1. Jun Xu, Haoda Lu, Haixin Li, Xiangxue Wang, Anant Madabhushi, Yujun Xu, Histopathological image analysis on mouse testes, 15th European Congress on Digital Pathology, April 11-13th, 2019. [link to paper]
2. 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 to paper]
3. 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). [link to paper]
4. Xiangxue Wang, Shizen Moh, Antony Hubbard, José L. Muñoz-Rodríguez, Mehrnoush Khojasteh, Jim Martin, Qingfeng Zhu, Robert Anders, Luis Diaz, Lidija Pestic-Dragovich, Lei Tang, Wenjun Zhang, Case classification with tumor antigen presenting and TGF-β signaling biomarkers to predict anti-PD-1 outcome in GI tract tumors using automated quantitative fluorescence multiplex IHC, 2019. [link to paper]
5. Lewis J, Zhang Z, Xu J, et al. Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma, LABORATORY INVESTIGATION. 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA: NATURE PUBLISHING GROUP, 2019, 99.
6. Wang X, Barrera C, Lu C, et al. Computerized nuclear morphometric features from H&E slide images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer, LABORATORY INVESTIGATION. 75 VARICK ST, 9TH FLR, NEW YORK, NY 10013-1917 USA: NATURE PUBLISHING GROUP, 2019, 99.
7. 谢嘉伟,陈骏,徐军,樊祥山,基于肝内胆管癌全景病理切片定量分析的生存预测,中华医学会病理学分会第二十五次学术会议暨第九届中国病理年会,2019.（获优秀论文奖）
8. 李宝明, 胡佳瑞, 徐海俊, 吴海玲, 朱涵, 顾家瑞, 王聪, 蒋燕妮, 张智弘, 徐军, 基于深度级联网络的乳腺淋巴结全景图像癌转移区域的自动识别,2019中国生物医学工程大会（获青年优秀论文竞赛三等奖）. [link to paper]
9. 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,vol.38,issue (1):28-34,2019. [link to paper]
