趙悅(重慶郵電大學副教授)

趙悅(重慶郵電大學副教授)

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趙悅,女,重慶郵電大學副教授,吉林大學賓夕法尼亞大學聯合培養博士,浙江大學博士後。多年來一直從事醫學圖像處理與分析、機器學習和目標識別等相關方面的研究工作,特別是深度學習與傳統方法在多模態牙齒、腦、肺部圖像上的套用。

基本介紹

人物經歷,學習經歷,工作經歷,研究方向,主要成就,社會任職,代表作,

人物經歷

學習經歷

2011.9-2013.8 吉林大學
2015.11-2016.12 賓夕法尼亞大學
2013.9-2017.6 吉林大學 工學博士

工作經歷

2017.7-至今 重慶郵電大學通信學院研究生第十二支部書記、文峰副教授

研究方向

醫學圖像分割、識別、配準、融合、重建、生成,主要針對口腔、頸椎、腦、肺、病理圖像。

主要成就

以第一作者或通信作者在IEEE Transaction on Medical Imaging(TMI,醫學圖像處理頂刊,一區TOP期刊,IF:11.037),Nature Communications (Nature子刊,IF:17.69)、IEEE Conference on Computer Vision and Pattern Recognition,CVPR(國際計算機視覺頂會)、Knowledge-Based Systems(KBS,一區TOP期刊,IF:8.038)、這些本領域內重要的國際期刊和會議上發表學術論文20餘篇。
主持及承擔國家自然科學基金青年基金項目、國家自然科學基金重點項目課題,科技部重點研發子課題、重慶市重點研發計畫項目課題,以及公司項目等10餘項;個人經費總計300萬元以上。獲得重慶市自然科學二等獎(排名第4)

社會任職

擔任重慶郵電大學舉辦的 IEEE 圖像、視覺與計算國際會議(ICIVC 2018)大會分會主席,出版主席。
IEEE International Conference on Multimedia and Expo (ICME) 2022的領域主席。

代表作

近五年主要代表作:
[1]Li Pengcheng, Liu Yang , Cui Zhiming, Yang Feng, Zhao Yue *, Lian Chunfeng*, Gao Chenqiang. Semantic Graph Attention with Explicit Anatomical Association Modeling for Tooth Segmentation From CBCT Images [J]. IEEE Transactions on Medical Imaging(TMI,一區TOP,IF:11.037), 2022. DOI: 10.1109/TMI.2022.3179128.(通信作者)
[2] Cui Zhiming, Fang Yu, Mei Lanzhuju, Zhang Bojun, Yu Bo, Liu Jiameng, Jiang Caiwen, Sun Yuhang, Ma Lei, Huang Jiawei, Liu Yang, Zhao Yue *, Lian Chunfeng*, Ding Zhongxiang*, Zhu Min*, Shen Dinggang*, A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images [J], Nature Communications(Nature子刊,IF:17.69), 2022.(通信作者)
[3] Zhao Yue, Zhang Lingming, Liu Yang, Meng Deyu, Cui Zhiming, Gao Chenqiang*, Gao Xinbo, Lian Chunfeng, Shen Dinggang*. Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation [J]. IEEE Transactions on Medical Imaging(TMI,一區TOP,IF:11.037), 2021. (第1作者)
[4] Zhang Lingming, Zhao Yue, Meng Deyu, Cui Zhiming, Gao Chenqiang*, Gao Xinbo, Lian Chunfeng, Shen Dinggang*. TSGCNet: Discriminative Geometric Feature Learning with Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation[C]. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition(CVPR,國際計算機視覺頂會), 2021: 6699-6708. (共同1作)
[5] Zhao Yue*, Li Pengcheng, Gao Chenqiang, Liu Yang, Chen Qiaoyi, Yang Feng, Meng Deyu. TSASNet: Tooth segmentation on dental panoramic X-ray images by Two-Stage Attention Segmentation Network [J]. Knowledge-Based Systems(KBS,一區TOP期刊,IF:8.139), 2020, 206: 106338. (第1作者,通信作者)
[6] Zhao Yue, Zhang Lingming, Yang Chongshi, Tan Yingyun, Liu Yang*, Li Pengcheng, Huang Tianhao, Gao Chenqiang. 3D Dental model segmentation with graph attentional convolution network[J]. Pattern Recognition Letters(PRL, 三區,IF:4.757), 2021, 152: 79-85. (第1作者)
[7] Chen Qiaoyi, Zhao Yue*, Liu Yang, Sun Yongqing, Yang Chongshi, Li Pengcheng, Zhang Liming, Gao Chenqiang. MSLPNet: Multi-Scale Location Perception Network for Dental Panoramic X-ray Image Segmentation[J]. Neural Computing and Applications(NCAA, 二區,IF:5.606), 2021: 1-15. (DOI: 10.1007/s00521-021-05790-5),(通信作者)
[8] Zhao Yue, Guo Shuxu, Luo Min, Liu Yu, Michel Bilello, Li Chunming*. An energy minimization method for MS lesion segmentation from T1-w and FLAIR images[J]. Magnetic Resonance Imaging. 2017, 39: 1-6. (第1作者)
[9] Zhao Yue, Guo Shuxu, Luo Min, Shi Xue, Michel Bilello, Zhang ShaoXiang*, Li Chunming*. A level set method for multiple sclerosis lesion segmentation[J]. Magnetic Resonance Imaging. 2018, 49: 94-100. (第1作者)
[10] Liu Fangcen, Gao Chenqiang*, Sun Yonwgqing, Zhao Yue, Yang Feng, Qin Anyong, Meng Deyu. Infrared and Visible Cross-Modal Image Retrieval through Shared Features[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2021.
[11] Wang Lan, Gao Chenqiang*, Yang Luyu, Zhao Yue, Zuo Wangmeng, Meng Deyu. Pm-gans: Discriminative representation learning for action recognition using partial-modalities[C]. Proceedings of the European Conference on Computer Vision (ECCV), 2018: 384-401.
[12] Wang Lan, Gao Chenqiang*, Zhao Yue, Song Tiecheng, Feng Qi. Infrared and Visible Image Registration Using Transformer Adversarial Network[C]. 2018 25th IEEE International Conference on Image Processing (ICIP), 2018: 1248-1252.
[13] Qian Xiaohua, Lin Yuan, Zhao Yue Wang Jing, Liu Yan, Zhuang Xiahai*. Segmentation of myocardium from cardiac MR images using a novel dynamic programming-based segmentation method[J]. Medical Physics, 2015, 42(3): 1424-1435.
[14] Qian Xiaohua, Lin Yuan, Zhao Yue, el. Objective ventricle segmentation in brain CT with ischemic stroke based on anatomical knowledge[J]. BioMed Research International, 2017, 2017: 1-11.

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