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Publications by Murtha, Albert

In Journal (refereed)

1. M. Cutumisu, C. Vasquez, M. Uhlich, P. Beatty, H. Mehrabani, R. Greiner, R. Djebah, A. Murtha, J. Lewis. "PROSPeCT: A Predictive Research Online System for Prostate Cancer Tasks". Journal of Clinical Oncology: Clinical Cancer Informatics, (3), pp 1-12, May 2019. PDFview
2. M. Uhlich, R. Greiner, B. Hoehn, M. Woghiren, I. Diaz, T. Ivanova, A. Murtha. "Improved Brain Tumor Segmentation via Registration-Based Brain ". Forecasting, 1(1), pp 59-69, September 2018. view
3. B. Saha, N. Ray, R. Greiner, A. Murtha, H. Zhang. "Quick Detection of Brain Tumors and Edemas: A Bounding Box Method Using Symmetry". Computerized Medical Imaging and Graphics, August 2011. view
4. 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. PDFview
5. 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. view

In Journal (unrefereed)

6. N. Ray, R. Greiner, A. Murtha. "Using Symmetry to Detect Abnormalities in Brain MRI". Computer Society of India Communications, 31(19), pp 7--10, January 2008. PDFview

In Conference (refereed)

7. I. Diaz, P. Boulanger, R. Greiner, B. Hoehn, L. Rowe, A. Murtha. "An Automatic Brain Tumor Segmentation Tool". Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp 3339-3342, July 2013. view
8. M. Ben Salah, I. Diaz, R. Greiner, P. Boulanger, B. Hoehn, A. Murtha. "Fully Automated Brain Tumor Segmentation Using Two MRI Modalities". International Symposium on Visual Computing, pp 30-39, July 2013. view
9. I. Diaz, P. Boulanger, R. Greiner, A. Murtha. "A critical review of the effects of de-noising algorithms on MRI brain tumor segmentation". IEEE Engineering in Medicine and Biology Society Conference, September 2011. view
10. C. Lee, S. Wang, M. Brown, A. Murtha, R. Greiner. "Segmenting Brain Tumors using Pseudo-Conditional Random Fields". Medical Image Computing and Computer-Assisted Intervention, pp 359-366, September 2008. PDFview
11. C. Lee, M. Brown, S. Wang, A. Murtha, R. Greiner. "Constrained Classification on Structured Data". National Conference on Artificial Intelligence (AAAI), July 2008. PDFview
12. 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. PDFview
13. M. Schmidt, I. Levner, R. Greiner, A. Murtha, A. Bistritz. "Segmenting Brain Tumors using Alignment-Based Features". International Conference on Machine Learning and Applications (ICMLA), Los Angeles, December 2005. PDFview

In Workshop

14. 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. view
15. 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. PDFview
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