四川大学主页平台管理系统 wangyan--Home--Paper Publications

王艳

正高

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Date of Employment:2015-07-02

School/Department:计算机学院（软件学院、智能科学与技术学院）

Administrative Position:教授

Education Level:With Certificate of Graduation for Doctorate Study

Degree:工学博士

Status:在岗

Alma Mater:四川大学

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Current position: Home >> Scientific Research Achievements >> Paper Publications

Paper Publications

[1] Yi Zhang, Yan Wang*, Weihua Zhang, Feng Lin, Yifei Pu, Jiliu Zhou. Statistical iterative reconstruction using adaptive fractional order regularization. Biomedical Optics Express. 2016, 7(3): 1015-1029.
[2] Ma G, Wu L, Wang Y. A general subspace ensemble learning framework via totally-corrective boosting and tensor-based and local patch-based extensions for gait recognition. Pattern Recognition, 2017, 66: 280-294.
[3] Yan Wang, Ma Guangkai, Ligang Wu. Subspace ensemble learning via totally-corrective boosting for gait recognition. Neurocomputing. 2017, 224: 119-127.
[4] Yan Wang, Xi Wu, Wenzao Li, Zhi Li, Yi Zhang, Jiliu Zhou. Analysis of micro-Doppler signatures of vibration targets using EMD and SPWVD. Neurocomputing. 2016. 171:48–56.
[5] Wenzheng Xu, Weifa Liang, Jian Peng, Yiguang Liu, Yan Wang, Maximizing charging satisfaction of smartphone users via wireless energy transfer. IEEE Trans. on Mobile Computing. 2017, 16(4): 990-1004.
[6] Le An, Pei Zhang, Ehsan Adeli-Mosabbeb, Yan Wang, Guangkai Ma, Feng Shi, David S. Lalush, Weili Lin, Dinggang Shen. Multi-level Canonical Correlation Analysis for Standard-dose PET Image Estimation. IEEE Trans. on Image Processing. 2016, 25(7), 3303-3315.
[7] Zongqing Ma, Xi Wu, Xin Wang, Qi Song, Youbing Yin, Kunlin Cao, Yan Wang*, Jiliu Zhou. An iterative multi-path fully convolutional neural network for automatic cardiac segmentation in cine MR images, Medical Physics, 2019, 46(12):5652-5665.
[8] Wang Yan, Yu, B., Wang, L., Zu, C., Luo, Y., Wu, X., Yang, Z., Zhou, J., Zhou, L. (2018). Tumor segmentation via multi-modality joint dictionary learning. 15th IEEE International Symposium on Biomedical Imaging, Washington, DC: Institute of Electrical and Electronics Engineers (IEEE ISBI 2018).
[9] Wang, Yan, Zhou, L., Wang, L., Yu, B., Zu, C., Lalush, D., Lin, W., Wu, X., Zhou, J., Shen, D. (2018). Locality adaptive multi-modality GANs for high-quality PET image synthesis. 21st International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2018).
[10] Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Feng Shi, Xi Wu, Jiliu Zhou, David S. Lalush, Weili Lin, Dinggang Shen*. Predicting standard-dose PET image from MR and low-dose PET images using mapping-based sparse representation. Physics in Medicine and Biology. 2016, 61(2): 791-812.

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