Publications

  • Sarah S. Aboutalib, Aly A. Mohamed, Shandong Wu, et al. Deep Learning to Distinguish Recalled but Benign Mammography Images in Breast Cancer Screening. Clinical Cancer Research, 2018. html
  • Aboutalib, S., Mohamed, A., Wu, Shandong, et al. Do pre-trained deep learning models improve computer-aided classification of digital mammograms? International Society of Optics and Photonics (SPIE): Medical Imaging, 2018. pdf
  • Aboutalib, S., Mohamed, A., Wu, Shandong, et al. Automatic identification of nuanced imaging features in recalled but biopsy benign mammogram images. Radiology Society of North America (RSNA), 2017. pdf
  • Aboutalib, S. Multiple-Cue Object Recognition for Interactionable Objects. Thesis, 2010. html
  • Aboutalib, S. and Veloso, M. Multiple-Cue Object Recognition on Outside Datasets. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2010. pdf
  • Aboutalib, S. and Veloso, M. Cue-based equivalence classes and incremental discrimination for object recognition. IROS, 2009. pdf
  • Aboutalib, S. and Veloso, M. Simulation and Weights of Multiple Cues for Robust Object Recognition. IROS, 2007. pdf
  • Aboutalib, S. and Veloso, M. Towards Using Multiple Cues for Robust Object Recognition. In Proceedings of AAMAS'07, the Sixth International Joint Conference on Autonomous Agents and Multi-Agent Systems, Honolulu, HI. May 2007. pdf
  • Murphy-Chutorian, E., Aboutalib, S., Triesch, J. Analysis of a Biologically- Inspired System for Real-time Object Recognition Cognitive Science Online, 3.2, pp. 1-14. 2005. http://cogsci-online.ucsd.edu/3/3-3.pdf

    • * Thesis proposal document also available, upon request.