residual learning , IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2021, 18(3): 1003-1013 (期刊论文)
(15) Yu Gong; Hongming Shan; Yueyang Teng; Ning Tu; Ming Li; Guodong Liang; Ge Wang; Shanshan Wang ; Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising, IEEE Transactions on Radiation and Plasma Medical Sciences, 2021, 5(2): 213-223 (期刊论文)
(1) 王珊珊(2/10); 肿瘤影像组学创新技术及应用, 广东省科技厅, 科技进步, 省部一等奖, 2021(刘再毅 (医院放射科医生); 王珊珊; 高英; 梁长虹; 黄燕琪; 陈鑫; 冯前进; 何兰; 王广谊; 陈舒婷) (科研奖励)
(2) 王珊珊(1/1); 2018 OCSMRM海外华人医学磁共振协会杰出研究奖, OCSMRM, 自然科学, 国际学术奖, 2018(王珊珊) (科研奖励)
(3) 王珊珊(1/1); 吴文俊人工智能优秀青年奖, 中国人工智能学会, 其他, 其他, 2020(王珊珊) (科研奖励)
(4) 王珊珊; 肖韬辉; 郑海荣; 刘新; 梁栋 ; 一种磁共振成像及斑块识别方法和装置, 2020-7-3, 中国, ZL201811525181.4 (专利)
(5) 王珊珊; 梁栋; 谭莎; 刘新; 郑海荣 ; 一种基于自适应联合稀疏编码的并行磁共振成像方法、装置及 计算机可读介质, 2021-12-17, 中国, ZL201711246873.0 (专利)
(6) 王珊珊; 梁栋; 黄宁波; 刘新; 郑海荣 ; 基于深度卷积网的一维部分傅里叶并行磁共振成像方法, 2019-7-30, 中国, ZL201710416357.1 (专利)
(7) Shanshan Wang ; 哈佛大学Gordon Lecture: "Learning Reconstruction and Analysis for Medical Imaging", Gordon Center for Medical Imaging Seminar Series , Harvard Medical School, 55 Fruit Street, White 427 Boston, MA 02114,United States, 2019-5-9至2019-5-11 (会议报告)
(8) Shanshan Wang ; 教育讲座（Educational Lecture）:"Applications of Machine Learning: Data Acquisition & Image Reconstruction", ISMRM 28th Annual Meeting & Exhibition, Paris Expo Porte de Versailles,Paris, France , 2020-8-8至2020-8-13 (会议报告)
(9) Shanshan Wang ; 主题报告（Plenary Talk）: "Learning Image Reconstruction: Artificial Intelligence Changes the Game", Gordon Research Conference on In Vivo Magnetic Resonance , 204 Main Street, Andover, NH,United States, 2018-7-15至2018-7-20 (会议报告)
(10) Shanshan Wang ; 大会主题冠名报告 (NIBIB New Horizons Lecture) Artificial Intelligence for MRI : Opportunities and Challenges, ISMRM 31st Annual Meeting & Exhibition, London, Royal Victoria Dock, 1 Western Gateway, London, 2022-5-6至2022-5-12 (会议报告)
