Selected Papers:

  1. Hierarchical Denoising of Ordinal Time Series of Clinical Scores,
    Koss J., Tinaz S., Tagare H. D., IEEE Journ. Biomed. Health. Inform., March 2022 (Accepted) (pdf)

  2. Steerable Near-quadrature Filter Pairs in Three Dimensions,
    Tang T., Tagare H. D., SIAM Journ. Imag. Sci., vol. 15, no. 2, pp: 670-700, May 2022. (pdf)

  3. Self-normalized Classification of Parkinson's Disease DaTscan Images,
    Zhou Y., Tagare H. D. I.E.E.E. Conf. BIBM, Dec. 2021. (pdf)

  4. Hierarchical MAP Denoising of Longitudinal Hamilton Depression Ratings Scores,
    Koss J., DeLorenzo C., Tagare H. D., I.E.E.E. Conf. BIBM, pp: 1389-1394, Dec. 2021. (pdf)

  5. Robust Analysis of Early-Stage Paksinson's Disease Progression Using DaTscan Images,
    Zou Y., Tinaz S., Tagare H. D., IEEE Trans. Med. Imag., vol. 40:2, pp:549-561, Feb. 2021. (pdf)

  6. Continuous Flexibility Analysis of SARS-CoV-2 Spike Prefusion Structures,
    Melero R., [several authors], Tagare H. D., and Carazo J. M., IUCrJ, 7, pp:1059-1069, 2020. (pdf)

  7. Local Resolution Estimates of Cryo-EM Reconstructons,
    Vilas J. L. , Heymann J. B., Tagare H. D., Ramirez-Aportela E., Carazo J.M., Sorzano C. O. S., Curr. Op. Struct. Biol., 64:74-78, 2020. (pdf)

  8. 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)

  9. 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)

  10. 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)

  11. 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)

  12. 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)

  13. 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)

  14. 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)

  15. 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)

  16. 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)

  17. 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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  18. 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)

  19. 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)

  20. 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)

  21. 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)

  22. 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)

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

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

  25. 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)

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

  27. 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)

  28. 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)

  29. 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)