Selected Journal Publications (for a full list, please check my CV or my google citation page)
  1. Hoogi A., Wilcox B., Gupta Y., Rubin DL, “Self-Attention Capsule Networks for Image Classification”, arXiv preprint, arXiv:1904.12483

  2. Xiao X., Djurisic M., Hoogi A., Sapp R., Shatz C., Rubin D.L., “Automated dendritic spine detection using convolutional neural networks on maximum intensity projected microscopic volumes”, Journal of Nueroscience methods, Vol. 309, pp. 25-34, 2019

  3. Hoogi A., Subramaniam A., Veerapaneni R., and Rubin D.L, “Adaptive Estimation of Active Contours Parameters Using Convolutional Neural Networks and Texture Analysis”, IEEE T Med Imaging, Vol 36, pp. 781-791, 2017.

  4. Hoogi A., Beaulieu C.F., Cunha G.M., Heba E., Sirlin C.B., Napel S., Rubin D.L., “Adaptive Local Window for Level Set Segmentation of CT and MR Liver Lesions”, Med Image Anal, Vol. 37, pp. 46-55, 2017

  5. Sawyer Lynne R., Gimenez F., Hoogi A. and Rubin D.L., “A curated mammography data set for use in computer-aided detection and diagnosis research”, Scientific data, Vol. 4, pp. 170-177, 2017.

  6. Akkus Z., Galimzianova A., Hoogi A., Rubin D.L, Erickson B.J. “Deep Learning for Brain MRI Segmentation: State of The Art and Future Directions, J. Dig. Imaging. Vol. 30(4), pp. 449-459, 2017

  7. Diamant, I.*, Hoogi A.*, Beaulieu C.F.,  Safdari M., Klang E., Amitai M., Greenspan H., Rubin D. L., “Improved patch based automated liver lesion classification by separate analysis of the interior and boundary regions”, IEEE Biomed Health Inform, 2015. *Equal Contributors

  8. Barker J., Hoogi A., Depeursinge A. and Rubin D.L., “Automated classification of brain tumor type in whole-slide digital pathology images using local representative tiles”, Med Image Anal, vol. 30, pp. 60-71, 2015

  9. Akkus Z, Hoogi A., Renaud G, Van den Oord S.C.H, Ten Kate G.L, Schinkel A.F.L, Adam D, De Jong N, Van der Steen A.F.W, Bosch J.G, “New Quantification Methods for Carotid Intra-plaque Neovascularization Using Contrast-Enhanced Ultrasound”, Ultrasound Med Biol, vol. 40, pp. 25-36, 2014

  10. Van den Oord S.C.H., Akkus Z., Bosch J.B, Hoogi A., Ten Kate G.L., Renaud G., Sijbrands E.J.G., Verhagen H.J., Van der Lugt A., Adam D., de Jong N., Van der Steen A.F.W., Schinkel A.F.L., “Quantitative Contrast-Enhanced Ultrasound of Intra-plaque Neovascularization in Patients with Carotid Atherosclerosis”. Ultraschall Med., 2014 (Epub)

  11. Hoogi A. , Akkus Z, Van den Oord S.C.H, Ten Kate G.L, Schinkel A.F.L, Bosch J.G, De Jong N, Adam D, Van der Steen A.F.W "Quantitative analysis of ultrasound contrast flow behavior in Carotid Plaque Neovasculature", Ultrasound Med. Biol., vol. 38, pp. 2072–2083, 2012.

  12. Hoogi A., Adam D, Hoffman A, Kerner H, Reisner S, Gaitini D. " Carotid Plaque Vulnerability: Quantification of Neovascularization on Contrast-Enhanced Ultrasound With Histopathologic Correlation". AJR Am J Roentgenol, 196:431-6, 2011.

  13. Kimmel E., Krasovitski B., Hoogi A., Razansky D., and Adam D., “Subharmonic response of encapsulated microbubbles: Conditions for existence and amplification” Ultrasound Med. Biol., vol. 33, no.11, pp. 1767–1776, 2007.

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