HAYIT (Katy) GREENSPAN, PH.D.hayit@eng.tau.ac.il

January 2014

OFFICE ADDRESS:Dept. of Biomedical Engineering,Faculty of Engineering,Tel-Aviv University,Ramat Aviv, Tel-Aviv, Israel 69978(03)6407398

Home Address (Israel): Home Address (USA):

Yehuda hanasi 35 372 Gosser stRamat-Aviv, Milpitas,Tel-Aviv, Israel CA, 95035 ,USA+972 (54)9165982 (408)5063616

EDUCATION

B.S. (Cum Laude), Electrical and Computer Engineering October 1983 - June 1986Technion - Israel Institute of TechnologyOne year of undergraduate studies (prior to military service)Univ. of Illinois at Urbana Champaign (1980-1981)

M.S., Electrical Engineering October 1986 - June 1989Technion - Israel Institute of TechnologyMajor: Computer Vision and Neural NetworksTitle of Master’s thesis:Image Analysis in the Combined Spatial Orientational SpaceNames of Supervisors: Prof. Zeevi and Dr. M. Porat

Ph.D., Electrical Engineering September 1989 - June 1994CALTECH - California Institute of Technology - Pasadena, CAMajor: Image Processing, Information Theory and Neural NetworksTitle of Doctoral dissertation:Multiresolution Image Processing and Learning for Texture Recognition and Image EnhancementAdvisor: Prof. Rodney M. Goodman

ACADEMIC AND PROFESSIONAL EXPERIENCE

TECHNICAL STAFF MEMBER - Jet Propulsion Laboratory, Pasadena, CAAcademic Part time at the Image Processing section. Application of the Ph.D. research to NASAimage analysis tasks; Coinventor of a patent on image enhancement. 1990 - 1992Academic Part Time at the Communications System Research section. Combining image-enhancementand automated image analysis with advanced image-compression schemes. 1992 - 1993

RESEARCH FELLOWElectrical Engineering, California Institute of Technology 1994 - 1997Rotation and Scale invariant texture recognition; Application of texture work in medical imagery anal-ysis. Image enhancement; Image coding and transmission.

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Computer Science Dept., University of California, Berkeley 1995 - 1997Image understanding in Digital Libraries (NSF site for Digital Libraries research).

Eshkol PostDoctorate, Tel-Aviv University 1997 - 1999Signal and Image processing in medical imagery analysis. Combination of image modules for content-based indexing and retrieval in large medical-image databases.

CONSULTANT - MATE, Media Access Technologies, Tel-Aviv 1997 - 1999Video indexing and search; face detection and recognition, video object segmentation

ACADEMIC POSITIONS

Visiting lecturer Tel-Aviv UniversityDepartment of Biomedical Engineering, Faculty of Engineering Oct 1999 - Nov 2002

Assistant Professor Tel-Aviv UniversityDepartment of Biomedical Engineering, Faculty of Engineering Oct 2002 - Feb 2006

Tenured Assistant Professor Tel-Aviv UniversityDepartment of Biomedical Engineering, Faculty of Engineering Mar 2006 - June 2010

Tenured Associate Professor Tel-Aviv UniversityDepartment of Biomedical Engineering, Faculty of Engineering July 2010 - Current

Visiting Professor Stanford UniversityDepartment of Radiology, Faculty of Medicine Oct 2008 - July 2011

Visiting Researcher IBM ResearchMulti-modal Mining for Healthcare group, Almaden, CA Oct 2008 - Feb 2011

Senior Research Scientist, summer affiliate International Computer Science Institute(ICSI), UCBerkeley, Berkeley, CA 2012 - Current

ACADEMIC ROLES

Chair of the Undergraduate Program at the Biomedical Engineering Dept. Tel-Aviv University

Member of the Biomedical Engineering Dept Curriculum Committee

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RESEARCH

• Research Areas: Medical image processing and analysis; Statistical image modeling and seg-mentation; Content-based image and video indexing and retrieval.

• Current Research Focuses: MRI Brain Image Analysis; Augmenting resolution in MRI; Neuro-logical diseases, Multiple-Sclerosis; CT lesion analysis; Uterine-cervix image analysis and indexingfor cancer screening; Medical image retrieval from large archives (PACS).

• Selected Research Collaborations: (1) Statistical models for segmentation and tracking ofMS lesions in MRI images of the brain: Contacts with the Radiology Dept and Multiple-SclerosisUnit, at Sheba Medical Center,Tel-Hashomer(2) Content-based Retrieval of Liver Lesions. Collaboration with S. Napel and D. Rubin, Radiol-ogy Dept. Stanford.(3) Finding similar patients for Clinical Decision Support. The AALIM system. Collaborationwith the IBM ALmaden Multi-modal mining for Healthcare group, Almaden CA.(4) Image Content-Based Indexing of Uterine Cervix Images: Collaboration with National Libraryof Medicine (NLM) group at NIH and the NCI Hormonal and Reproductive Epidemiology Branch.

TEACHING EXPERIENCE

• TechnionTaught undergraduate and graduate level Electrical Engineering courses in Computer Networkingand Control Theory. 1986-1989

• California Institute of Technology Organizer of a research group on pattern recognition andimage analysis projects. 1995-1997

• Graduate Courses, Tel-Aviv University

“Image analysis in Digital Libraries and Medical Archives”, 1998-2001, 2004-2005, 2006-2007,2012-2014

“Computer Vision in Medical Applications” 2000-2003, 2007-2008, 2011

“Image Management in Medical Image Archives” 2000-2002

“Advanced Topics in Medical Image Analysis” 2001-2008, 2012-2014

• Undergrad Courses, Tel-Aviv University

“Medical Image Processing and Analysis” 2003-2008, 2012-2014

“Fundamentals of Medical Image Processing ” 2004-2008, 2011-2014

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INVITED LECTURES

• “Image Management in Medical Informatics”Invited lecture in Computers in Medicine course, TAU May 2000Invited lecture in Computers in Medicine course, Technion April 2002

• Invited speaker for Rozenberg Lecture, TAU May 2001

• Invited speaker for Shiluvim forum, TAU March 2005

• Invited speaker at a symposium entitled “Pattern Recognition in the Brain and in ComputationalSciences” at Haifa University, March 2005

• Guest speaker at a symposium entitled “Image, Vision, and Neural Computation”at Washington University, St. Louis,USA May 2005

• Invited talk at Applied Materials January 2006

• Invited talk at IBM Almaden, CA, USA February 2008

• Invited talk at Siemens Corporate Research, NJ, USA April 2008

• Invited talk at the Radiology Dept, Stanford March 2009

• Invited talk at the IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), June 2009

• Invited talk at the SPIE Medical Imaging conference, February 2011

• Invited lecture in Stanford Class Biomedical Informatics 260: Computational Methods for Biomed-ical Image Analysis and Interpretation, April 2011

• Invited talk at ISIS (Information Sciences in Imaging at Stanford) Seminar Series, Stanford Uni-versity, November 2011

• Invited talk at Radiology Seminar Series, Tel-Aviv medical School, November 2012

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PROFESSIONAL ACTIVITIES

JOURNALS

ASSOCIATE EDITOR - IEEE Transactions on Medical Imaging (TMI). Highest ranking Journalin Medical Imaging.

ASSOCIATE EDITOR - Journal of Pattern Analysis and Applications, BertelsmanSpringer

CONFERENCES

Workshop organizer and Chair - in Advances in Neural Information Processing Systems 6 (NIPS).December 1993

Program Committee member - in the 13th Israeli Symposium on Artificial Intelligence, ComputerVision and Neural Networks. February 1997

Program Committee member - workshop at MICCAI’2001Medical Image Computing and Computer-Assisted Intervention: Workshop on Visual Information Re-trieval and Exploration in Large Medical Image Collections,

Utrecht, The Netherlands, October 2001

Program Committee member - ICPR’2002International Conference on Pattern Recognition, Biomedical Processing

Quebec, Canada, August 2002

Program Committee member - Advances in Neural Information Processing Systems (NIPS), 2004,2005

Co-Organizer and Program Committee member- Workshop on Advanced Computer AidedSurgery and Biomedical Image processing, Israeli-Italian Cooperative project, Tel-Aviv University,June 2005

Chair -Medical Image Processing session; Program Committee member - ISRACASIsraeli Symposium on Computer-Aided Surgery, Medical Robotics, and Medical Imaging, Tel-Aviv,2001-2006

Chair - Image Segmentation, Retrieval and Analysis session IEEE International Symposiumon Biomedical Imaging (IEEE-ISBI), Washington DC, April 2006.

Co-Organizer and Program Committee member- Israel-France Meeting on Medical ImagingTechnology, Hadassah University Hospital, March 2006

Co-Organizer and Chair- Israel Society for Medical and Biological Engineering - Annual meeting,Technion, May 2006

Workshop Organizer- MICCAI 07 workshop: Content-based Image Retrieval for Biomedical ImageArchives: Achievements, Problems, and Prospects, Brisbane, Australia, October 2007

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Invited Panelist- SPIE 08 special session: Medical Image Indexing and Retrieval, San-Diego, USAFebruary 2008

Program Committee member - MICCAI09 workshop on Medical Content-based Retrieval forClinical Decision Support, London, Sept. 2009

Workshop Organizer- IEEE Computer Society Workshop on Mathematical Methods in BiomedicalImage Analysis (MMBIA10), San-Francisco, CA, June 2010

Session Chair- Content-based Image Retrieval in Computer-Aided-Diagnosis, SPIE Medical Imaging,Florida , February 2011

Tutorial Chair The First IEEE International Conference on Healthcare Informatics, Imaging andSystems Biology (IEEE-HISB), San Jose, CA, July 2011

Workshop Organizer and Chair- Medical Content-based Retrieval for Clinical Decision Support(MCBR-CDS), Part of MICCAI 2011, Toronto, Canada September 2011

Program Committee member - Computer-Aided Diagnosis, SPIE Medical Imaging conference,2011,2012

Session Chair- SPIE Medical Imaging, San-Diego, February 2012

Yearbook selection referee - International Medical Informatics Association (IMIA) Yearbook ofMedical Informatics, 2012

PROGRAM COMMITTEE MEMBER - Medical Image Computing and Computer-AssistedIntervention(MICCAI-2012), Nice,France October 2012

PROGRAM COMMITTEE MEMBER- Medical Image Computing and Computer-AssistedIntervention(MICCAI-2013), Nagoya, Japan October 2013

PROGRAM COMMITTEE MEMBER- Medical Image Computing and Computer-AssistedIntervention(MICCAI-2014), Boston, MA October 2014

** IEEE-TMI is ranked number 1 Journal publication in the Medical Computing field **

** Medical Image Computing and Computer-Assisted Intervention(MICCAI) is the number 1 Confer-ence in the Medical Image Computing field **

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ACTIVE PARTICIPATION IN SCIENTIFIC MEETINGS (Partial list)

1992-1994 Neural Information Processing Systems (NIPS) Denver, Colorado, USA

1994,200,2007 IEEE Conf. on Computer Vision USAand Pattern Recognition (IEEE-CVPR)

1994 International Conf. on Pattern Recognition (ICPR) Jerusalem, Israel1995 Machines that Learn Conf. Snowbird, Utah, USA1996 IEEE International Conf. on Image Processing (IEEE-IP) Switzerland1997 IEEE Workshop:Content-based Access Puerto-Rico

Image and Video Libraries

1997 IEEE Workshop:Document Image Analysis Peurto-Rico,

1998,2003,2007 IEEE Int. Conf. on Computer Vision (IEEE-ICCV) International

1999 First joint meeting of BMES and EMBS Atlanta, GA, USA

2003 DAGM03 - Pattern Recognition conference Zurich, Switzerland

2004 European Conf. on Computer Vision (ECCV) Europe

2006-2008, 2010 IEEE Workshop on Mathematical Methods , CVPR, USAin Biomedical Image Analysis (MMBIA)

2001-2008 Israeli Symp. on Medical Image Processing Tel-Aviv, Israeland Computer Assisted Surgery (ISRACAS)

1999-2006 Ministry of Science Tel-Aviv, IsraelAnnual meeting of Computer Vision Research

2002,2004 IEEE International Symp. USA2006-2010 on Biomedical Imaging (IEEE- ISBI)

2003-2014 SPIE - Medical Imaging conf. San-Diego,CA, USA

2012 IEEE-EMBS Forum on Grand Challenges - Invited Participation Washington DC, USAin Biomedical Imaging (“http://gcbme2011.embs.org/”)

2000-2008, 2014 Annual meeting of the Israel Society Israelon Medical and Biological Engineering (ISMBE)

2001,2005 Medical Image Computing and USA, International2007-2009, 2011-2014 Computer-Assisted Intervention (MICCAI)

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ACADEMIC AND PROFESSIONAL AWARDS

INTERNAL GRANTS

01/1999-01/2000 Kodesh Institute Content-based Retrieval in Medicine 5,000 USD P.I.08/1998-09/2001 Elizabeth and Nicholas Slezak 10,000 USD P.I.

Super-Center forCardiac Researchand Medical Engineering

05/2001-09/2002 Kodesh Institute Super resolution in MRI 23,101 ILS P.I.04/2003-09/2006 Adams SuperCenter Statistical modeling techniques 42,930 ILS P.I.

for Brain Studies for MSlesions segmentation and trackingin MRI images of the brain

04/2003-09/2007 TAU Vice-President Equipment Grant 40,000 USD P.I.

10/2006-12/2007 TAU Vice-President Research Grant 10,900 ILS P.I.

09/2008-09/2009 TAU Vice-President Research Grant 27,000 ILS P.I.

12/2011-12/2012 Kodesh Institute Automatic classification 20,000ILS P.I.of DTI brain fiber tracts

** Kodesh, Adams & Slezak are Competitive Internal Grants **

EXTERNAL GRANTS

08/98-12/99 Ministry of Science: Interactive Multimedia 268,836 ILS P.I. (4 groups)12/99-11/00 Strategic Research 209,029 ILS01/01-11/01 146,330 ILS

12/05-11/06 Ministry of Science: Innovative Computerized Tools 425,000 ILS P.I. (3 groups)12/06-11/07 Strategic Research for Brain MRI 214,320 ILS12/07-11/08 214,320 ILS

01/06-12/06 Dept of Defense Grant Image Retrieval 115,460 ILS P.I. (2 groups)

03/12-02/13 Ministry of Industry: GE-TAU collaboration 1,660,000 ILS overall; P.I.03/13-02/14 Industry-Academic grant Smart Oncology workflow 700,000 ILS TAU;

on the PACS per year

** External Grants are Competitive with success rate of approx 30% *** PhD student fellowship is between 60,000-80,000 ILS per year **

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FELLOWSHIPS and SCHOLARSHIPS

1983-1986 Technion Dean’s ListFellowship and Full Tuition for graduate studies

1990 Scholarship to the 1990 Connectionist-Models Summer School, San-Diego, CA.1990-1991 Emelia Earhart Fellowship; Zonta International1992-1993 Intel Foundation Graduate Fellowship Award1994-1996 Intel Foundation Research Grant (personal grant)1994-1996 ARPA grant,“A Hybrid Neural Vision System for Image Classification and Recognition”

Prof. R. Goodman and P. Perona from Caltech, J. Alspector from Bell Core.Grant No. N00014-93-1-0990.Based on Ph.D. work at Caltech. Active participation in the proposal preparation

1997 Phikovsky-Velachi Grant, Tel-Aviv University1998-2000 Eshkol Foundation Grant, A national award: 105,600 ILS

AWARDS AND COMPETITIONS

2003 NASA Space Act Award:For the creative development of a technological contributionwhich has been determined to be of significant valuein the advancement of the space and aeronautical activities of NASA.Entitled:“Image Enhancement by Non-Linear Extrapolation in Frequency Space”.

2009 Scientific Excellence Award, IBM Research center, Almaden, CA.

2008, 2009 ******ImageCLEF competition:First place in International competition ImageCLEFon Medical image retrieval from large image archives.

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REVIEWER

Journals

• IEEE Trans. on Medical Imaging (IEEE-TMI)

• Medical Image Analysis (MEDIA)

• IEEE Trans. on Biomedical Engineering (IEEE-TBE)

• Annals of Biomedical Engineering

• International Journal of Biomedical Imaging (IJBI)

• Computers in Biology and Medicine (Elsevier)

• Medical & Biological Engineering & Computing (MBEC)

• Journal of Digital Imaging (JDI)

• IEEE Journal on Pattern Analysis and Machine Intelligence (IEEE-PAMI)

• IEEE Trans. on Image Processing (IEEE-IP)

• IEEE Trans. on Multimedia (IEEE-MM)

• Journal of Computer Vision, Graphics and Image Processing (CVGIP)

• International Journal of Computer Vision (IJCV)

• Journal of Visual Communication and Image Representation (JVCI)

• SPIE Journal of Electronic Imaging (JEI)

Conferences

• Medical Image Computing and Computer-Assisted Intervention (MICCAI)

• Workshop on Mathematical Methods in Biomedical Image Analysis (MMBIA)

• SPIE Medical imaging - Computer-Aided Diagnosis conference (SPIE)

• IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

• European Conference on Computer Vision (ECCV)

• International Conference on Image Processing (ICIP)

• International Conference on Pattern Recognition (ICPR)

• Neural Information Processing Systems (NIPS)

Expert Reviewer: Thesis / Grant Proposals

• Israel Science Foundation (ISF)

• United States-Israel Binational Science Foundation (BSF)

• Swiss National Science Foundation (SNSF), Div. Mathematics, Physical and Engineering Sciences2009, 2010

• Technology Foundation STW, in Utrecht, The Netherlands. STW subsidises applied scientificresearch at Dutch universities and is funded by the Dutch government. 2009

• The Innovation and Technology Commission, a funding agency for applied research of the Gov-ernment of Hong Kong. 2009

MEMBERSHIP IN PROFESSIONAL SOCIETIES

Member of the IEEE Society

Member of the MICCAI Society

Member of the SPIE Society

Member of the Israeli Society for Medical and Biological Engineering

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PATENTS

1. US5717789: “Image enhancement by non-linear extrapolation in frequency space,”C. Anderson and H. Greenspan, Filed Sept. 1995; Issued February 1998.[Google Scholar Citations:79]

2. US5956427: “DFT encoding of oriented filter responses for rotation invariance andorientation estimation in digitized images,”H. Greenspan and S. Belongie, Filed June 1995; Issued September 1999.

3. US6005983: “Image enhancement by non-linear extrapolation in frequency space,”C. Anderson and H. Greenspan, Filed Sept. 1997; Issued December 1999.[Google Scholar Citations:29]

4. US6937766: “Method of indexing and searching images of text in video,”I Wilf, J Ladkani, O Menadeva, H Greenspan, Issued 2005[Google Scholar Citations:35]

5. US7184100: “Method of Selecting Key-Frames from a Video Sequence,”I. Wilf, O. Menadova and H. Greenspan, Filed March 1999; Issued February 2007.

6. US61358979: “Method and System of Classifying Medical Images,”H. Greenspan, J. Goldberger, U. Avni, E. Konen and M. Sharon, Filed June 2010.

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SCIENTIFIC PUBLICATIONS

JOURNAL PUBLICATION LIST

1. H. Greenspan, M. Porat and Y. Y. Zeevi“Projection-Based Approach to Image Analysis: the Position-Orientation Space,”IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-PAMI),Vol. 14, No. 11, pp. 1105-1110, 1992.[Impact factor 6.0][Citations:2][GS:5]

2. H. Greenspan, R. Goodman, R. Chellappa and C. Anderson“Learning Texture Discrimination Rules in a Multiresolution System,”special issue on “Learning in Computer Vision”IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-PAMI),Vol. 16, No. 9, pp. 894-901, 1994.[Impact factor 6.0][Citations:28][GS:65]

3. 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, pp. 1035-1048,June 2000.[Impact factor 3.3][Citations:70][GS:181]

4. H. Greenspan, M. Laifenfeld (S), S. Einav and O. Barnea,“Evaluation of center-line extraction algorithms in quantitative coronary angiogra-phy,”IEEE Transactions on Medical Imaging (IEEE-TMI), Vol. 20, No. 9, pp. 928-941,Sept. 2001.[Impact factor 4.0][Citations:31][GS:44]

5. H. Greenspan, J. Goldberger (C) and Itai Eshet (S),“Mixture Model for Face Color Modeling and Segmentation”,Pattern Recognition Letters, Vol. 22, pp. 1525-1536, Sept. 2001.[Impact factor 1.6][Citations:46][GS:113]

6. H. Greenspan, J. Goldberger (C) and Lenny Ridel (S),“A Continuous Probabilistic Framework for Image Matching,”Journal of Computer Vision and Image Understanding, Vol. 84, No. 3, pp. 384-406, Dec. 2001.[Impact factor 1.89][Citations:48][GS:83]

7. H. Greenspan, G. Oz (S), N. Kiryati (C) and S. Peled (CC),“MRI inter-slice reconstruction using super-resolution”,Magnetic Resonance Imaging, Vol. 20, No. 5, pp. 437-446, June 2002.[Impact factor 2.7][Citations:61][GS:121]

8. H. Greenspan, C. Rothmann (C), T. Cycowitz, Y. Nissan (S), A. Cohen and Z.Malik (CC),“Classification of Lymphoproliferative Disorders by Spectral Imaging of the Nu-cleus”,Journal of Histology and Histopathology, Vol. 17, No. 3, pp. 767-73, July 2002.[Impact factor 2.5][Citations:5][GS:6]

9. C. Carson, S. Belongie, H. Greenspan and J. Malik,“Blobworld: Image Segmentation using Expectation-Maximization and its Appli-

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cation to Image Querying”,IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-PAMI),Vol. 24, No. 8, pp. 1026-1038, August 2002.[Impact factor 6.0][Citations:577][GS:1300]

10. H. Greenspan, G. Dvir (S), Y. Rubner (C),“Context Dependent Segmentation and Matching in Image Databases,”Journal of Computer Vision and Image Understanding (CVIU), online publication:October 2003; printed version: Vol 93, pp. 86-109, January 2004.[Impact factor 1.89][Citations:22]

11. H. Greenspan, J. Goldberger (C) and A. Mayer (S),“Probabilistic Space-Time Video Modeling via Piecewise GMM”,IEEE Pattern Analysis and Machine Intelligence (IEEE-PAMI), Vol. 26, No. 3,pp. 384-396, March 2004.[Impact factor 6.0][Citations:68][GS:135]

12. S. Trattner (S), H. Greenspan, G. Tepper and S. Abboud,“Automatic Identification of Bacterial Types using Statistical Imaging Methods,”IEEE Trans on Medical Imaging (IEEE-TMI), Vol 23, No. 7, pp. 807-820, July2004.[Impact factor 4.0][Citations:5][GS:11]

13. H. Greenspan, O. Shechner, M. Scheinowitz and MS. Feinberg,“Doppler echocardiography flow-velocity image analysis for patients with atrial fib-rillation,”Ultrasound in Medicine and Biology Vol. 31, No. 8, pp. 1031-1040, August 2005.[Impact factor 2.4][Citations:6][GS:7]

14. J. Goldberger (C), S. Gordon (S) and H. Greenspan,“Unsupervised Image-Set Clustering Using an Information Theoretic Framework,”IEEE Trans on Image Processing (IEEE-IP), Vol. 15, No. 2, pp.449-458, February2006.[Impact factor 3.3][Citations:35][GS:89]

15. J. Goldberger (C) and H. Greenspan,“Context-based Segmentation of Image Sequences,”IEEE Trans on Pattern Analysis and Machine Intelligence (IEEE-PAMI), Vol. 28,No. 3, pp. 463-468, March 2006.[Impact factor 6.0][Citations:20][GS:31]

16. H. Greenspan, A. Ruf (S) and J. Goldberger (C),“Constrained Gaussian Mixture Model Framework for Automatic Segmentation ofMR Brain Images,”IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 25, No. 9, pp. 1233 - 1245,September 2006.[Impact factor 4.0][Citations:58][GS:121]

17. H. Greenspan and A. Pinhas (S),“Medical Image Categorization and Retrieval for PACS using the GMM-KL frame-work,”IEEE Transactions on Information Technology in BioMedicine, Vol. 11, No. 2, pp.190-202, March 2007.[Impact factor 2.0][Citations:43][GS:117]

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18. J. Goldberger (C), H. Greenspan and J. Dreyfuss (S),“Simplifying Mixture Models using the Unscented Transform,”IEEE Trans on Pattern Analysis and Machine Intelligence (IEEE-PAMI), Vol. 30,No. 8, pp. 1496 - 1502, Aug. 2008[Impact factor 6.0][Citations:12][GS:24]

19. H. Greenspan,“Super Resolution in Medical Imaging,” Special issue on ”Super-Resolution inImaging and Video”Computer Journal, Oxford University Press, Rafael Molina and Aggelos Katsagge-los guest editors. Vol. 52, No. 1, pp. 43-63, January 2009.[Impact factor 1.36][Citations:26][GS:61]

20. H. Greenspan,“Revisiting the feature and content gap for landmark-based and image-to-imageretrieval in medical CBIR,”International Journal of Healthcare Information Systems and Informatics (IJHISI),Vol. 4, No. 1, pp. 68-87, 2009.

21. H. Greenspan, S. Gordon (S), G. Zimmerman (S), J. Jeronimo (CC), S. Antani(CC) and R. Long, (CC)“Automatic detection of anatomical landmarks in uterine cervix images”,IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 28, No. 3, pp. 454-468, March2009.[Impact factor 4.0][Citations:8][GS:18]

22. S. Gordon (S), S. Lotenberg (S), R. Long (CC), S. Antani (CC), J. Jeronimo (CC)and H. Greenspan,“Evaluation of uterine cervix segmentations using ground truth from multiple ex-perts”,Journal of Computerized medical imaging and graphics, Vol. 33, No. 3, pp. 205-216, April 2009.[Impact factor 1.1][Citations:3][GS:7]

23. S. Trattner (S), M. Feigin (CC), H. Greenspan and N. Sochen (C),“A validity criterion for the Born approximation convergence in (DIC) microscopyimaging”,Journal of the Optical Society of America A, Vol. 26, No. 5, pp. 1147-1156, May2009.[Impact factor 1.93][Citations:6]

24. S. Lotenberg (S) , S. Gordon (S) and H. Greenspan,“Shape Priors for Segmentation of the Cervix Region within Uterine Cervix Im-ages,”Journal of Digital Imaging (JDI), Vol. 22, No. 3, pp. 286-296, June 2009.[Impact factor 1.42][Citations:3]

25. A. Mayer (S) and H. Greenspan,“An adaptive mean-shift framework for MRI brain segmentation,”IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 28, No. 8, pp. 1238-1250,August 2009.[Impact factor 4.0][Citations:14][GS:50]

26. O. Freifeld (S), H. Greenspan and J Goldberger (C),“Multiple Sclerosis Lesion Detection Using Constrained GMM and Curve Evolu-

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tion”,International Journal of Biomedical Imaging, vol. 2009, Article ID 715124, 13pages, 2009.[Citations:5][GS:20]

27. O. Zvitia (S), A. Mayer (S), R. Shadmi (S), S. Miron (CC) and H. Greenspan,“Co-registration of White Matter Tractographies by Adaptive-Mean-Shift and Gaus-sian Mixture Modeling”,IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 29, No. 1, pp. 132-145, Jan-uary 2010.[Impact factor 4.0][Citations:3][GS:13]

28. A. Alush (S), H. Greenspan and J. Goldberger (C),“Automated and interactive lesion detection and segmentation in Uterine cerviximages,”IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 29. No. 2, pp. 488-501,February 2010.[Impact factor 4.0][Citations:3][GS:6]

29. S. Napel (C), C.F. Beaulieu (CC), C. Rodriguez , J. Cui , J. Xu , A. Gupta , D.Korenblum , H. Greenspan, Y. Ma, D.L. Rubin (CC),“Automated Retrieval of CT Images of Liver Lesions Based on Image Similarity:Method and Preliminary Results,”Radiology, Vol. 256, No. 1, pp. 243-252, July 2010.[Impact factor 6.0][Citations:23][GS:41]

30. S. Gordon (S) and H. Greenspan,“An agglomerative segmentation framework for non-convex regions within uterinecervix images”,Journal of Image and Vision Computing, Vol. 28, No. 12, pp. 1682-1701, December2010.[Impact factor 1.525][Citations:1][GS:2]

31. A. Mayer (S) , G. Zimmerman-Moreno (S), R. Shadmi (S), A. Batikoff (S) andH. Greenspan,“A supervised framework for the registration and segmentation of white matterfiber tracts,”IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 30, No. 1, pp. 131-145, January2011[Impact factor 4.0][Citations:1][GS:4]

32. U. Avni (S), H. Greenspan, E. Konen (CC), M. Sharon (CC), and J. Goldberger(C),“X-ray Categorization and Retrieval on the Organ and Pathology Level, UsingPatch-Based Visual Words”,IEEE Trans on Medical Imaging (IEEE-TMI), Vol. 30, No. 3, pp. 733 - 746, March2011.[Impact factor 4.0][Citations:15][GS:39]

33. C.B. Akgul , D.L. Rubin (CC), S. Napel (C), C.F. Beaulieu (CC), H. Greenspan,B. Acar (C),“Content Based Image Retrieval in Radiology: Current Status and Future Direc-tions,”

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Journal of Digital Imaging, Vol. 24, No. 2, pp.208-222, April 2011.[Impact factor 1.42][Citations:24][GS:79]

34. J. Xu , H. Greenspan, S. Napel (C), D. L. Rubin (CC),“Automated Temporal Tracking and Segmentation of Lymphoma on serial CT Ex-aminations,”Medical Physics, Vol. 38, No. 11, pp. 5879-5887, October 2011.[Impact factor 3.07][[Citations: 3 ][GS:4]

35. J. Xu, S. Napel (C), H. Greenspan, C. F. Beaulieu (CC), N. Agrawal, D.L. Rubin(CC),“Quantifying the margin sharpness of lesions on radiological images for content-based image retrieval,”Med Physics, Vol. 39, No. 9, pp. 5405-5418, September 2012.[Impact factor 3.07][GS:2]

(S): Student in Greenspan Lab; (C): Collaborator; (CC): Clinical Collabo-rator

Citations: from Web of Science - Thomson ReutersSum of the Times Cited:1274; h-index 16

GS: Citations via Google Scholar“http://scholar.google.com/citations?user=qgNwIbYAAAAJ”:h-index 34; i10-index 63

BOOK EDITOR

• Title: Medical Content-Based Retrieval for Clinical Decision SupportSeries: Lecture Notes in Computer Science, Vol. 7075, 2012Editors: H. Muller, H. Greenspan, T. Syda-Mahmood.ISBN: 978-3642284595

• Title: Medical Content-Based Retrieval for Clinical Decision SupportSeries: Lecture Notes in Computer Science, Vol. 7723, 2013Editors: H. Greenspan, H. Muller, T. Syeda-MahmoodISBN: 978-3-642-36677-2 (Print) 978-3-642-36678-9 (Online)

CHAPTERS IN BOOKS

1. H. Greenspan, R. Goodman and R. Chellappa,“Combined Neural Network and Rule-Based Framework for Probabilistic Pattern

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Recognition and Discovery,”In J. E. Moody, S. J. Hanson, and R. P. Lippman (eds.), Advances in NeuralInformation Processing Systems 4, 444-452, San Mateo, CA: Morgan KaufmannPublishers, 1992.

2. H. Greenspan and R. Goodman,“Remote Sensing Image Analysis via a Texture Classification Neural Network,”in C. L. Giles, S. J. Hanson, and J. D. Cowan (eds.), Advances in Neural InformationProcessing Systems 5, 425-432, San Mateo, CA: Morgan Kaufmann Publishers,1993.

3. H. Greenspan,“Non-parametric Texture Learning,”Published in Early Visual Learning, Shree Nayar and Tommy Poggio eds., OxfordUniversity Press, pp. 299-328, 1996.

4. H. Greenspan and T. Syeda-Mahmood,“Segmentation using Statistical methods,”in Recent Advances in Biomedical Image Processing and Analysis, Springer-Verlag,Berlin, 2011.

5. D. L. Rubin, H. Greenspan, and J. F. Brinkley,Chapter 9: ”Biomedical Imaging Informatics,”in Biomedical Informatics: Computer Applications in Health Care andBiomedicine (Health Informatics) [Hardcover] Edward H. Shortliffe (Ed-itor), James J. Cimino (Editor), 4th Edition, Springer, 2012.

GUEST EDITORIAL

T. Deserno, RWTH Aachen University, Germany, R. Long, National Library ofMedicine, NIH, USA H. Greenspan, Tel Aviv University, Israel,“Content-Based Image Retrieval: Major Challenges for Biomedical Applications”,International Journal of Healthcare Information Systems and Informatics (IJHISI),Vol. 4, No. 1, 3 pages, 2009.

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PAPERS PRESENTED AT SCIENTIFIC MEETINGS

1. H. Greenspan, R. Goodman and R. Chellappa,“Texture Analysis via Unsupervised and Supervised Learning,”Proceedings of the 1991 International Joint Conference on Neural Networks (IJCNN’91),639-644, 1991. [GS Citations:29]

2. (*) H. Greenspan, S. Belongie, P. Perona, R. Goodman, S. Rakshit and C. Ander-son,“Overcomplete Steerable Pyramid Filters and Rotation Invariance,”Proceedings of the IEEE Conference on Computer Vision and Pattern recognition(CVPR’94), Seattle, Washington, pp. 222-228, June 1994. [Citations:36][GS Cita-tions:213]

3. (*) H. Greenspan, S. Belongie, P. Perona and R. Goodman,“Rotation Invariant Texture Recognition Using a Steerable Pyramid,”Proceedings of the 12th IEEE International Conference on Pattern Recognition(ICPR’94), Jerusalem, Israel, pp. 162-167, October 1994.[Citations:12][GS Cita-tions:110]

4. H. Greenspan and C. H. Anderson,“Image enhancement via non linear extrapolation in frequency space,”SPIE, Vol. 2182, pp. 2-13, 1994.[Citations:20] [GS Citations:36]

5. H. Greenspan and S. Akber,“Nonlinear Edge Enhancement,”Proceedings of the IEEE International Conference on Image Processing (ICIP’95),pp. 179-182, October 1995.

6. (*) D. Forsyth, J. Malik, M. Fleck, H. Greenspan, T. Leung, S. Belongie, C. Carsonand C. Bregler,“Finding Pictures of Objects in Large Collections of Images,”Proceedings of International workshop on object representation for computer vision(ECCV’96), pp. 335-360, April 1996. [GS Citations:167]

7. J. Malik, D. Forsyth, M. Fleck, H. Greenspan, T. Leung, C. Carson, S. Belongie,and C. Bregler,“Finding objects in image databases by grouping,”Proceedings of the 1996 IEEE International Conference on Image Processing (ICIP’96),pp. 761-764, October 1996.

8. (*) C. Carson, S. Belongie, H. Greenspan and J. Malik,“Region-based Image Querying,”Proceedings of the IEEE Workshop on Content-based Access of Image and VideoLibraries (CVPR’97), pp. 42-49, Puerto-Rico, June 1997. [Citations:55][GS Cita-tions:350]

9. P. Keaton, H. Greenspan and R. Goodman,“Keyword Spotting for Cursive Document Retrieval,”Proceedings of the IEEE Workshop on Document Image Analysis (CVPR’97), pp.74-81, Puerto-Rico, June 1997.

10. (*) S. Belongie, C. Carson, H. Greenspan and J. Malik,“Color and Texture-based image segmentation using EM and its application to

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content-based image retrieval,”Proceedings of the Sixth IEEE International Conference on Computer Vision, (ICCV’98),pp. 675-682, January 1998.[Citations:12][GS Citations:537]

11. M. Laifenfeld, H. Greenspan and O. Barnea,“Lumen Centerline Estimation as a function of Coronary Geomteric Complexity,”Proceedings of the First joint meeting of BMES and EMBS, Atlanta, GA, October1999.

12. M. Laifenfeld, H. Greenspan and O. Barnea,“Lumen Centerline Detection in Coronary Angiograms,”ISMBE Annual meeting of the Israel Society on Medical and Biological EngineeringTechnion, Israel, February 2000.

13. H. Greenspan, G. Dvir and Y. Rubner,“Region Correspondence for Image Matching via EMD Flow,”Oral presentation in IEEE workshop on Content-based Access of Image and VideoLibraries, June 2000. [GS Citations:38]

14. (*) H. Greenspan, G. Oz, N. Kiryati and S. Peled,“MRI Inter-Slice Reconstruction using Super-resolution,”Medical Image Computing and Computer-Assisted Intervention (MICCAI), Octo-ber 2001.

15. (*) H. Greenspan, J. Goldberger and A. Mayer,“A Probabilistic Framework for Spatio-Temporal Video Representation & Index-ing,”IEEE European Conference on Computer Vision (ECCV’02), Vol. IV, pp. 461-475,2002. [GS Citations:77]

16. H. Greenspan, G. Oz, N. Kiryati and S. Peled,“Superresolution in MRI,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonD.C., July 2002.

17. H. Greenspan, S. Gordon and J. Goldberger,“Probabilistic models for generating, modelling and matching image categories,”International Conference on Pattern Recognition (ICPR’02), Quebec, August 2002.

18. G. Dvir, H. Greenspan, and Y. Rubner,“Context-Based Image Modelling,”International Conference on Pattern Recognition (ICPR’02), Quebec, August 2002.

19. J. Goldberger, H. Greenspan, S. Gordon,“Unsupervised Image Clustering using the Information Bottleneck Method,”The annual symposium for Pattern Recognition of the DAGM02 , Zurich, September2002. [GS Citations:45]

20. (*) S. Gordon, H. Greenspan, J. Goldberger,“Applying the Information Bottleneck Principle to Unsupervised Clustering of Dis-crete and Continuous Image Representations,”Oral presentation in the International Conference on Computer Vision (ICCV-03),Nice, France, 2003.[Citations:8][GS Citations:68]

21. (*) S. Gordon, J. Goldberger, H. Greenspan“An Efficient Image Similarity Measure Based on Approximations of KL-DivergenceBetween Two Gaussian Mixtures,”

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International Conference on Computer Vision (ICCV-03), Nice, France, 2003.[Ci-tations:21][GS Citations:201]

22. S. Trattner, H. Greenspan, G. Teper, S. Abboud,“Automatic Identification of Bacterial Types Using Statistical Imaging Methods,”Posters exhibition, ISMBE Annual Conference, Tel Aviv, Israel, Jan 2003. *Wonthe first prize in posters competition

23. S. Trattner, H. Greenspan, G. Teper, S. Abboud,“Automatic Identification of Bacterial Types Using Statistical Imaging Methods”,Proceedings of SPIE International Symposium on Medical Imaging, San Diego,USA, Feb. 2003.

24. Hayit Greenspan, Arnaldo Mayer and Allon Shahar,“A Probabilistic Framework for the Spatio-Temporal Segmentation of Multiple Scle-rosis Lesions in MR Images of the Brain,”Proceedings of SPIE International Symposium on Medical Imaging, San Diego,USA, Feb. 2003.

25. (*) Allon Shahar and Hayit Greenspan,“A Probabilistic Framework for the detection and tracking in time of multiplesclerosis lesions,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonDC, 2004.

26. (*) Oron Shechner, Mickey Scheinowitz, Micha S. Feinberg, Hayit Greenspan,“Image analysis of Doppler Echocardiography for patients with atrial fibrillation,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonDC, 2004.

27. Sigal Trattner, Hayit Greenspan, Gabi Tepper, Shimon Abboud,“Statistical Imaging for Modeling and Identification of Bacterial Types ,”Computer Vision in Medical Applications workshop, ECCV,Prague, 2004.

28. Shiri Gordon, Gali Zimmerman and Hayit Greenspan,“Image Segmentation of Uterine Cervix Images for Indexing in PACS,”Proceedings of the Seventeenth IEEE Symposium on Computer-Based Medical Sys-tems (IEEE-CBMS),pp. 298-303, Bethesda, Maryland, June 2004. [GS Cita-tions:37]

29. (*) A. Ruf, H. Greenspan, and J. Goldberger,“Tissue Classification of Noisy MR Brain Image Using Constrained GMM,”Medical Image Computing and Computer-Assisted Intervention (MICCAI), Octo-ber 2005

30. G. Zimmerman and H. Greenspan,“Automatic Detection of Specular Reflections in Uterine Cervix Images”Proceedings of SPIE International Symposium on Medical Imaging, San Diego,USA, Feb. 2006.

31. S. Gordon , G. Zimmerman, R. Long, J. Jeronimo and H. Greenspan,“Content Analysis of Uterine Cervix Images: Initial steps towards Content BasedIndexing and Retrieval of Cervigrams”Proceedings of SPIE International Symposium on Medical Imaging, San Diego,USA, Feb. 2006.

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32. (*) A. Mayer, H. Greenspan,“Segmentation of brain MRI by adaptive mean shift,”IEEE International Symposium on Biomedical Imaging - oral presentation (IEEE-ISBI), Washington DC, April 2006.

33. (*) G. Zimmerman, S. Gordon and H. Greenspan,“Automatic Landmark Detection in Uterine Cervix Images for Indexing in a Content-retrieval System,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonDC, April 2006.

34. H. Dvir, S. Gordon and H. Greenspan,“Illumination correction for content analysis in uterine cervix images”IEEE Workshop on Mathematical Methods in Biomedical Image Analysis (MM-BIA), CVPR, New-York, June 2006.

35. Y. Wolff , S. Miron , A. Achiron and H. Greenspan,“Improved CSF classification and lesion detection in MR brain images with MultipleSclerosis,”SPIE Medical Imaging, Feb. 2007.

36. Michael Berezansky, Daniel Cohen - Or, O. Eitan and H. Greenspan,“Segmentation and Tracking of Human Sperm Cells using Spatio-Temporal Repre-sentation and Clustering,”SPIE Medical Imaging, Feb. 2007.

37. S. Lottenberg, S. Gordon, R. Long, S. Antani, J. Jeronimo and H. Greenspan,“Automatic Evaluation of Uterine Cervix Segmentations,”SPIE Medical Imaging, Feb. 2007.

38. (*) O. Freifeld, H. Greenspan and J. Goldberger,“Lesion Detection in Noisy MR Brain Images using Constrained GMM,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonDC, April 2007.

39. (*) S. Gordon and H. Greenspan,“Segmentation of non-convex regions within uterine cervix images,”IEEE International Symposium on Biomedical Imaging (IEEE-ISBI), WashingtonDC, April 2007.

40. (*) O. Rotem, H. Greenspan and J. Goldberger.“Combining Region and Edge Cues for Image Segmentation,”Proceedings of IEEE Computer Vision and Pattern Recognition conference (IEEE-CVPR), June 2007.

41. (*) J. Dreifus, H. Greenspan and J. Goldberger.“An optimal Reduced Representation of a MoG with Applications to Medical ImageDatabase Classification,”Proceedings of IEEE Computer Vision and Pattern Recognition conference (IEEE-CVPR), June 2007.

42. S. Trattner, M. Feigin, H. Greenspan and N. Sochen,“The Born approximation for round and cubical objects in DIC microscopy imag-ing,”in Microscoic Image Analysis with Applications in Biology, 2nd Workshop, NJ, NY,USA, September 2007.

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43. S. Trattner, M. Feigin, H. Greenspan and N. Sochen,“Can Born Approximate the Unborn? A New Validity Criterion for the BornApproximation in Microscopic Imaging,”MMBIA 2007: IEEE Computer Society Workshop on Mathematical Methods inBiomedical Image Analysis, in conjunction with ICCV 2007, Rio de Janeiro, Brazil,October 2007.

44. (*) A.Mayer and H.Greenspan,“Direct Registration of White Matter Tractographies with Application to AtlasConstruction,”Miccai Workshop :”Statistical Registration: Pair-wise and group-wise Alignmentand Atlas Formation”, Medical Image Computing and Computer-Assisted Inter-vention (MICCAI), Brisbane, Australia, November 2007.

45. A.Mayer and H.Greenspan,“The iterative closest fiber algorithm for direct registration of white matter trac-tographies,”SPIE Medical Imaging 2008.

46. O. Zvitia, A. Mayer and H. Greenspan,“White Matter Tractographies Registration Using Gaussian Mixture Modeling,”SPIE Medical Imaging, 2008.

47. S. Trattner, M. Feigin, H. Greenspan and N. Sochen,“DIC microscopic imaging of living cells Error analysis of Born approximation,”In Proceedings of 3rd Workshop on Microsopic Image Analysis with Applicationsin Biology ,in conjunction with MICCAI08, NY, US, 2008.

48. A. Mayer, G. Zimmerman-Moreno and H. Greenspan,“Evaluation of Classification Trees for Fast Segmentation of White Matter FiberTracts,”Workshop on ”Computational Diffusion MRI”, Medical Image Computing and Computer-Assisted Intervention (MICCAI), NY, September 2008.

49. (*) A. Ben-Ezra, H. Greenspan and Y. Rubner,“Regularized Super-resolution of Brain MRI,”IEEE International Symposium on Biomedical Imaging: From Nano to Macro(IEEE-ISBI), June 2009.

50. (*) U. Avni, H. Greenspan, M. Sharon, E Konen and J. Goldberger,“X-ray image Categorization and retrieval using patch-based visual words repre-sentation,”IEEE International Symposium on Biomedical Imaging: From Nano to Macro(IEEE-ISBI), June 2009.

51. (*) A. Alush, H. Greenspan and J. Goldberger,“Lesion detection and segmentation in uterine cervix images using an arc-levelMRF,”IEEE International Symposium on Biomedical Imaging: From Nano to Macro(ISBI), June 2009.

52. T. Syeda-Mahmood, S Adelman, J. Terdiman, A Hobbs, M London, A Amir,H Greenspan, D Gruhl,“Finding Cardiac Disease Correlations through Time-Varying Disease Modeling forDecision Support,”in Proc. Computers in Cardiology (CinC), Sept. 2009.

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53. A. Gupta, S. Napel, H. Greenspan, C. F. Beaulieu, D. L. Rubin,“Quantifying Margin Characteristics of Lesions from CT Images for Content BasedImage Retrieval,”Radiological Society of North America 95th Scientific Sessions, November 2009.

54. U. Avni, J. Goldberger, M. Sharon, E. Konen, H. Greenspan,“Chest X-ray Characterization: From Organ identification to Pathology Catego-rization,”Invited session on Medical Image Retrieval, Proc. ACM Multimedia InformationRetrieval Conference (MIR), March 2010.

55. (*) R. Shadmi, A. Mayer, N. Sochen and H. Greenspan,“Piecewise Smooth Affine Registration of Point-Sets with Application to DT-MRIBrain Fiber-Data”,oral presentation, IEEE International Symposium on Biomedical Imaging: FromNano to Macro (IEEE-ISBI), April 2010.

56. (*) T. Syeda-Mahmood, P.Turaga, D. Beymer, F. Wang, A. Amir, H. Greenspan,K. Pohl,“Shape-based Similarity Retrieval of Doppler Images for Clinical Decision Support,”in IEEE Computer Vision and Pattern Recognition Conference (CVPR), June 2010.

57. S. Napel, C.F. Beaulieu, J. Faruque, C. Rodriguez, D. Korenblum, J. Cui, J. Xu,A. Gupta, H. Greenspan, G. Tye, D.L. Rubin,“Content-based Image Retrieval: Portal Venous CT of Liver Lesions,”SIIM, June 2010.

58. U. Avni, H. Greenspan, E. Konen, M. Sharon, J. Goldberger,“System for pathology categorization and retrieval in chest radiographs,”in SPIE Medical Imaging, February 2011.

59. (*) F. Wang, Y. Zhang, H. Greenspan, T. Syeda-Mahmood, D. Beymer,“Automatic classification of images of an Angiography sequence using modifiedshape context-based spatial pyramid kernels,”oral presentation, IEEE International Symposium on Biomedical Imaging: FromNano to Macro (IEEE- ISBI), April 2011.

60. F. Wang, Y. Zhang, D. Beymer, T. Syeda-Mahmood, H. Greenspan,“Pyramid Histograms of Motion Context with Application to Angiogram VideoClassification,”oral presentation in Functional Imaging and Modeling of the Heart (FIMH), May2011.

61. A. Mayer, G. Zimmerman-Moreno, H. Greenspan,“Model-Based Segmentation of Probabilistic Tractographies: An Application to theOptic Radiation Tract,”ISMRM Workshop on Mapping Functional Networks for Brain Surgery, Milan,Italy, September 2011.

62. (*) U. Avni, H. Greenspan, J. Goldberger,“X-ray categorization and Spatial Localization of Chest Pathologies,”Medical Image Computing and Computer-Assisted Intervention (MICCAI), Toronto,September 2011

63. J. Xu, H. Greenspan, S. Napel, D. L. Rubin,“Automated Temporal Tracking And Segmentation Of Lymphoma On Serial Ct

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Examinations,”Radiological Society of North America 97th Scientific Sessions, November 2011.

64. R. Pasari, H. Greenspan, D. Rubin,“Liver Lesion Classification Using Patch-Based Visual Words: Method and Prelim-inary Results,”Radiological Society of North America 97th Scientific Sessions, November 2011.

65. M. Safdari, R. Pasari, D. Rubin, H. Greenspan,” Image patch-based method for automated classification and detection of focalliver lesions on CT,”SPIE Medical Imaging, February 2013

66. I. Diamant, J. Goldberger, H. Greenspan,”Visual words based approach for tissue classification in mammograms,”SPIE Medical Imaging, February 2013

67. G. Zimmerman-Moreno, H. Greenspan,”Whole Brain Fiber Based Comparison with Application to Amyotrophic Lat-eral Sclerosis,” MICCAI workshop on Computational Diffusion MRI (CDMRI’13),Nagoya, Japan, September 2013

68. A. Ben Cohen, I. Diamant, E. Klang, M. Amitai, H. Greenspan,”Automatic detection and segmentation of liver metastatic lesions on serial CTexaminations,”SPIE Medical Imaging, February 2014

69. Y. Doron, N. Mayer-Wolf, I. Diamant, H. Greenspan,”Texture Feature based Liver Lesion Classification,”SPIE Medical Imaging, February 2014

70. M. Asherov, I. Diamant, H. Greenspan,”Lung Texture Classification Using Bag of Visual Words,”SPIE Medical Imaging, February 2014

(*) IEEE conferences that include a double blind review of full paper-length submissions:< 25% acceptance rate .

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