Publications

Quantitative Imaging


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Publications of Y. Arzhaeva
Articles in journal or book chapters
  1. L. Bischof, M. Prevorovsky, C. Rallis, D. C. Jeffares, Y. Arzhaeva, and J. Bähler. Spotsizer: High-throughput quantitative analysis of microbial growth. BioTechniques, 2016. [bibtex-entry]

  2. R. Lagerstrom, Y. Arzhaeva, P. Szul, O. Obst, R. Power, B. Robinson, and T. Bednarz. Image Classification to Support Emergency Situation Awareness. Frontiers in Robotics and AI, 3:54, 2016. [DOI] [bibtex-entry]

  3. T. Bednarz, D. Wang, Y. Arzhaeva, R. Lagerstrom, P. Vallotton, N. Budett, A. Khassapov, P. Szul, S. Chen, C. Sun, L. Domanski, D. Thompson, T. Gureyev, and J. Taylor. Cloud Based Toolbox for Image Analysis, Processing and Reconstruction Tasks. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 11, pages 191--205. Springer, 2015. [DOI] [bibtex-entry]

  4. R. Lagerstrom, K. Holt, Y. Arzhaeva, L. Bischof, S. Haberle, F. Hopf, and D. Lovell. Pollen Image Classification Using the Classifynder System: Algorithm Comparison and a Case Study on New Zealand Honey. In C. Sun, T. Bednarz, T. D. Pham, P. Vallotton, and D. Wang, editors,Signal and Image Analysis for Biomedical and Life Sciences, chapter 12, pages 207--226. Springer, 2015. [DOI] [bibtex-entry]

  5. C. Nickson, Y. Arzhaeva, Z. Aitken, T. Elgindy, M. Buckley, M. Li, D. R. English, and A. M. Kavanagh. AutoDensity: An automated method to measure mammographic breast density that predicts breast cancer risk and screening outcomes. Breast Cancer Research, 15:R80, 2013. [DOI] [bibtex-entry]

Conference articles
  1. L. Velentzis, P. Procopio, S. Carr, L. Devereux, B. Mann, P. James, G. Lee, C. Wellard, Y. Arzhaeva, and C. Nickson. Can mammographic density add value to the Gail model in risk-stratifying women in BreastScreen Australia?. In IEA World Congress of Epidemiology, volume 50, pages i242, September 2021. [DOI] [bibtex-entry]

  2. D. Wang, Y. Arzhaeva, L. Devnath, M. Qiao, S. Amirgholipour, Q. Liao, R. McBean, J. Hillhouse, S. Luo, D. Meredith, K. Newbigin, and D. Yates. Automated Pneumoconiosis Detection on Chest X-Rays Using Cascaded Learning with Real and Synthetic Radiographs. In International Conference on Digital Image Computing: Techniques and Applications (DICTA), Melbourne, Australia, 29 November-2 December 2020. [bibtex-entry]

  3. F. Rusak, Y. Arzhaeva, and D. Wang. Content-Aware Image Augmentation for Medical Imaging Applications. In 20th International Conference on Radiology and Medical Imaging, London, United Kingdom, 27-28 September 2018. [bibtex-entry]

  4. T. Bednarz, P. Szul, Y. Arzhaeva, D. Wang, N. Burdett, A. Khassapov, S. Chen, P. Vallotton, R. Lagerstrom, T. Gureyev, and J. Taylor. Biomedical image analysis and processing in clouds. In 2013 International Symposium on Computational Models for Life Sciences, volume 1559, Sydney, Australia, pages 77--79, 27-29 November 2013. AIP. [bibtex-entry]

  5. S. Chen, T. Bednarz, P. Szul, D. Wang, Y. Arzhaeva, N. Burdett, A.hassapov, and J. Zic. Galaxy + Hadoop: Toward a Collaborative and Scalable Image Processing Toolbox in Cloud. In 11th International Conference on Service Oriented Computing, Berlin, Germany, pages 339-351, 2-5 December 2013. [bibtex-entry]

  6. R. Lagerstrom, Y. Arzhaeva, L. Bischof, S. Haberle, F. Hopf, and D. Lovell. A Comparison of Classification Algorithms within the Classifynder Pollen Imaging System. In International Symposium on Computational Models for Life Sciences, Sydney, Australia, pages 250--259, 27-29 November 2013. [bibtex-entry]

  7. D. Wang, T. Bednarz, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud Computing for High Performance Image Analysis on a National Infrastructure. In 13th IEEE/ACM International Symposium On Cluster, Cloud And Grid Computing, Delft, Netherlands, pages 172--173, 13-16 May 2013. [bibtex-entry]

  8. D. Wang, T. Bednarz, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud-based Services for Biomedical Image Analysis. In The 3rd International Conference on Cloud Computing and Services Science, Aachen, Germany, pages 350--357, 8-10 May 2013. [bibtex-entry]

  9. T. Bednarz, D. Wang, Y. Arzhaeva, P. Szul, S. Chen, N. Burdett, A. Khassapov, T. Gureyev, and J. Taylor. Cloud-Based Image Analysis and Processing Toolbox for Biomedical Applications. In The 8th International Conference on eScience, Chicago, USA, 8-12 October 2012. [bibtex-entry]

  10. Y. Arzhaeva, P. Vallotton, and C. Sun. Mosaicing of microscope images in the presence of large areas with insufficient information content. In SPIE Symposium on Medical Imaging, volume 7623, San Diego, California, pages 762338, 13-18 February 2010. [DOI] [bibtex-entry]

  11. Y. Arzhaeva, L. Hogeweg, P. A. de Jong, B. van Ginneken, and M. A. Viergever. Global and local multi-valued dissimilarity-based classication: application to computer-aided detection of tuberculosis. In 12th International Conference on Medical Image Computing and Computer Assisted Intervention, 20-24 September 2009. [bibtex-entry]


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