Selected Papers:

  1. Bayesian Longitudinal Modeling of Early State Parkinson's Disease Using DaTscan Images,
    Zhou Y., Tagare H. D., Proc. Inform. Proc. Med. Imag, LLNCS 11492, Springer, pp. 405-416, 2019. (pdf)

  2. Guassian Process Post-processing for Particle Tracking Velocimetry,
    Tang T., Deniz E., Khokha M. K., Tagare H. D., Biomed. Optics Expr., vol. 10, No. 7, July 2019. (pdf)

  3. Voxel-based logistic analysis of PPMI control and Parkinson's disease DaTscans.
    Tagare H. D., DeLorenzo C., Chelikani S., Saperstein L., Fulbright R. K., NeuroImage, 152, pp. 299-311, 2017. (pdf)

  4. Robust w-estimators for cryo-em class means.
    Huang C., Tagare H. D., IEEE Trans. Image Proc., vol. 25, no. 2, pp.893-906, Feb. 2016. (pdf)

  5. Directly reconstructing principal components of heterogeneous particles from cryo-EM images.
    Tagare H. D., Kucukelbir A., Sigworth F. J., Wang H., Rao M., J. Struct. Biol., 2015. (pdf)

  6. SubspaceEM: A fast maximum-a-posteriori algorithm for cryo-EM single particle reconstruction.
    Dvornek N. C., Sigworth F. J., Tagare H. D., J. Struct. Biol.,190, pp. 200-214, 2015. (pdf)

  7. Why does mutual-information work for image registration? A deterministic explanation.
    Tagare H. D., Rao M., I.E.E.E. Trans. Pat. Anal. Mach. Intel., vol. 37 (6), pp.1286-1296, June2015. (pdf)

  8. An algorithm to screen for preeclampsia using a smart phone.
    Tagare H.D., Rood K., Buhimschi I. A., IEEE Healthcare Innovations and Point-of-Care Technologies Conf. Seattle, 2014. (pdf)

  9. Intensity non-uniformity correction for brain MR images with known voxel classes
    Kim Y., Tagare H. D., SIAM Journal on Imaging Sciences, vol. 7, No. 1, pp. 528-557, 2014. (pdf)

  10. Quantifying the local resolution of cryo-EM density maps
    Kucukelbir A., Sigworth F. J., Tagare H. D., Nature Methods, 2013. (pdf)
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  11. A Bayesian adaptive basis algorithm for single particle reconstruction,
    Kucukelbir A., Sigworth F. J., Tagare H. D., J. Struct. Biol. Jul;179(1):56-67, 2012. (pdf)

  12. Myocardial blood flow from dynamic PET using Independent Component Analysis,
    Karpikov A., Tagare H. D., Mulnix T., Gallezot J-D., I.E.E.E. Nuc. Sci. Symp. Med. Img. Conf., 2222-2226, Oct 2012. (pdf)

  13. Segmentation of 3D radio frequency echocardiography using a spatio-temporal predictor,
    Pearlman P. C., Tagare H. D., Lin B. A., Sinusas A. J., Duncan J. S., Medical Image Analysis, 16 (2): 351-360, 2012. (pdf)

  14. A test of independence based on a generalized correlation function,
    Rao M., Seth S., Xu J., Chen Y., Tagare H. D., Principe J. C., Signal Processing, Vo. 91, no. 1, pp 15-27, 2011. (pdf)

  15. An adaptive expectation-maximization algorithm with GPU implementation for electron microscopy,
    Tagare H.D., Barthel A., Sigworth F. J., J Struct Biol. 171:256-265, 2010. (pdf)

  16. Learning to segment using machine-learned penalized logistic models
    Yue Y., Tagare H. D., IEEE CVPR workshops, 58-65, 2009. (pdf)

  17. On the topology and geometry of spaces of affine shapes,
    Groisser D., Tagare H. D., J Math. Imag. Vis., 34:222-233, 2009 (pdf)

  18. Symmetric non-rigid registration: A Geometric Theory and some numerical techniques,
    Tagare H. D., Groisser D., Skrinjar O., J Math. Imag. Vis, 34:61-88, 2009. (pdf)

  19. Tunneling descent for m.a.p. active contours in ultrasound segmentation
    Tao Z., Tagare H. D., Medical Image Analysis, 266:281, 2006 (pdf)

  20. A maximum-likelihood strategy for directing attention during visual search,
    Tagare H. D., Toyama K., Wang J. G., IEEE Trans. Pat. Recog. Mach. Intl., vol. 23, no. 15, pp.490-500, May 2001. (pdf)

  21. Shape-based nonrigid correspondence with application to heart motion analysis,
    Tagare H. D., IEEE Trans. Med. Imag., vol. 18, no. 7, pp.570-579, July 1999. (pdf)

  22. Deformable 2-D Template Matching Using Orthogonal Curves,
    Tagare H. D., IEEE Trans. Med. Imag., vol. 16, No. 1, pp.108-117, Feb. 1997. (pdf)