1. Shannon C. Agner, Jun Xu, and Anant Madabhushi, Spectral Embedding based Active Contour (SEAC) for Lesion Segmentation on Breast Dynamic Contrast Enhanced Magnetic Resonance Imaging, Medical Physics, vol. 40, 032305, 2013.(2013年第3期封面论文) [link to paper]
2. Jun Xu, Andrew Janowczyk, Sharat Chandran, and Anant Madabhushi, A High-throughput Active Contour Scheme for Segmentation of Histopathological Imagery, Medical Image Analysis, 5(6):851-862, 2011. [link to paper]
3. Shannon C. Agner, Jun Xu, Mark Rosen, Sarah Englander and Anant Madabhushi, Spectral embedding based active contour (SEAC): application to breast lesion segmentation on DCE-MRI, 2011 SPIE Symposium on Medical Imaging, February 12-17, Florida, USA, 2011. [link to paper]
4. Ajay Basavanhallya, Elaine Yu, Jun Xu, Shridar Ganesan, Michael Feldman, John Tomaszewski, Anant Madabhushi, Incorporating Domain Knowledge for Tubule Detection in Breast Histopathology Using O'allaghan Neighborhoods, 2011 SPIE Symposium on Medical Imaging, February 12-17, Florida, USA, 2011. [link to paper]
5. Hussain Fatakdawala, Jun Xu, Ajay Basavanhally, Anant Madabhushi, Gyan Bhanot, Shridar Ganesan, Michael Feldman and John Tomaszewski, Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology, IEEE Trans. on Biomedical Engineering, vol. 57, pp.1676-1689, 2010. [link to paper]
6. Jun Xu, James Monaco and Anant Madabhushi, Markov Random Field driven Region-based Active Contour Model (MaRACel): Application to Medical Image Segmentation, MICCAI2010:the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, LNCS 6363(Pt 3), pp 197-204, 2010. [link to paper]
7. Jun Xu, Andrew Janowcyzk, Sharat Chandran, Anant Madabhushi, A Weighted Mean Shift, Normalized Cuts Initialized Color Gradient Based Geodesic Active Contour Model: Applications to Histopathology Image Segmentation, SPIE Symposium on Medical Imaging, vol.7623, San Diego, USA, 2010. [link to paper]
8. Jun Xu, Rachel Sparks, Andrew Janowcyzk, John E. Tomaszewski, Michael D. Feldman, and Anant Madabhushi, High-throughput Prostate Cancer Gland Detection, Segmentation, and Classification from Needle Core Biopsies, Workshop on Prostate Cancer Imaging: the 13th International Conference on Medical Image Computing and Computer Assisted Intervention, Beijing, China, LNCS 6367, pp. 77-88, 2010. [link to paper]
9. Jinshan Tang, Rangaraj M. Rangayyan, Jun Xu, Issam El Naqa, and Yongyi Yang, Computer-Aided Detection and Diagnosis of Breast Cancer with Mammography: Recent Advances, IEEE Trans. on Information Technology in Biomedicine, vol. 13, no. 2, pp.236-251, 2009.（690+次引用, ISI高被引论文) [link to paper]
10. Shannon C. Agner, Jun Xu, Anant Madabhushi, Sarah Englander and Mark Rosen, Quantitative DCE-MRI Signatures of Triple Negative Breast Cancer: A Computer-Aided Diagnosis Framework, pp.1227-1230，2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, June 28-July 1, 2009, Boston, Massachussetts, USA.
11. Ajay Basavanhally, Jun Xu, Shridar Ganesan and Anant Madabhushi, Computer-aided prognosis(CAP) of ER+breast cancer histolopathology and correlating survival outcome with Oncotype DX assay, pp.855-858, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, June 28-July 1,2009, Boston, Massachussetts, USA. [link to paper]
12. Hussain Fatakdawala, Ajay Basavanhally, Jun Xu, Anant Madabhushi, Gyan Bhanot, Shridar Ganesan, Michael Feldman and John Tomaszewski, Expectation Maximization driven Geodesic Active Contour with Overlap Resolution (EMaGACOR): Application to Lymphocyte Segmentation on Breast Cancer Histopathology, pp.69-76, 9th IEEE International Conference on BioInformatics and BioEngineering, June 22-24, 2009, Taiwan, China. [link to paper]
