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Title:
Author:
Hayit Greenspan: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Shiri Gordon, Gali Zimmerman, Hayit Greenspan
    Image Segmentation of Uterine Cervix Images for Indexing in PACS. [Citation Graph (0, 0)][DBLP]
    CBMS, 2004, pp:298-303 [Conf]
  2. Jacob Goldberger, Hayit Greenspan, Shiri Gordon
    Unsupervised Image Clustering Using the Information Bottleneck Method. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2002, pp:158-165 [Conf]
  3. David A. Forsyth, Jitendra Malik, Thomas K. Leung, Christoph Bregler, Chad Carson, Hayit Greenspan, Margaret M. Fleck
    Finding Pictures of Objects in Large Collections of Images. [Citation Graph (0, 0)][DBLP]
    Data Processing Clinic, 1996, pp:0-0 [Conf]
  4. David A. Forsyth, Jitendra Malik, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Serge Belongie, Chad Carson, Christoph Bregler
    Finding Pictures of Objects in Large Collections of Images. [Citation Graph (0, 0)][DBLP]
    Object Representation in Computer Vision, 1996, pp:335-360 [Conf]
  5. Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
    A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. [Citation Graph (0, 0)][DBLP]
    ECCV (4), 2002, pp:461-475 [Conf]
  6. Allon Shahar, Hayit Greenspan
    Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. [Citation Graph (0, 0)][DBLP]
    ECCV Workshops CVAMIA and MMBIA, 2004, pp:269-280 [Conf]
  7. Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud
    Statistical Imaging for Modeling and Identification of Bacterial Types. [Citation Graph (0, 0)][DBLP]
    ECCV Workshops CVAMIA and MMBIA, 2004, pp:329-340 [Conf]
  8. Serge Belongie, Chad Carson, Hayit Greenspan, Jitendra Malik
    Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and its Application to Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICCV, 1998, pp:675-682 [Conf]
  9. Jacob Goldberger, Shiri Gordon, Hayit Greenspan
    An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:487-493 [Conf]
  10. Shiri Gordon, Hayit Greenspan, Jacob Goldberger
    Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. [Citation Graph (0, 0)][DBLP]
    ICCV, 2003, pp:370-377 [Conf]
  11. Hayit Greenspan, Shimon Akber
    Nonlinear edge enhancement. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:179-182 [Conf]
  12. Guy Dvir, Hayit Greenspan, Yossi Rubner
    Context-Based Image Modelling. [Citation Graph (0, 0)][DBLP]
    ICPR (4), 2002, pp:162-165 [Conf]
  13. Hayit Greenspan, Shiri Gordon, Jacob Goldberger
    Probabilistic Models for Generating, Modelling and Matching Image Categories. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2002, pp:970-973 [Conf]
  14. Allon Shahar, Hayit Greenspan
    A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:440-443 [Conf]
  15. Oron Shechner, Hayit Greenspan, Mickey Sheinovitz, Micha Feinberg
    Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:488-491 [Conf]
  16. Gali Zimmerman, Shiri Gordon, Hayit Greenspan
    Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:1348-1351 [Conf]
  17. Arnaldo Mayer, Hayit Greenspan
    Segmentation of brain MRI by adaptive mean shift. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:319-322 [Conf]
  18. Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled
    Super-resolution in MRI. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:943-946 [Conf]
  19. Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati
    MRI Inter-slice Reconstruction Using Super-Resolution. [Citation Graph (0, 0)][DBLP]
    MICCAI, 2001, pp:1204-1206 [Conf]
  20. Amit Ruf, Hayit Greenspan, Jacob Goldberger
    Tissue Classification of Noisy MR Brain Images Using Constrained GMM. [Citation Graph (0, 0)][DBLP]
    MICCAI (2), 2005, pp:790-797 [Conf]
  21. Hayit Greenspan
    Learning in Computer Vision and Image Understanding. [Citation Graph (0, 0)][DBLP]
    NIPS, 1993, pp:1182-1183 [Conf]
  22. Hayit Greenspan, Rodney M. Goodman
    Remote Sensing Image Analysis via a Texture Classification Neural Network. [Citation Graph (0, 0)][DBLP]
    NIPS, 1992, pp:425-432 [Conf]
  23. Hayit Greenspan, Rodney M. Goodman, Rama Chellappa
    Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. [Citation Graph (0, 0)][DBLP]
    NIPS, 1991, pp:444-451 [Conf]
  24. Hayit Greenspan, Guy Dvir, Yossi Rubner
    Context-dependent segmentation and matching in image databases. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2004, v:93, n:1, pp:86-109 [Journal]
  25. Hayit Greenspan, Jacob Goldberger, Lenny Ridel
    A Continuous Probabilistic Framework for Image Matching. [Citation Graph (0, 0)][DBLP]
    Computer Vision and Image Understanding, 2001, v:84, n:3, pp:384-406 [Journal]
  26. Chad Carson, Serge Belongie, Hayit Greenspan, Jitendra Malik
    Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:8, pp:1026-1038 [Journal]
  27. Jacob Goldberger, Hayit Greenspan
    Context-Based Segmentation of Image Sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:3, pp:463-468 [Journal]
  28. Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson
    Learning Texture Discrimination Rules in a Multiresolution System. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1994, v:16, n:9, pp:894-901 [Journal]
  29. Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer
    Probabilistic Space-Time Video Modeling via Piecewise GMM. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:26, n:3, pp:384-396 [Journal]
  30. Hayit Greenspan, Moshe Porat, Yehoshua Y. Zeevi
    Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1992, v:14, n:11, pp:1105-1110 [Journal]
  31. Hayit Greenspan, Jacob Goldberger, Itay Eshet
    Mixture model for face-color modeling and segmentation. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2001, v:22, n:14, pp:1525-1536 [Journal]
  32. Jacob Goldberger, Shiri Gordon, Hayit Greenspan
    Unsupervised image-set clustering using an information theoretic framework. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2006, v:15, n:2, pp:449-458 [Journal]
  33. Hayit Greenspan, Charles H. Anderson, Shimon Akber
    Image enhancement by nonlinear extrapolation in frequency space. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:6, pp:1035-1048 [Journal]
  34. Hayit Greenspan, M. Laifenfeld, Shmuel Einav, O. Barnea
    Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2001, v:20, n:9, pp:928-941 [Journal]
  35. Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud
    Automatic identification of bacterial types using statistical imaging methods. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2004, v:23, n:7, pp:807-820 [Journal]
  36. Omer Rotem, Hayit Greenspan, Jacob Goldberger
    Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]
  37. Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss
    An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. [Citation Graph (0, 0)][DBLP]
    CVPR, 2007, pp:- [Conf]

  38. Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. [Citation Graph (, )][DBLP]


  39. Adaptive mean-shift registration of white matter tractographies. [Citation Graph (, )][DBLP]


  40. Bundles of interest based registration of White Matter tractographies. [Citation Graph (, )][DBLP]


  41. Segmentation of Non-convex Regions within Uterine Cervix Images. [Citation Graph (, )][DBLP]


  42. Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. [Citation Graph (, )][DBLP]


  43. Regularized Super-Resolution of Brain MRI. [Citation Graph (, )][DBLP]


  44. X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. [Citation Graph (, )][DBLP]


  45. Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. [Citation Graph (, )][DBLP]


  46. Chest x-ray characterization: from organ identification to pathology categorization. [Citation Graph (, )][DBLP]


  47. Super-Resolution in Medical Imaging. [Citation Graph (, )][DBLP]


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