Abu Bakor Hayat Arnob, Xiangxue Wang, Yiping Jiao, Xiao Gan, Wenlong Ming, and Jun Xu, Pathological primative segmentation based on visual foundation model with zero-shot mask generation, the 21st IEEE International Symposium on Biomedical Imaging (ISBI 2024), Athens Greece, May 27th-30th, 2024. https://biomedicalimaging.org/2024/Lei Gao, Weilang Wang, Xiangpan Meng, Shuhang Zhang, Jun Xu, Shen...
Huang Y, Ahmad S, Han L, et al. Longitudinal Prediction of Postnatal Brain Magnetic Resonance Images via a Metamorphic Generative Adversarial Network[J]. Pattern Recognition, 2023: 109715. https://doi.org/10.1016/j.patcog.2023.109715Li J, Cairns B J, Li J, et al. Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications[J]. NPJ Digital Medici...
Jiawei Xie, Xiaohong Pu, Jian He, et al. Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images[J]. Computers in Biology and Medicine, 2022.Shi Liang, Haoda Lu, Min Zang, et al. Deep SED‐Net with interactive learning for multiple testicular cell types segmentation and cell composition analysis in mouse seminiferous tubules[J]. Cytometr...
Bian Y, Liu C, Li Q, et al. Preoperative Radiomics Approach to Evaluating Tumor‐Infiltrating CD8+ T Cells in Patients With Pancreatic Ductal Adenocarcinoma Using Noncontrast Magnetic Resonance Imaging[J]. Journal of Magnetic Resonance Imaging, 2021.Cong Liu, Yun Bian, Yinghao Meng, Fang Liu, Kai Cao, Hao Zhang, Xu Fang, Jing Li, MD, Jieyu Yu, Xiaochen Feng, Chao Ma, Jianping Lu, Jun Xu, Chengw...
Zengrui Zhao, Yun Bian, Hui Jiang, Xu Fang, Jin Li, Kai Cao, Chao Ma, Li Wang, Jianming Zheng, Xiaodong Yue, Huiran Zhang, Xiangxue Wang, Anant Madabhushi, Jun Xu, Jin Gang, and Jianping Lu, "CT-radiomic approach to predict G1/2 non-functional pancreatic neuroendocrine tumor", vol. 27, no. 12, Academic Radiology, 2020.Lu C, Bera K, Wang X, et al. A prognostic model for overall survival of patie...
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.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 ...
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*, Jun Xu, Lu, C, ...
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, 36(5): 632-636. 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-04月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...
Jun Xu, Lei Xiang*, Qingshan Liu, Hannah Gilmore, Jianzhong Wu, Jinghai Tang, and Anant Madabhushi,"Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology images", IEEE Trans. on Medical Imaging, vol. 35, issue 1, pp. 119-130, 2016.（650+次引用, ISI高被引论文)（Link）Jun Xu, Xiaofei Luo*, Guanhao Wang*, Hannah Gilmore, Anant Madabhushi, “A Deep Convolutional Neu...
Jun Xu, Lei Xiang*, Guanhao Wang*, Shridar Ganesan, Michael Feldman, Natalie NC Shih, Hannah Gilmore, and Anant Madabhushi, “Sparse Non-negative Matrix Factorization (SNMF) based Color Unmixing for Breast Histopathological Image Analysis”, Computerized Medical Imaging and Graphics, vol. 46, pp.20-29, 2015.（Link）Angel Cruz-Roa, Jun Xu, Anant Madabhushi, “A note on the stability and discrimi...
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