郭艷蓉，女，博士，合肥工業大學副研究員。
基本介紹
- 中文名：郭艷蓉
- 學位/學歷：博士
- 職業：教師
- 專業方向：時空超圖學習
- 任職院校：合肥工業大學
個人經歷,主講課程,研究方向,學術成果,
個人經歷
2013年6月於合肥工業大學獲得博士學位，2013年8月至2016年9月在美國北卡大學教堂山分校圖像顯示增強與分析實驗室(IDEA LAB)從事博士後研究，2016年11月起於合肥工業大學計算機與信息學院從事教學與科研工作。
主講課程
“信號與系統” （電子信息工程專業）
研究方向
1、時空超圖學習：研究多源背景下複雜圖像的時空統一表示與學習模型，並套用於嬰幼兒腦部早期發育過程分析之中。
2、基於卷積神經網路的深度圖像預測和語義分割
學術成果
Yanrong Guo, Tao Chen. Semantic segmentation of RGBD images based on deep depth regression.Pattern Recognition Letters 109: 55-64, 2018
Zhengwang Wu, Yanrong Guo, Sang Hyun Park, Yaozong Gao, Pei Dong, Seong-Whan Lee, Dinggang Shen. Robust brain ROI segmentation by deformation regression and deformable shape model.Medical Image Analysis 43: 198-213, 2018
Shijie Hao, Yanrong Guo, Zhongliang Wei. Lightness-aware Contrast Enhancement for Images with Different Illumination Conditions. Multimedia Tools and Applications, 2018
Xiaohuan Cao, Jianhua Yang, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen.Dual-core steered non-rigid registration for multi-modal images via bi-directional image synthesis. Medical Image Analysis, 41: 18-31, 2017
Yanrong Guo, Yaozong Gao, Dinggang Shen. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching. IEEE Transactions on Medical Imaging, 35(4): 1077-1089,2016
Yanrong Guo, Yaozong Gao, Yeqin Shao, True Price, Aytekin Oto, Dinggang Shen. Deformable Segmentation of 3-D MR Prostate Images via Distributed Discriminative Dictionary and Ensemble Learning. Medical Physics, vol. 41, no.7, pp.072303, 2014
Yanrong Guo, Guorong Wu, Jianguo Jiang, Dinggang Shen. Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. IEEE Transactions on Medical Imaging, vol.32, no.2, pp.268-277, 2013
Shunbo Hu, Lifang Wei, Yaozong Gao, Yanrong Guo, Guorong Wu, Dinggang Shen. Learning‐based Deformable Image Registration for Infant MR Images in the First Year of Life. Medical Physics. 44(1):158-170, 2017
Shijie Hao, Daru Pan, Yanrong Guo, Richang Hong, Meng Wang: Image detail enhancement with spatially guided filters. Signal Processing 120: 789-796 (2016)
Shijie Hao, Yanrong Guo, Richang Hong, Meng Wang: Scale-Aware Spatially Guided Mapping. IEEE Multimedia 23(3): 34-42 (2016)
Shaoyi Du, Yanrong Guo, Gerard Sanroma, Dong Ni, Guorong Wu, Dinggang Shen: Building dynamic population graph for accurate correspondence detection. Medical Image Analysis 26(1): 256-267 (2015)
Gerard Sanroma, Guorong Wu, Yaozong Gao, Kim-Han Thung, Yanrong Guo, Dinggang Shen:A transversal approach for patch-based label fusion via matrix completion. Medical Image Analysis 24(1): 135-148 (2015)
Yeqin Shao, Yaozong Gao, Yanrong Guo, Yonghong Shi, Xin Yang, Dinggang Shen:Hierarchical Lung Field Segmentation With Joint Shape and Appearance Sparse Learning. IEEE Trans. Med. Imaging 33(9): 1761-1780 (2014)
Shijie Hao, Jianguo Jiang, Yanrong Guo, Hong Li:Active learning based intervertebral disk classification combining shape and texture similarities. Neurocomputing 101: 252-257 (2013)
Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan: ε-Isometry based shape approximation for image content representation. Signal Processing 93(8): 2293-2304 (2013)
郭艷蓉, 蔣建國, 郝世傑，詹曙. 基於統計相似度的醫學圖像分割. 中國圖象圖形學報, 18(2):225-234, 2013
郭艷蓉, 蔣建國, 郝世傑, 詹曙, 李鴻. 基於LBP特徵的隨機遊走圖像分割. 電路與系統學報. 18(1): 149-156, 2013.
蔣建國, 郭艷蓉, 郝世傑, 詹曙, 李鴻. 貝葉斯框架下的非參數估計Graph Cuts分割算法.中國圖象圖形學報, 16(6):947-952, 2011
蔣建國, 周丹鳳, 郝世傑, 郭艷蓉, 詹曙. 聯合骨架與邊界特徵的平面形狀分解. 中國圖象圖形學報,17(11):1425-1430, 2012
郝世傑, 蔣建國, 郭艷蓉, 詹曙. 彈性二次曲面模型下的三維形狀表現與平滑. 中國圖象圖形學報, 17(8): 1201-1208, 2012
郝世傑, 蔣建國, 郭艷蓉, 詹曙, 李鴻. 結合形狀與紋理特徵的椎間盤退化輔助診斷. 中國圖象圖形學報, 17(9): 1168-1174, 2012
Conferences
Yanrong Guo, Pei Dong, Guorong Wu, Weili Lin, Dinggang Shen. Longitudinal Hypergraph Learning: A Consistent Segmentation Method for Measuring the Growth Trajectory of Infant Hippocampus from Brain MR Images. In Proceedings of the 25th Annual Meeting for International Society for Magnetic Resonance in Medicine, 2017
Yanrong Guo, Pei Dong, Shijie Hao, Li Wang, Guorong Wu, Dinggang Shen: Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning. Patch-MI@MICCAI 2016: 1-8
Yanrong Guo, Guorong Wu, Pew Thian Yap, Valerie Jewells, Weili Lin, Dinggang Shen: Segmentation of Infant Hippocampus using Common Feature Representations Learned for Multimodal Longitudinal Data. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp.63-71, 2015
Yanrong Guo, Guorong Wu, Leah A. Commander, Stephanie Szary, Valerie Jewells, Weili Lin, Dinggang Shen: Segmenting Hippocampus from Infant Brains by Sparse Patch Matching with Deep-Learned Features. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), vol.2, pp.308-315, 2014
Yanrong Guo, Yiqiang Zhan, Yaozong Gao, Jianguo Jiang, Dinggang Shen. MR Prostate Segmentation via Distributed Ddiscriminative Dictionary (DDD) Learning. International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp.856-859, 2013
Yanrong Guo, Guorong Wu, Yakang Dai, Jianguo Jiang, Dinggang Shen. Robust Anatomical Correspondence Detection by Hierarchical Sparse Graph Matching. MICCAI Workshop on Medical Computer Vision, pp. 89-97, 2012
Yanrong Guo, Jianguo Jiang, Shijie Hao, Shu Zhan. Distribution-based Active Contour Model for Medical Image Segmentation. International Conference on Image and Graphics, pp.61-65, 2011
Pei Dong*, Yanrong Guo*, Dinggang Shen, Guorong Wu.Multi-atlas and Multi-modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph. Patch-MI@MICCAI 2015: 188-196
Pei Dong, Yanrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu. Segment Deep Gray Matter Nucleus from MR Images: An Automatic Computational Tool for Early Diagnosis of Parkinson's Disease. In Proceedings of the 25th Annual Meeting for International Society for Magnetic Resonance in Medicine, 2017
Pei Dong, Yangrong Guo, Yue Gao, Peipeng Liang, Yonghong Shi, Qian Wang, Dinggang Shen, Guorong Wu.Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning. Patch-MI@MICCAI 2016: 51-59
Li Wang, Yanrong Guo, Xiaohuan Cao, Guorong Wu, Dinggang Shen:Consistent Multi-Atlas Hippocampus Segmentation for Longitudinal MR Brain Images with Temporal Sparse Representation. Patch-MI@MICCAI 2016: 34-42
Zhengwang Wu, Sang Hyun Park, Yanrong Guo, Yaozong Gao, Dinggang Shen:Regression Guided Deformable Models for Segmentation of Multiple Brain ROIs. MLMI@MICCAI 2016: 237-245
Minjeong Kim, Guorong Wu, Yanrong Guo, Dinggang Shen. Joint labeling of multiple regions of interest (ROIS) by enhanced auto context models. ISBI 2015: 1560-1563
Yeqin Shao, Yanrong Guo, Yaozong Gao, Xin Yang, Dinggang Shen: Hippocampus Segmentation from MR Infant Brain Images via Boundary Regression. MCV@MICCAI 2015: 146-154
Gerard Sanroma, Guorong Wu, Kim-Han Thung, Yanrong Guo, Dinggang Shen. Novel Multi-Atlas Segmentation by Matrix Completion. MLMI 2014: 207-214
Shijie Hao, Jianguo Jiang, Yanrong Guo, Shu Zhan. Intervertebral Disc Shape Analysis with Geodesic Metric in Shape Space. In Proceedings of 6th International Conference on Image and Graphics. Hefei, China, 2011
Book Chapters：
Yanrong Guo, Yaozong Gao, Dinggang Shen. Deformable MR Prostate Segmentation via Deep Feature Learning and Sparse Patch Matching pp.197–222, 2017, Academic Press.
Yaozong Gao, Yanrong Guo, Yinghuan Shi, Shu Liao, Jun Lian, Dinggang Shen. Image-Guided Radiotherapy with Machine Learning. Machine Learning in Radiation Oncology, pp.157-192, 2015, Springer Press.
