2009 |
45 | EE | 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 |
44 | EE | Orly Zvitia,
Arnaldo Mayer,
Hayit Greenspan:
Adaptive mean-shift registration of white matter tractographies.
ISBI 2008: 692-695 |
43 | EE | Arnaldo Mayer,
Hayit Greenspan:
Bundles of interest based registration of White Matter tractographies.
ISBI 2008: 919-922 |
2007 |
42 | EE | Jacob Goldberger,
Hayit Greenspan,
Jeremie Dreyfuss:
An Optimal Reduced Representation of a MoG with Applicatios to Medical Image Database Classification.
CVPR 2007 |
41 | EE | Omer Rotem,
Hayit Greenspan,
Jacob Goldberger:
Combining Region and Edge Cues for Image Segmentation in a Probabilistic Gaussian Mixture Framework.
CVPR 2007 |
40 | EE | 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 | EE | Shiri Gordon,
Hayit Greenspan:
Segmentation of Non-convex Regions within Uterine Cervix Images.
ISBI 2007: 312-315 |
38 | EE | Oren Freifeld,
Hayit Greenspan,
Jacob Goldberger:
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.
ISBI 2007: 596-599 |
37 | EE | 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 | EE | 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 | EE | Arnaldo Mayer,
Hayit Greenspan:
Segmentation of brain MRI by adaptive mean shift.
ISBI 2006: 319-322 |
34 | EE | 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 | EE | Jacob Goldberger,
Hayit Greenspan:
Context-Based Segmentation of Image Sequences.
IEEE Trans. Pattern Anal. Mach. Intell. 28(3): 463-468 (2006) |
32 | EE | 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 | EE | Amit Ruf,
Hayit Greenspan,
Jacob Goldberger:
Tissue Classification of Noisy MR Brain Images Using Constrained GMM.
MICCAI (2) 2005: 790-797 |
2004 |
30 | EE | Shiri Gordon,
Gali Zimmerman,
Hayit Greenspan:
Image Segmentation of Uterine Cervix Images for Indexing in PACS.
CBMS 2004: 298-303 |
29 | EE | Allon Shahar,
Hayit Greenspan:
Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions.
ECCV Workshops CVAMIA and MMBIA 2004: 269-280 |
28 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | 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 | EE | Jacob Goldberger,
Hayit Greenspan,
Shiri Gordon:
Unsupervised Image Clustering Using the Information Bottleneck Method.
DAGM-Symposium 2002: 158-165 |
19 | EE | Hayit Greenspan,
Jacob Goldberger,
Arnaldo Mayer:
A Probabilistic Framework for Spatio-Temporal Video Representation & Indexing.
ECCV (4) 2002: 461-475 |
18 | EE | Hayit Greenspan,
Shiri Gordon,
Jacob Goldberger:
Probabilistic Models for Generating, Modelling and Matching Image Categories.
ICPR (3) 2002: 970-973 |
17 | EE | Guy Dvir,
Hayit Greenspan,
Yossi Rubner:
Context-Based Image Modelling.
ICPR (4) 2002: 162-165 |
16 | EE | Hayit Greenspan,
Gal Oz,
Nahum Kiryati,
Sharon Peled:
Super-resolution in MRI.
ISBI 2002: 943-946 |
15 | EE | 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 | EE | Hayit Greenspan,
Sharon Peled,
Gal Oz,
Nahum Kiryati:
MRI Inter-slice Reconstruction Using Super-Resolution.
MICCAI 2001: 1204-1206 |
13 | EE | 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 | EE | Hayit Greenspan,
Jacob Goldberger,
Itay Eshet:
Mixture model for face-color modeling and segmentation.
Pattern Recognition Letters 22(14): 1525-1536 (2001) |
2000 |
10 | EE | 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 | EE | Hayit Greenspan,
Shimon Akber:
Nonlinear edge enhancement.
ICIP 1995: 179-182 |
1994 |
5 | EE | 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 | EE | Hayit Greenspan:
Learning in Computer Vision and Image Understanding.
NIPS 1993: 1182-1183 |
1992 |
3 | EE | Hayit Greenspan,
Rodney M. Goodman:
Remote Sensing Image Analysis via a Texture Classification Neural Network.
NIPS 1992: 425-432 |
2 | EE | 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 | EE | Hayit Greenspan,
Rodney M. Goodman,
Rama Chellappa:
Combined Neural Network and Rule-Based Framework for Probabilistic Pattern Recognition and Discovery.
NIPS 1991: 444-451 |