Research Interests:

Medical image processing and analysis; Medical information systems; Content-based image indexing and retrieval; Image Segmentation; Computer Vision & Pattern Recognition;

Classification and Learning systems See Publication of Lab p4-5

Description of Selected Research Projects

Extended Summary of Research

Short Bio

Graduate

• NEW Grad Course (06): Segmentation, Registration, Super-Resolution
  
• Computer Vision in Medical Applications
  
• Image Analysis in Digital Libraries & Medical Archives
  

Undergraduate

• Fundamentals of Medical Image Processing
  
• Medical Image Processing and Analysis
  

Selected Publications:

Quantitative Coronary Analysis (QCA)

• H. Greenspan, M. Laifenfeld, S. Einav and O. Barnea,
  "Center-line Extraction in Quantitative Coronary Angiography as a Function of the Coronary Geometrical Complexity,"
  IEEE Transactions on Medical Imaging (IEEE-TMI), Vol. 20, No. 9, 928-941, Sept. 2001 [pdf]
  

Super-Resolution in MRI

• H. Greenspan, G. Oz, N. Kiryati and S. Peled,
  "MRI Inter-Slice Reconstruction Using Super Resolution",
  Magnetic Resonance Imaging 20: 437-446, 2002 [ps]
  

MRI Brain image Analysis

• Ruf, H. Greenspan, and J. Goldberger. Tissue classification of noisy MR brain images using constrained GMM. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2005. [pdf]
  

Statistical space-time segmentation of active multiple sclerosis lesions

• A. Shahar and H. Greenspan,
  "Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions",
  in Proceedings to the Computer Vision Approaches to Medical Image Analysis Workshop (CVAMIA), Prague, May 2004.
  
• A. Shahar and H. Greenspan,
  "A Probabilistic Framework for the Detection and Tracking in Time of Multiple Sclerosis Lesions,"
  in Proceedings to the IEEE Symposium on Biomedical Imaging, Arlington, VA, Apr. 2004 [pdf]
  
• H. Greenspan, A. Mayer, and A. Shahar,
  "A Probabilistic Framework for the Spatio-Temporal Segmentation of Multiple Sclerosis Lesions in MR Images of the Brain,"
  in Proceedings of SPIE International Symposium on Medical Imaging, San Diego, CA, pp. 1551-1559, Feb. 2003 [ps]
  

Bio-Imaging

• Trattner S., Greenspan H., Tepper G. and Abboud S.
  "Automatic Identification of Bacterial Types Using Statistical Imaging Methods",
  IEEE Transactions on Medical Imaging (IEEE-TMI), Volume: 23(7):807 - 820 , July 2004 [pdf]
  

Doppler Echocardiography Analysis

• Shechner, M. Scheinowitz, M. S. Feinberg, H. Greenspan,
  "Image Analysis of Doppler Echocardiography for Patients with Atrial Fibrillation",
  International Symposium on Biomedical Imaging (ISBI), Washington DC, 2004 [pdf]
  
• H. Greenspan, O. Shechner, M. Scheinowitz and MS. Feinberg, "Doppler echocardiography flow-velocity image analysis for patients with atrial fibrillation,"
  Ultrasound in Medicine and Biology 31(8): 1031-1040, August 2005
  

Content-based Retrieval in Medical Archives

• H. Greenspan, C. Rothmann, T. Cycowitz, Y. Nissan, A. Cohen and Z. Malik,
  "Classification of Lymphoproliferative Disorders by Spectral Imaging of the Nucleus",
  Journal of Histology and Histopathology 17(3): 767-73, 2002.
  
• A. Pinhas and H. Greenspan.
  "A continuous and probabilistic framework for medical image representation and categorization",
  In Proc. of SPIE. Vol. 5371, 230-238, 2004. [pdf]
  
• S. Gordon , G. Zimmerman and H. Greenspan.
  "Image segmentation of uterine cervix images for indexing in PACS",
  In Proc. of the 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004. Bethesda, MD, 2004. [pdf]
  
• S. Gordon , G. Zimmerman and H. Greenspan.
  "Image segmentation of uterine cervix images for indexing in PACS",
  In Proc. of the 17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004. Bethesda, MD, 2004. [pdf]
  

Image Clustering, Similarity and Matching

• J. Goldberger, S. Gordon and H. Greenspan,
  "Unsupervised image-set clustering using an information theoretic framework",
  To appear in IEEE Trans. on Image Processing (IEEE-IP), 2006
  
• J. Goldberger and H. Greenspan.
  "Context-based Segmentation of Image and Video data,"
  To appear in IEEE Trans on Pattern Analysis and Machine Intelligence (IEEE-PAMI), 2006
  
• H. Greenspan, G. Dvir and Y. Rubner,
  "Context-dependent segmentation and matching in image databases",
  Journal of Computer Vision and Image Understanding (CVIU), 93:86-109, 2004 [pdf]
  
• S. Gordon, H. Greenspan and J. Goldberger
  "Applying the Information Bottleneck principle to unsupervised clustering of discrete and continuous image representations",
  Oral presentation; In Proc. of International Conference on Computer Vision (ICCV'03), pages 370-377, Nice, France, 2003. [ps]
  
• J. Goldberger, S. Gordon and H. Greenspan
  "An efficient image similarity measure based on approximations of KL-divergence between two Gaussian Mixtures",
  In Proc. of International Conference on Computer Vision (ICCV'03), pages 487-493, Nice, France, 2003. [ps]
  
• J. Goldberger, H. Greenspan, and S. Gordon,
  "Unsupervised image clustering using the Information Bottleneck method",
  In DAGM 2002 [pdf]
  
• H. Greenspan, J. Goldberger and L.Ridel,
  "A continuous probabilistic framework for image matching",
  Journal of Computer Vision and Image Understanding (CVIU), 84:384-406, 2001 [pdf]
  
• H. Greenspan, S.Gordon and J. Goldberger.
  "Probabilistic models for generating, modeling and matching image categories",
  In Proc. of the International Conference on Pattern Recognition(ICPR'02)?, Quebec, August 2002 [pdf]
  
• G. Dvir, H. Greenspan, and Y. Rubner,
  "Context-Based Image Modeling,"
  International Conference on Pattern Recognition (ICPR'02), Quebec, August 2002 [ps]
  

Video Representation and Indexing

• H. Greenspan, J. Goldberger, A. Mayer.
  "Probabilistic Space-Time Video Modeling via Piecewise GMM",
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-PAMI), 24(3):384-396, 2004. [pdf]
  
• H. Greenspan, J. Goldberger, A. Mayer.
  "A Probabilistic Framework for Spatio-Temporal Video Representation",
  ECCV (4) 2002: 461-475.
  

Face Color Modeling

• H. Greenspan, J. Goldberger and Itai Eshet,
  "Mixture Model for Face Color Modeling and Segmentation",
  Pattern Recognition Letters, Vol. 22, 1525-1536, Sept. 2001. [pdf]
  

Image Enhancement

• H. Greenspan, C. Anderson and S. Akber,
  "Image Enhancement by Non-Linear Extrapolation in Frequency Space,"
  IEEE Transactions on Image Processing (IEEE-IP), Vol. 9, No. 6, 1035-1048, June 2000. [pdf]
  

Content-based Image Retrieval / BlobWorld

• S. Belongie, C. Carson, H. Greenspan and J. Malik,
  "Recognition of Images in Large Databases using Color and Texture";
  IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-PAMI), 24(8): 1026-1038, 2002. [ps]
  
• Serge Belongie, Chad Carson, Hayit Greenspan and Jitendra Malik, Color- and Texture-based Image Segmentation Using the Expectation-Maximization Algorithm and Its Application to Content-Based Image Retrieval ICCV 1998, Mumbai, India, pp. 675-82.
  
• Chad Carson, Serge Belongie, Hayit Greenspan and Jitendra Malik, Region-Based Image Querying CBAIVL 1997, San Juan, Puerto Rico, pp. 42-9.
  
• David Forsyth, Jitendra Malik, Margaret Fleck, Hayit Greenspan, Thomas Leung, Serge Belongie, Chad Carson and Chris Bregler,
  "Finding Pictures of Objects in Large Collections of Images",
  International Workshop on Object Recognition for Computer Vision,
  April 13-14 1996, Cambridge, England, pp. 335-60 (Proc. ECCV '96).
  
• Jitendra Malik, David Forsyth, Margaret Fleck, Hayit Greenspan, Thomas Leung, Chad Carson, Serge Belongie and Chris Bregler,
  Finding Objects in Image Databases by Grouping,
  Invited presentation International Conference on Image Processing (ICIP '96),
  special session on "Images in Digital Libraries," Sept. 1996, pp. 761-4 vol.2.
  

Steerable Filters and Texture Recognition

• H. Greenspan, S. Belongie, P. Perona, R. Goodman, S. Rakshit and C. Anderson, Overcomplete Steerable Pyramid Filters and Rotation Invariance CVPR 1994, Seattle, WA, pp. 222-8.
  
• H. Greenspan, S. Belongie, P. Perona and R. Goodman, Rotation Invariant Texture Recognition Using a Steerable Pyramid ICPR 1994, Jerusalem, Israel, pp. 162-7 vol 2.