合肥工业大学计算机与信息学院导师教师师资介绍简介-△郭艳蓉本站小编 Free考研考试/2021-04-24

个人信息

姓 名

郭艳蓉

性 别

女

出生年月

最终学位

博士

毕业学校

合肥工业大学

从事专业

图像分析处理

职务

所属院系

计算机与信息学院

所在部门

多媒体计算研究所

职称

副研究员

联系方式

办公电话

E-mail

yrguo@hfut.edu.cn

通讯地址

安徽省合肥市丹霞西路485号合肥工业大学计算机与信息学院

邮编

230601

简历

郭艳蓉，安徽省合肥市人。2013年6月于合肥工业大学获得博士学位，2013年8月至2016年9月在美国北卡大学教堂山分校图像显示增强与分析实验室(IDEALAB)从事博士后研究，2016年11月起于合肥工业大学计算机与信息学院从事教学与科研工作。主要研究方向为计算机视觉、医学图像分析、多媒体信息处理等，在IEEETransactions on Medical Imaging、MedicalImage Analysis、MedicalPhysics、MICCAI、ISBI等期刊与会议发表论文三十余篇。目前主持国家自然科学基金面上项目一项、青年项目一项，安徽省自然科学基金青年项目一项，参与国家重点研发计划两项，指导硕士研究生6名。在本科教学方面承担信号与系统专业基础课的教学任务。

研究方向

1、时空超图学习：研究多源背景下复杂图像的时空统一表示与学习模型，并应用于婴幼儿脑部早期发育过程分析之中。

2、基于卷积神经网络的深度图像预测和语义分割

教学工作

“信号与系统”(电子信息工程专业)

办公地点：合肥市丹霞路485号合肥工业大学翡翠湖校区科教楼A904

获奖情况

主要论著

Journals：

● YanrongGuo, Tao Chen. Semantic segmentation of RGBD images based on deepdepth regression.Pattern Recognition Letters 109: 55-64, 2018

● ZhengwangWu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-WhanLee, Dinggang Shen. Robust brain ROI segmentation by deformationregression and deformable shape model.Medical Image Analysis 43:198-213, 2018

● ShijieHao, Yanrong Guo, Zhongliang Wei. Lightness-aware ContrastEnhancement for Images with Different Illumination Conditions.Multimedia Tools and Applications, 2018

● XiaohuanCao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, DinggangShen.Dual-core steered non-rigid registration for multi-modalimages via bi-directional image synthesis. Medical Image Analysis,41: 18-31, 2017

● YanrongGuo, Yaozong Gao, Dinggang Shen. Deformable MR ProstateSegmentation via Deep Feature Learning and Sparse Patch Matching.IEEE Transactions on Medical Imaging, 35(4): 1077-1089,2016

● YanrongGuo, Yaozong Gao, Yeqin Shao, True Price, Aytekin Oto, DinggangShen. Deformable Segmentation of 3-D MR Prostate Images viaDistributed Discriminative Dictionary and Ensemble Learning.Medical Physics, vol. 41, no.7, pp.072303, 2014

● YanrongGuo, Guorong Wu, Jianguo Jiang, Dinggang Shen. Robust AnatomicalCorrespondence Detection by Hierarchical Sparse Graph Matching.IEEE Transactions on Medical Imaging, vol.32, no.2, pp.268-277,2013

● ShunboHu, Lifang Wei, Yaozong Gao, Yanrong Guo, Guorong Wu, DinggangShen. Learning‐based Deformable Image Registration for Infant MRImages in the First Year of Life. Medical Physics. 44(1):158-170,2017

● ShijieHao, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang: Image detailenhancement with spatially guided filters. Signal Processing 120:789-796 (2016)

● ShijieHao, Yanrong Guo, Richang Hong, Meng Wang: Scale-Aware SpatiallyGuided Mapping. IEEE Multimedia 23(3): 34-42 (2016)

● ShaoyiDu, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, DinggangShen: Building dynamic population graph for accuratecorrespondence detection. Medical Image Analysis 26(1): 256-267(2015)

● GerardSanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo,Dinggang Shen:A transversal approach for patch-based label fusionvia matrix completion. Medical Image Analysis 24(1): 135-148(2015)

● YeqinShao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, DinggangShen:Hierarchical Lung Field Segmentation With Joint Shape andAppearance Sparse Learning. IEEE Trans. Med. Imaging 33(9):1761-1780 (2014)

● ShijieHao, Jianguo Jiang, Yanrong Guo, Hong Li:Active learning basedintervertebral disk classification combining shape and texturesimilarities. Neurocomputing 101: 252-257 (2013)

● ShijieHao, Jianguo Jiang, Yanrong Guo, Shu Zhan: ε-Isometry based shapeapproximation for image content representation. Signal Processing93(8): 2293-2304 (2013)

● 郭艳蓉,蒋建国,郝世杰，詹曙.基于统计相似度的医学图像分割.中国图象图形学报,18(2):225-234, 2013

● 郭艳蓉,蒋建国,郝世杰,詹曙,李鸿.基于LBP特征的随机游走图像分割.电路与系统学报.18(1): 149-156, 2013.

● 蒋建国,郭艳蓉,郝世杰,詹曙,李鸿.贝叶斯框架下的非参数估计GraphCuts分割算法.中国图象图形学报,16(6):947-952, 2011

● 蒋建国,周丹凤,郝世杰,郭艳蓉,詹曙.联合骨架与边界特征的平面形状分解.中国图象图形学报,17(11):1425-1430,2012

● 郝世杰,蒋建国,郭艳蓉,詹曙.弹性二次曲面模型下的三维形状表现与平滑.中国图象图形学报,17(8): 1201-1208, 2012

● 郝世杰,蒋建国,郭艳蓉,詹曙,李鸿.结合形状与纹理特征的椎间盘退化辅助诊断.中国图象图形学报,17(9): 1168-1174, 2012

Conferences

● YanrongGuo, Pei Dong, Guorong Wu, Weili Lin, Dinggang Shen. LongitudinalHypergraph Learning: A Consistent Segmentation Method forMeasuring the Growth Trajectory of Infant Hippocampus from BrainMR Images. In Proceedings of the 25th Annual Meeting forInternational Society for Magnetic Resonance in Medicine, 2017

● YanrongGuo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen:Automatic Segmentation of Hippocampus for Longitudinal InfantBrain MR Image Sequence by Spatial-Temporal Hypergraph Learning.Patch-MI@MICCAI 2016: 1-8

● YanrongGuo, Guorong Wu, Pew Thian Yap, Valerie Jewells, Weili Lin,Dinggang Shen: Segmentation of Infant Hippocampus using CommonFeature Representations Learned for Multimodal Longitudinal Data.International Conference on Medical Image Computing andComputer-Assisted Intervention (MICCAI), pp.63-71, 2015

● YanrongGuo, Guorong Wu, Leah A. Commander, Stephanie Szary, ValerieJewells, Weili Lin, Dinggang Shen: Segmenting Hippocampus fromInfant Brains by Sparse Patch Matching with Deep-Learned Features.International Conference on Medical Image Computing andComputer-Assisted Intervention (MICCAI), vol.2, pp.308-315, 2014

● YanrongGuo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen. MRProstate Segmentation via Distributed Ddiscriminative Dictionary(DDD) Learning. International Symposium on Biomedical Imaging:From Nano to Macro (ISBI), pp.856-859, 2013

● YanrongGuo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen. RobustAnatomical Correspondence Detection by Hierarchical Sparse GraphMatching. MICCAI Workshop on Medical Computer Vision, pp. 89-97,2012

● YanrongGuo, Jianguo Jiang, Shijie Hao, Shu Zhan. Distribution-basedActive Contour Model for Medical Image Segmentation. InternationalConference on Image and Graphics, pp.61-65, 2011

● PeiDong*, Yanrong Guo*, Dinggang Shen, Guorong Wu.Multi-atlas andMulti-modal Hippocampus Segmentation for Infant MR Brain Images byPropagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015:188-196

● PeiDong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, QianWang, Dinggang Shen, Guorong Wu. Segment Deep Gray Matter Nucleusfrom MR Images: An Automatic Computational Tool for EarlyDiagnosis of Parkinson's Disease. In Proceedings of the 25thAnnual Meeting for International Society for Magnetic Resonance inMedicine, 2017

● PeiDong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, QianWang, Dinggang Shen, Guorong Wu.Multi-Atlas Based Segmentation ofBrainstem Nuclei from MR Images by Deep Hyper-Graph Learning.Patch-MI@MICCAI 2016: 51-59

● LiWang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, DinggangShen:Consistent Multi-Atlas Hippocampus Segmentation forLongitudinal MR Brain Images with Temporal Sparse Representation.Patch-MI@MICCAI 2016: 34-42

● ZhengwangWu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, DinggangShen:Regression Guided Deformable Models for Segmentation ofMultiple Brain ROIs. MLMI@MICCAI 2016: 237-245

● MinjeongKim, Guorong Wu, Yanrong Guo, Dinggang Shen. Joint labeling ofmultiple regions of interest (ROIS) by enhanced auto contextmodels. ISBI 2015: 1560-1563

● YeqinShao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen:Hippocampus Segmentation from MR Infant Brain Images via BoundaryRegression. MCV@MICCAI 2015: 146-154

● GerardSanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen.Novel Multi-Atlas Segmentation by Matrix Completion. MLMI 2014:207-214

● ShijieHao, Jianguo Jiang, Yanrong Guo, Shu Zhan. Intervertebral DiscShape Analysis with Geodesic Metric in Shape Space. In Proceedingsof 6th International Conference on Image and Graphics. Hefei,China, 2011

BookChapters：

● YanrongGuo, Yaozong Gao, Dinggang Shen. Deformable MR ProstateSegmentation via Deep Feature Learning and Sparse Patch Matchingpp.197–222, 2017, Academic Press.

● YaozongGao, Yanrong Guo, Yinghuan Shi, Shu Liao, Jun Lian, Dinggang Shen.Image-Guided Radiotherapy with Machine Learning. Machine Learningin Radiation Oncology, pp.157-192, 2015, Springer Press.