1. 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).  

2. Lewis, JS, Zhang, Z, Jun Xu, 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.  

3. Xiangping Xu, Jun Li, MengChu Zhou, Jun Xu, and Jinde Cao, Accelerated Two-Stage Particle Swarm Optimization for Clustering Not-Well-Separated Data, IEEE Trans on Systems, Man, and Cybernetics:Systems, vol.50, no.11, pp.4212-4223, 2018. [link to paper]

4. Steve CN Hui, Teng Zhang, Lin Shi, Defeng Wang, Chei-Bing Ip, and Winnie CW Chu,  Automated Segmentation of Abdominal Subcutaneous Adipose Tissue and Visceral Adipose Tissue in Obese Adolescent in MRI. Magnetic Resonance Imaging, 45: 97-104 (2018). [link to paper] 

5. 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 paper]