基本信息

姓名:刘静

职称:助理研究员

电子邮件:liujing2016@ia.ac.cn

研究方向:微观脑图谱重构算法

联系地址:北京市海淀区中关村东路95号

教育背景

2016/09至2022/01 中国科学院大学,模式识别与智能系统,工学博士

2012/09至2016/07 西北工业大学,计算机科学与技术,工学学士

科研与学术工作经历

2022/02至今 中国科学院自动化研究所 助理研究员

论文著作发表情况

[1]. Liu, J., Qi, J., Chen, X., Li, Z., Hong, B., Ma, H., ... & Yang, Y. (2022). Fear memory-associated synaptic and mitochondrial changes revealed by deep learning-based processing of electron microscopy data. Cell Reports, 40(5), 111151.

[2]. Liu, J., Wang, S., Lu, Y., Wang, H., Wang, F., Qiu, M., Xie, Q., Han, H., Hua, Y., Aligned Organization of Synapses and Mitochondria in Auditory Hair Cell. Neuroscience Bulletin, 2021.

[3]. Liu, J., Li, L., Yang, Y., Hong, B., Chen, X., Xie, Q., & Han, H. (2020). Automatic reconstruction of mitochondria and endoplasmic reticulum in electron microscopy volumes by deep learning. Frontiers in Neuroscience, 14, 599.

[4]. Liu, J., Hong, B., Chen, X., Xie, Q., Han, H. An effective AI integrated system for neuron tracing on anisotropic electron microscopy volume. Biomedical Signal Processing and Control, 2021, 69: 102829.

[5]. Liu, J., Li, W., Xiao, C., Hong, B., Xie, Q., Han, H. (2018). Automatic Detection and Segmentation of Mitochondria from SEM Images using Deep Neural Network. In 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 628-631). IEEE.

[6]. Hong, B., Liu, J., Shen, L., Xie, Q., Yuan, J., Emrouznejad, A., Han, H. (2023). Graph partitioning algorithms with biological connectivity decisions for neuron reconstruction in electron microscope volumes. Expert Systems with Applications, 222, 119776.

[7]. Li, W., Liu, J., Xiao, C., Deng, H., Xie, Q., & Han, H. (2018). A fast forward 3D connection algorithm for mitochondria and synapse segmentations from serial EM images. BioData mining, 11(1), 24.

[8]. Xiao, C., Hong, B., Liu, J., Tang, Y., Xie, Q., & Han, H. (2022). Deep residual contextual and subpixel convolution network for automated neuronal structure segmentation in micro-connectomics. Computer Methods and Programs in Biomedicine, 219, 106759.

[9]. Yang, K., Liu, T., Wang, Z., Liu, J., Shen, Y., Pan, X., Zhang, K. (2022). Classifying Drosophila olfactory projection neuron boutons by quantitative analysis of electron microscopic reconstruction. Iscience, 25(5), 104180.

[10]. Xiao, C., Liu, J., Chen, X., Han, H., Shu, C., & Xie, Q. (2018). Deep contextual residual network for electron microscopy image segmentation in connectomics. In 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (pp. 378-381). IEEE.

[11]. Hong, B., Liu, J., Li, W., Xiao, C., Xie, Q., & Han, H. (2018, July). Fully automatic synaptic cleft detection and segmentation from EM images based on deep learning. In International Conference on Brain Inspired Cognitive Systems (pp. 64-74). Springer, Cham.

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