| 2009 | ||
|---|---|---|
| 47 | Hayit Greenspan: Super-Resolution in Medical Imaging. Comput. J. 52(1): 43-63 (2009) | |
| 46 | Shelly Lotenberg, Shiri Gordon, Hayit Greenspan: Shape Priors for Segmentation of the Cervix Region Within Uterine Cervix Images. J. Digital Imaging 22(3): 286-296 (2009) | |
| 2008 | ||
| 45 | Orly Zvitia, Arnaldo Mayer, Hayit Greenspan: Adaptive mean-shift registration of white matter tractographies. ISBI 2008: 692-695 | |
| 44 | Arnaldo Mayer, Hayit Greenspan: Bundles of interest based registration of White Matter tractographies. ISBI 2008: 919-922 | |
| 43 | Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008) | |
| 2007 | ||
| 42 | Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007 | |
| 41 | Omer Rotem, Hayit Greenspan, Jacob Goldberger: Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007 | |
| 40 | Sigal Trattner, Micha Feigin, Hayit Greenspan, Nir A. Sochen: Can Born Approximate the Unborn? A New Validity Criterion for the Born Approximation in Microscopic Imaging. ICCV 2007: 1-8 | |
| 39 | Shiri Gordon, Hayit Greenspan: Segmentation of Non-convex Regions within Uterine Cervix Images. ISBI 2007: 312-315 | |
| 38 | Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599 | |
| 37 | Hayit Greenspan, Adi Pinhas: Medical Image Categorization and Retrieval for PACS Using the GMM-KL Framework. IEEE Transactions on Information Technology in Biomedicine 11(2): 190-202 (2007) | |
| 2006 | ||
| 36 | Gali Zimmerman, Shiri Gordon, Hayit Greenspan: Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. ISBI 2006: 1348-1351 | |
| 35 | Arnaldo Mayer, Hayit Greenspan: Segmentation of brain MRI by adaptive mean shift. ISBI 2006: 319-322 | |
| 34 | Hayit Greenspan, Amit Ruf, Jacob Goldberger: Constrained Gaussian mixture model framework for automatic segmentation of MR brain images. IEEE Trans. Med. Imaging 25(9): 1233-1245 (2006) | |
| 33 | Jacob Goldberger, Hayit Greenspan: Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006) | |
| 32 | Jacob Goldberger, Shiri Gordon, Hayit Greenspan: Unsupervised image-set clustering using an information theoretic framework. IEEE Transactions on Image Processing 15(2): 449-458 (2006) | |
| 2005 | ||
| 31 | Amit Ruf, Hayit Greenspan, Jacob Goldberger: Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797 | |
| 2004 | ||
| 30 | Shiri Gordon, Gali Zimmerman, Hayit Greenspan: Image Segmentation of Uterine Cervix Images for Indexing in PACS. CBMS 2004: 298-303 | |
| 29 | Allon Shahar, Hayit Greenspan: Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. ECCV Workshops CVAMIA and MMBIA 2004: 269-280 | |
| 28 | Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud: Statistical Imaging for Modeling and Identification of Bacterial Types. ECCV Workshops CVAMIA and MMBIA 2004: 329-340 | |
| 27 | Allon Shahar, Hayit Greenspan: A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions. ISBI 2004: 440-443 | |
| 26 | Oron Shechner, Hayit Greenspan, Mickey Sheinovitz, Micha Feinberg: Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation. ISBI 2004: 488-491 | |
| 25 | Hayit Greenspan, Guy Dvir, Yossi Rubner: Context-dependent segmentation and matching in image databases. Computer Vision and Image Understanding 93(1): 86-109 (2004) | |
| 24 | Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud: Automatic identification of bacterial types using statistical imaging methods. IEEE Trans. Med. Imaging 23(7): 807-820 (2004) | |
| 2003 | ||
| 23 | Shiri Gordon, Hayit Greenspan, Jacob Goldberger: Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377 | |
| 22 | Jacob Goldberger, Shiri Gordon, Hayit Greenspan: An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures. ICCV 2003: 487-493 | |
| 21 | Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: Probabilistic Space-Time Video Modeling via Piecewise GMM. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 384-396 (2003) | |
| 2002 | ||
| 20 | Jacob Goldberger, Hayit Greenspan, Shiri Gordon: Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165 | |
| 19 | Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475 | |
| 18 | Hayit Greenspan, Shiri Gordon, Jacob Goldberger: Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973 | |
| 17 | Guy Dvir, Hayit Greenspan, Yossi Rubner: Context-Based Image Modelling. ICPR (4) 2002: 162-165 | |
| 16 | Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled: Super-resolution in MRI. ISBI 2002: 943-946 | |
| 15 | Chad Carson, Serge Belongie, Hayit Greenspan, Jitendra Malik: Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying. IEEE Trans. Pattern Anal. Mach. Intell. 24(8): 1026-1038 (2002) | |
| 2001 | ||
| 14 | Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati: MRI Inter-slice Reconstruction Using Super-Resolution. MICCAI 2001: 1204-1206 | |
| 13 | Hayit Greenspan, Jacob Goldberger, Lenny Ridel: A Continuous Probabilistic Framework for Image Matching. Computer Vision and Image Understanding 84(3): 384-406 (2001) | |
| 12 | Hayit Greenspan, Moshe Laifenfeld, Shmuel Einav, Ofer Barnea: Evaluation of Center-line Extraction Algorithms in Quantitative Coronary Angiography. IEEE Trans. Med. Imaging 20(9): 928-941 (2001) | |
| 11 | Hayit Greenspan, Jacob Goldberger, Itay Eshet: Mixture model for face-color modeling and segmentation. Pattern Recognition Letters 22(14): 1525-1536 (2001) | |
| 2000 | ||
| 10 | Hayit Greenspan, Charles H. Anderson, Shimon Akber: Image enhancement by nonlinear extrapolation in frequency space. IEEE Transactions on Image Processing 9(6): 1035-1048 (2000) | |
| 1998 | ||
| 9 | 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. ICCV 1998: 675-682 | |
| 1996 | ||
| 8 | 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. Data Processing Clinic 1996: 0- | |
| 7 | 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. Object Representation in Computer Vision 1996: 335-360 | |
| 1995 | ||
| 6 | Hayit Greenspan, Shimon Akber: Nonlinear edge enhancement. ICIP 1995: 179-182 | |
| 1994 | ||
| 5 | Hayit Greenspan, Rodney M. Goodman, Rama Chellappa, Charles H. Anderson: Learning Texture Discrimination Rules in a Multiresolution System. IEEE Trans. Pattern Anal. Mach. Intell. 16(9): 894-901 (1994) | |
| 1993 | ||
| 4 | Hayit Greenspan: Learning in Computer Vision and Image Understanding. NIPS 1993: 1182-1183 | |
| 1992 | ||
| 3 | Hayit Greenspan, Rodney M. Goodman: Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432 | |
| 2 | Hayit Greenspan, Moshe Porat, Yehoshua Y. Zeevi: Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space. IEEE Trans. Pattern Anal. Mach. Intell. 14(11): 1105-1110 (1992) | |
| 1991 | ||
| 1 | Hayit Greenspan, Rodney M. Goodman, Rama Chellappa: Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. NIPS 1991: 444-451 | |