个人简介
11-至今 南京信息工程大学信息与控制学院(Link) 教授
2014,2018 美国凯斯西储大学生物医学工程系(Link) 访问教授
2008-2011 美国Rutgers大学生物医学工程系(Link) 博士后,助理研究员
2004-2007 浙江大学控制科学与工程系(Link) 博士研究生
2001-2004 电子科技大学应用数学学院(Link) 硕士研究生
研究领域
计算病理与精准医学
计算病理(我的MICS在线报告视频链接)，数字病理(Link)
面向癌症(万疾之王：灵丹妙药；盲人摸象；功瑕蹈隙)计算机辅助诊断与预后的病理图像分析
计算机视觉(Related Link)、机器学习(Related Link，我学生郎彬的CSDN博客)
乳腺(Link)、前列腺(Link)、肺（Link）、头颈部(Link)癌症的计算机辅助检测、诊断及预后(Related Link)
深度学习及大数据驱动的医学数据分析(Related Link)
高分辨率、超光谱医学图像及遥感图像分析(Related Link)
近期论文
查看导师最新文章
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Jun Xu, Chengfei Cai, Yangshu Zhou, Bo Yao, Xiangxue Wang, Zhihong Zhang, Ke Zhao, Anant Madabhushi, Zaiyi Liu, Li Liang, "Multi-tissue Partitioning for Whole Slide Images of Colorectal Cancer Histopathology Images with Deeptissue Net", 15th European Congress on Digital Pathology, April 11-13th, 2019 (Oral Presentation) (Link)
Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu, "Histopathological Image Analysis on Mouse Testes for Automated Staging of Mouse Seminiferous Tubule", 15th European Congress on Digital Pathology, April 11-13th, 2019. (Link)
Jun Xu, Lei Gong*, Guanhao Wang*, Cheng Lu, Hannah Gilmore, Shaoting Zhang, and Anant Madabhushi，“A Convolutional Neural Network initialized Active Contour Model with Adaptive Ellipse Fitting (CoNNACaeF) for Nuclear Segmentation on Breast Histopathological Images”, Journal of Medical Imaging, 6(1), 017501 (2019). https://doi.org/10.1117/1.JMI.6.1.017501(Link)
Jun Xu, Andrew Janowczyk, Laura M. Barisoni,, Chengfei Cai*, Jeffrey Nirschl, Matthew Palmer, Michael D. Feldman, D Chen, John O’Toole, Z Zaky, Emilio Poggio, John R. Sedor, and Anant Madabhushi, "Predicting APOL1 risk category from kidney donor biopsies using deep learning", American Society of Nephrology (ASN) Kidney Week 2018 (Oral Presentation)(Link)
Lewis, JS, Zhang, Z*, Xu, J, Lu, C, Bishop, J, Madabhushi, A, “Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma”, United States and Canadian Academy of Pathology's 108th Annual Meeting, National Harbor, MD, March 16th-21st, 2019.(Link)
孙明建*，徐军，马伟*，张玉东，“基于新型深度全卷积网络的肝脏CT影像三维区域自动分割”，中国生物医学工程学报，vol. 37，issue (4): 385-393， 2018. (Link to the paper)
马伟*，刘鸿利，孙明建*，徐军，蒋燕妮，新型乳腺磁共振增强图像肿瘤区域的自动分割模型, 中国生物医学工程学报, 2018(录用)
蔡程飞*，徐军，梁莉，魏建华，“基于深度卷积网络的结直肠全扫描病理图像多种组织分割”，2017年中国生物医学工程大会, 医学影像大数据分析分会，2017年04月20日-22日，北京。（口头报告,获2017中国生物医学工程大会“青年论文竞赛二等奖”）(Link)
Jun Xu, James P. Monaco, Rachel Sparks, Anant Madabhushi, “Connecting Markov Random Fields and Active Contour Models: Application to Gland Segmentation and Classification”, Journal of Medical Imaging, 4(2), 021107, 2017 (Link to the paper)
Jun Xu, Chao Zhou*, Bing Lang*, and Qingshan Liu, “Deep Learning for Histopathological Image Analysis: Towards Computerized Diagnosis on Cancers”，Book Chapter: Deep Learning and Convolutional Neural Networks for Medical Imaging Computing, Editors: Le Lv, Yefeng Zheng, Gustavo Carneiro, Lin Yang, Springer, 2017. (Link to the book) (Cover) (In Press)
Jiamei Chen, Yan Li, Jun Xu, Lei Gong*, Linwei Wang, Wenlou Liu, Jingping Yuan, Qingming Xiang, Qunhua Zheng, Juan Liu, “Computer-aided Prognosis on Breast Cancer with Hematoxylin & Eosin Histopathology Images: A Review”, Tumor Biology, March 2017: 1–12，2017 (Link to the paper).
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