Publications by Sander, Joerg
In Journal (refereed)
| 1. | D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". International Journal of Bioinformatics Research and Applications, 8(1/2), pp 54-66, January 2012.  |
| 2. | J. Chen, O. Zaiane, J. Sander, R. Goebel. "ONDOCS: Ordering Nodes to Detect Overlapping Community Structure". Annuals of Information Systems, 12, pp 125-148, October 2010.  |
| 3. | M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "Learning a Classification-based Glioma Growth Model Using MRI Data". Journal of Computers (JCP), 1(7), pp 21-31, November 2006. |
| 4. | A. Murtha, J. Sander, R. Greiner. "A Novel Approach to Constructing More "Intelligent" Planning Target Volumes for Glioma Patients". Radiotherapy and Oncology, 80(S1), pp S12 - S13, September 2006. |
In Conference (refereed)
| 5. | M. Strobl, J. Sander, R. Campello, O. Zaiane. "Model-based Clustering with HDBSCAN*". European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databa, September 2020. |
| 6. | D. Moulavi, M. Hajiloo, J. Sander, P. Halloran, R. Greiner. "Combining Gene Expression and Interaction Network Data to Improve Kidney Lesion Score Prediction". Biotechnology and Bioinformatics Symposium, October 2010. |
| 7. | M. Morris, R. Greiner, J. Sander, A. Murtha, M. Schmidt. "A Classification-based Glioma Diffusion Model Using MRI Data". Canadian Conference on Artificial Intelligence (CAI), Quebec City, May 2006. |
In Workshop
| 8. | A. Murtha, J. Levesque, M. Brown, M. Heydari, J. Sander, M. Jagersand, N. Leong, W. Roa, B. Abdulkarim, D. Fulton, M. Smerdely, R. Greiner. "Development of an image-centered database containing MRI and PET data, and examples of its application in the treatment of glioma patients". Canadian Association of Radiation Oncology, June 2007. |
| 9. | C. Lee, M. Schmidt, A. Murtha, A. Bistritz, J. Sander, R. Greiner. "Segmenting Brain Tumor with Conditional Random Fields and Support Vector Machines". Computer Vision for Biomedical Image Applications: Current Techniques and Future Trends, Springer, (ed: Liu, Yanxi; Jiang, Tianzi; Zhang, Changshui), pp 469-478, October 2005. |
