紀則軒，男，博士，南京理工大學計算機科學與技術學院教師。
基本介紹
- 中文名：紀則軒
- 畢業院校：南京理工大學
- 學位/學歷：博士
- 職業：教師
- 專業方向：模式識別，計算機視覺
- 任職院校：南京理工大學計算機科學與技術學院
人物經歷,主講課程,研究方向,學術成果,榮譽獎項,社會兼職,
人物經歷
教育經歷
1. 2007年－2012年，南京理工大學，計算機科學與工程學院，博士，導師：孫權森
2. 2003年－2007年，南京理工大學，計算機科學與工程學院，學士
工作經歷
2010.10-2011.10,悉尼大學,醫學影像分析,聯合培養博士生
2009.10-2010.5,中科院深圳先進技術研究院,醫學影像分析,客座學生
現任南京理工大學計算機科學與技術學院教師
主講課程
1、數位訊號處理研究,研究生
2、計算機仿真,本專科生
3、OFFICE高級套用,本專科生
4、Matlab編程,本專科生
5、C語言程式設計,本專科生
6、Visual C++課程設計,本專科生
7、Visual C++程式設計,本專科生
8、C語言課程設計,本專科生
9、Pattern Recognition Technology,研究生
研究方向
模式識別，計算機視覺，圖像處理，醫學影像學
學術成果
發表論文
[1] Zexuan Ji, Qiang Chen, Menglin Wu, Sijie Niu, Wen Fan, Songtao Yuan, Quansen Sun. Beyond Retinal Layers: A Large Blob Detection for Subretinal Fluid Segmentation in SD-OCT Images. MICCAI 2018. 錄用帶發表.
[2] Zexuan Ji, Qiang Chen, Sijie Niu, Theodore Leng, Daniel L. Rubin. Beyond Retinal Layers: A Deep Voting Model for Automated Geographic Atrophy Segmentation in SD-OCT Images. Translational Vision Science and Technology. 2018 Jan; 7(1): 1. (SCI, JCR3, IF: 2.221)
[3] Tao Wang, Quansen Sun, Qi Ge, Zexuan Ji*, Qiang Chen, Guiyu Xia. Interactive Image Segmentation via Pairwise Likelihood Learning. Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, IJCAI 2017, pp. 2957-2963. (CCF A類會議)
[4] Zexuan Ji, Yubo Huang, Yong Xia, Yuhui Zheng. A robust modified Gaussian mixture model with rough set for image segmentation. Neurocomputing. 2017, 266, 550-565 (SCI, JCR2, IF: 3.317).
[5] Zexuan Ji, Yong Xia, Yuhui Zheng. Robust generative asymmetric GMM for brain MR image segmentation. Computer Methods and Programs in Biomedicine, 2017, 151, 123-138 (SCI, JCR2, IF: 2.503)
[6] Zexuan Ji, Yubo Huang, Quansen Sun, Guo Cao, Yuhui Zheng. A Rough Set Bounded Spatially Constrained Asymmetric Gaussian Mixture Model for Image Segmentation. PLoS ONE, 2017, 12(1): e0168449 (SCI, JCR3, IF: 2.806)
[7] Yantao Song, Zexuan Ji*, Quansen Sun, Yuhui Zheng. A Novel Brain Tumor Segmentation from Multi-Modality MRI via A Level-Set-Based Model. Journal of Signal Processing Systems. 2017, 87(2), 249-257. (SCI, JCR4, IF: 0.893)
[8] Zexuan Ji, Yubo Huang, Quansen Sun, Guo Cao. A spatially constrained generative asymmetric Gaussian mixture model for image segmentation. Journal of Visual Communication and Image Representation. 2016, 40, 611-626 (SCI, JCR3, IF: 2.164)
[9] Tao Wang, Zexuan Ji*, Quansen Sun, Qiang Chen, Xiaoyuan Jing. Interactive multi-label image segmentation via robust multi-layer graph constraints. IEEE Transactions on Multimedia, 2016, 18(12), 2358-2371. (SCI, JCR1 Top期刊, IF: 3.509)
[10] Tao Wang, Quansen Sun, Zexuan Ji*, Qiang Chen, Peng Fu. Multi-layer graph constraints for interactive image segmentation via game theory. Pattern Recognition, 2016, 55(C):28-44. (SCI, JCR2, IF: 4.582)
[11] Yong Xia, Zexuan Ji*, Yanning Zhang. Brain MRI image segmentation based on learning local variational Gaussian mixture models. Neurocomputing. 2016, 204: 189-197 (SCI, JCR2, IF: 3.317)
[12] Zexuan Ji, Yong Xia, Quansen Sun, Guo Cao, Qiang Chen. Active Contours Driven by Local Likelihood Image Fitting Energy for Image Segmentation. Information Sciences. 2015, 301: 285-304 (SCI, JCR1 Top期刊, IF: 4.832) [Google Scholar引用25次，Web of Science引用21次]
[13] Zexuan Ji, Yong Xia, Quansen Sun, Guo Cao. Interval-valued Possibilistic Fuzzy C-Means Clustering Algorithm. Fuzzy Sets and Systems. 2014. 253(16): 138-156. (SCI, JCR1 Top期刊, IF: 2.718). [Google Scholar引用42次，Web of Science引用23次]
[14] Zexuan Ji, Jinyao Liu, Guo Cao, Quansen Sun, Qiang Chen. Robust Spatially Constrained Fuzzy C-Means Algorithm for Brain MR Image Segmentation. Pattern Recognition. 2014. 47(7): 2454-2466. (SCI, JCR2, IF: 4.582) [Google Scholar引用58次，Web of Science引用37次]
[15] Zexuan Ji, Yong Xia, Quansen Sun, Qiang Chen, Dagan Feng. Adaptive Scale Fuzzy Local Gaussian Mixture Model for Brain MR Image Segmentation. Neurocomputing. 2014. 134: 60-69. (SCI, JCR2, IF: 3.317) [Google Scholar引用29次，Web of Science引用18次].
[16] Zexuan Ji, Yong Xia, Quansen Sun, Qiang Chen, Deshen Xia, David Dagan Feng. Fuzzy Local Gaussian Mixture Model for brain MR image segmentation. IEEE Transactions on Information Technology in BioMedicine. 2012, 16(3): 339-347. (SCI, JCR2, IF: 1.978) [Google Scholar引用75次，Web of Science引用46次]
[17] Zexuan Ji, Yong Xia, Quansen Sun, Qiang Chen, Deshen Xia, David Dagan Feng. Fuzzy C-Means Clustering with Weighted Image Patch for Image Segmentation. Applied Soft Computing. 2012, 12(6): 1659-1667. (SCI, JCR2, IF: 3.541) [Google Scholar引用76次，Web of Science引用42次]
[18] Zexuan Ji, Quansen Sun, Yong Xia, Qiang Chen, Deshen Xia, Dagan Feng. Generalized Rough Fuzzy C-Means Algorithm for Brain MR Image Segmentation. Computer Methods and Programs in Biomedicine. 2012, 108(2): 644-655. (SCI, JCR2, IF: 2.503) [Google Scholar引用54次，Web of Science引用26次]
[19] Zexuan Ji, Quansen Sun, Deshen Xia. A Modified Possibilistic Fuzzy c-means Clustering algorithm for Bias Field Estimation and Segmentation of Brain MR Image. Computerized Medical Imaging and Graphics. 2011, 35(5): 383-97. (SCI, JCR4, IF: 1.738). [Google Scholar引用114次，Web of Science引用50次]
[20] Zexuan Ji, Qiang Chen, Quansen Sun, Deshen Xia. A moment-based nonlocal-means algorithm for image denoising. Information Processing Letters. 2009, 109: 1238-1244. (SCI, JCR4, IF: 0.748) [Google Scholar引用91次，Web of Science引用42次]
專利
1、遙感圖像的多角度自動MTF估計方法,南京理工大學,紀則軒,孫權森,劉金堯,賈惠珍,査藝易,趙家成,王明良,發明專利,授權
2、基於深度投票模型的SD-OCT圖像GA病變分割方法,南京理工大學,紀則軒,陳強,發明專利,申請
3、基於多模態磁共振的腦腫瘤圖像分割方法,南京理工大學,紀則軒,發明專利,申請
4、基於互斥性標籤K-SVD及多尺度稀疏的高光譜圖像分類方法,南京理工大學,紀則軒,謝夢藍,孫權森,發明專利,申請
5、基於結構相似性快速魯棒的可見光與SAR圖像配準方法,南京理工大學,紀則軒,秦傑,孫權森,發明專利,申請
榮譽獎項
2013年江蘇省優秀博士論文,南京理工大學,紀則軒，孫權森,2013.5.22,省部級,一等
社會兼職
江蘇省人工智慧學會組織工作委員會副主任
IEEE會員，中國計算機學會會員
十餘個學術期刊審稿人：
IEEE Transactions on Image Processing、IEEE Transactions on Medical Imaging、IEEE Transactions on Cybernetics、IEEE Transactions on Biomedical Engineering、IEEE Transactions on Fuzzy Systems、Information Sciences等
