Hayit Greenspan

Henning Müller, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood (Eds.): Medical Content-Based Retrieval for Clinical Decision Support - Second MICCAI International Workshop, MCBR-CDS 2011, Toronto, ON, Canada, September 22, 2011, Revised Selected Papers. Lecture Notes in Computer Science 7075, Springer 2012, isbn 978-3-642-28459-5

Ceyhun Burak Akgül, Daniel L. Rubin, Sandy Napel, Christopher F. Beaulieu, Hayit Greenspan, Burak Acar: Content-Based Image Retrieval in Radiology: Current Status and Future Directions. J. Digital Imaging 24(2): 208-222 (2011)

Arnaldo Mayer, Gali Zimmerman, Ran Shadmi, Amit Batikoff, Hayit Greenspan: A Supervised Framework for the Registration and Segmentation of White Matter Fiber Tracts. IEEE Trans. Med. Imaging 30(1): 131-145 (2011)

Uri Avni, Hayit Greenspan, Eli Konen, Michal Sharon, Jacob Goldberger: X-ray Categorization and Retrieval on the Organ and Pathology Level, Using Patch-Based Visual Words. IEEE Trans. Med. Imaging 30(3): 733-746 (2011)

Fei Wang, Yong Zhang, David Beymer, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood: Pyramid Histograms of Motion Context with Application to Angiogram Video Classification. FIMH 2011: 384-391

Fei Wang, Yong Zhang, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, David Beymer: Automatic classification of images of an angiography sequence using modified shape context-based spatial pyramid kernels. ISBI 2011: 1091-1096

Adrien Depeursinge, Hayit Greenspan, Tanveer Fathima Syeda-Mahmood, Henning Müller: Overview of the Second Workshop on Medical Content-Based Retrieval for Clinical Decision Support. MCBR-CDS 2011: 1-11

Uri Avni, Hayit Greenspan, Jacob Goldberger: X-ray Categorization and Spatial Localization of Chest Pathologies. MICCAI (3) 2011: 199-206

Shiri Gordon, Hayit Greenspan: An agglomerative segmentation framework for non-convex regions within uterine cervix images. Image Vision Comput. 28(12): 1682-1701 (2010)

Orly Zvitia, Arnaldo Mayer, Ran Shadmi, Shmuel Miron, Hayit Greenspan: Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaussian Mixture Modeling. IEEE Trans. Med. Imaging 29(1): 132-145 (2010)

Amir Alush, Hayit Greenspan, Jacob Goldberger: Automated and Interactive Lesion Detection and Segmentation in Uterine Cervix Images. IEEE Trans. Med. Imaging 29(2): 488-501 (2010)

Tanveer Fathima Syeda-Mahmood, Pavan K. Turaga, David Beymer, Fei Wang, Arnon Amir, Hayit Greenspan, Kilian M. Pohl: Shape-based similarity retrieval of Doppler images for clinical decision support. CVPR 2010: 855-862

Ran Shadmi, Arnaldo Mayer, Nir A. Sochen, Hayit Greenspan: Piecewise smooth affine registration of point-sets with application to DT-MRI brain fiber-data. ISBI 2010: 528-531

Uri Avni, Jacob Goldberger, Michal Sharon, Eli Konen, Hayit Greenspan: Chest x-ray characterization: from organ identification to pathology categorization. Multimedia Information Retrieval 2010: 155-164

Hayit Greenspan: Super-Resolution in Medical Imaging. Comput. J. 52(1): 43-63 (2009)

Shiri Gordon, Shelly Lotenberg, L. Rodney Long, Sameer Antani, Jose Jeronimo, Hayit Greenspan: Evaluation of uterine cervix segmentations using ground truth from multiple experts. Comp. Med. Imag. and Graph. 33(3): 205-216 (2009)

Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolution. Int. J. Biomedical Imaging 2009 (2009)

Hayit Greenspan: Revisiting the Feature and Content Gap for Landmark- Based and Image-to-Image Retrieval in Medical CBIR. IJHISI 4(1): 68-87 (2009)

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)

Hayit Greenspan, Shiri Gordon, Gali Zimmerman, Shelly Lotenberg, Jose Jeronimo, Sameer Antani, L. Rodney Long: Automatic Detection of Anatomical Landmarks in Uterine Cervix Images. IEEE Trans. Med. Imaging 28(3): 454-468 (2009)

Arnaldo Mayer, Hayit Greenspan: An Adaptive Mean-Shift Framework for MRI Brain Segmentation. IEEE Trans. Med. Imaging 28(8): 1238-1250 (2009)

Uri Avni, Hayit Greenspan, Jacob Goldberger: Dense Simple Features for Fast and Accurate Medical X-Ray Annotation. CLEF (2) 2009: 239-246

Avraham Ben-Ezra, Hayit Greenspan, Yossi Rubner: Regularized Super-Resolution of Brain MRI. ISBI 2009: 254-257

Uri Avni, Hayit Greenspan, Michal Sharon, Eli Konen, Jacob Goldberger: X-Ray Image Categorization and Retrieval Using Patch-Based Visual Words Representation. ISBI 2009: 350-353

Amir Alush, Hayit Greenspan, Jacob Goldberger: Lesion Detection and Segmentation in Uterine Cervix Images Using an Arc-Level MRF. ISBI 2009: 474-477

Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: Simplifying Mixture Models Using the Unscented Transform. IEEE Trans. Pattern Anal. Mach. Intell. 30(8): 1496-1502 (2008)

Orly Zvitia, Arnaldo Mayer, Hayit Greenspan: Adaptive mean-shift registration of white matter tractographies. ISBI 2008: 692-695

Arnaldo Mayer, Hayit Greenspan: Bundles of interest based registration of White Matter tractographies. ISBI 2008: 919-922

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)

Jacob Goldberger, Hayit Greenspan, Jeremie Dreyfuss: An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification. CVPR 2007

Omer Rotem, Hayit Greenspan, Jacob Goldberger: Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework. CVPR 2007

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

Shiri Gordon, Hayit Greenspan: Segmentation of Non-convex Regions within Uterine Cervix Images. ISBI 2007: 312-315

Oren Freifeld, Hayit Greenspan, Jacob Goldberger: Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours. ISBI 2007: 596-599

Jacob Goldberger, Hayit Greenspan: Context-Based Segmentation of Image Sequences. IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006)

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)

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)

Arnaldo Mayer, Hayit Greenspan: Segmentation of brain MRI by adaptive mean shift. ISBI 2006: 319-322

Gali Zimmerman, Shiri Gordon, Hayit Greenspan: Automatic landmark detection in uterine cervix images for indexing in a content-retrieval system. ISBI 2006: 1348-1351

Amit Ruf, Hayit Greenspan, Jacob Goldberger: Tissue Classification of Noisy MR Brain Images Using Constrained GMM. MICCAI (2) 2005: 790-797

Hayit Greenspan, Guy Dvir, Yossi Rubner: Context-dependent segmentation and matching in image databases. Computer Vision and Image Understanding 93(1): 86-109 (2004)

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)

Shiri Gordon, Gali Zimmerman, Hayit Greenspan: Image Segmentation of Uterine Cervix Images for Indexing in PACS. CBMS 2004: 298-303

Allon Shahar, Hayit Greenspan: Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions. ECCV Workshops CVAMIA and MMBIA 2004: 269-280

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

Allon Shahar, Hayit Greenspan: A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions. ISBI 2004: 440-443

Oron Shechner, Hayit Greenspan, Mickey Sheinovitz, Micha Feinberg: Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation. ISBI 2004: 488-491

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)

Shiri Gordon, Hayit Greenspan, Jacob Goldberger: Applying the Information Bottleneck Principle to Unsupervised Clustering of Discrete and Continuous Image Representations. ICCV 2003: 370-377

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

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)

Jacob Goldberger, Hayit Greenspan, Shiri Gordon: Unsupervised Image Clustering Using the Information Bottleneck Method. DAGM-Symposium 2002: 158-165

Hayit Greenspan, Jacob Goldberger, Arnaldo Mayer: A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing. ECCV (4) 2002: 461-475

Guy Dvir, Hayit Greenspan, Yossi Rubner: Context-Based Image Modelling. ICPR (4) 2002: 162-165

Hayit Greenspan, Shiri Gordon, Jacob Goldberger: Probabilistic Models for Generating, Modelling and Matching Image Categories. ICPR (3) 2002: 970-973

Hayit Greenspan, Gal Oz, Nahum Kiryati, Sharon Peled: Super-resolution in MRI. ISBI 2002: 943-946

Hayit Greenspan, Jacob Goldberger, Lenny Ridel: A Continuous Probabilistic Framework for Image Matching. Computer Vision and Image Understanding 84(3): 384-406 (2001)

Hayit Greenspan, Jacob Goldberger, Itay Eshet: Mixture model for face-color modeling and segmentation. Pattern Recognition Letters 22(14): 1525-1536 (2001)

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)

Hayit Greenspan, Sharon Peled, Gal Oz, Nahum Kiryati: MRI Inter-slice Reconstruction Using Super-Resolution. MICCAI 2001: 1204-1206

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)

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

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-

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

Jitendra Malik, David A. Forsyth, Margaret M. Fleck, Hayit Greenspan, Thomas K. Leung, Chad Carson, Serge Belongie, Christoph Bregler: Finding objects in image databases by grouping. ICIP (2) 1996: 761-764

Hayit Greenspan, Shimon Akber: Nonlinear edge enhancement. ICIP 1995: 179-182

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)

Hayit Greenspan: Learning in Computer Vision and Image Understanding. NIPS 1993: 1182-1183

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)

Hayit Greenspan, Rodney M. Goodman: Remote Sensing Image Analysis via a Texture Classification Neural Network. NIPS 1992: 425-432

Hayit Greenspan, Rodney M. Goodman, Rama Chellappa: Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery. NIPS 1991: 444-451