Tammy Riklin Raviv, PhD

Research fellow
Harvard Medical School, Brigham and Women's Hospital,
Psychiatry Neuroimaging Laboratory
Research affiliate
CSAIL, MIT
and
The Broad Institute of MIT and Harvard

Contact
1249 Boylston st.
Boston, MA 02115
+1-617-525-1058

Curriculum Vitae

Research Interests
Medical Imaging Analysis, Computer Vision, Image Processing, Machine Learning

Postdoc
Medical Vision Group, CSAIL, MIT
with Prof. Polina Golland
PhD
Prior based Image Segmentation
The School of Electrical Engineering, Tel-Aviv University
with Prof. Nahum Kiryati
M.Sc.
The Quotient Image:Class based Recognition and Synthesis Under Varying Illumination Conditions
Computer Science, The Hebrew University of Jerusalem
with Prof. Amnon Shashua

Publications

Journal Papers
New! C. W"ahlby, L. Kamentsky , Z. H. Liu , T. Riklin-Raviv, A. L. Conery , E. J. ORourke, K. L. Sokolnicki , O. Visvikis , V. Ljosa , J. E. Irazoqui , P. Golland, G. Ruvkun, F. M. Ausubel and A. E. Carpenter An Image Analysis Toolbox for High-throughput C. Elegans Assays.
NATURE METHODS, April 2012 vol. 9 pp 627-763, July 2012.

T. Riklin Raviv, K. Van-Leemput, B. Menze, W.M. Wells III and P. Golland Segmentation of Image Ensambles via Latent Atlases.
Special Issue on the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) 2009. Medical Image Analysis (MedIA), Vol. 14(5) pp 654-665, October 2010.

T. Riklin Raviv, N. Sochen and N. Kiryati On Symmetry, Perspectivity and Level-set based Segmentation.
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 31(8) pp 1458--1471, August 2009

T. Riklin Raviv, N. Sochen and N. Kiryati Shape-based Mutual Segmentation.
International Journal of Computer Vision (IJCV), 79(3) pp 231--245, September 2008

T. Riklin Raviv, N. Kiryati and N. Sochen Prior-based Segmentation and Shape Registration in the Presence of Projective Distortion.
International Journal of Computer Vision (IJCV), 72(3), pp 309--328, May 2007

A. Shashua and T. Riklin Raviv The Quotient Image: Class Based Re-rendering and Recognition with Varying Illuminations.
IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 23(2), pp. 129--139, February 2001

Peer Reviewed Conference Papers
T. Riklin-Raviv, Y. Gao, J. Levitt and S. Bouix Statistical Shape Analysis for Population Studies via Level-set based Shape Morphing.
ECCV workshop on Non-Rigid Shape Analysis and Deformable Image Alignment (NORDIA), accepted

E. Dittrich, T. Riklin-Raviv, G. Kasprian, P. Brugger, D. Prayer and G. Langs Learning a Spatio-temporal Latent Atlas for Fetal Brain Segmentation.
MICCAI workshop: Image Analysis of Human Brain Development, September 2011

T. Riklin-Raviv, V. Ljosa, A. L. Conery, F. M. Ausubel, A.E. Carpenter, P. Golland and C. W"ahlby Morphology-Guided Graph Search for Untangling Objects: C. Elegans Analysis
International Conference of Medical Image computing and Computer Assisted Intervention (MICCAI), pp. 634-641, September 2010

C. W"ahlby, T. Riklin-Raviv, V. Ljosa, A. L. Conery, P. Golland, F. M. Ausubel and A. E. Carpenter Resolving Clustered Worms via Probabilistic Shape Models
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), April 2010

T. Riklin Raviv, K. Van-Leemput, W.M. Wells III and P. Golland Joint Segmentation of Image Ensambles via Latent Atlases.
International Conference of Medical Image computing and Computer Assisted Intervention (MICCAI), Part I, LNCS 5761, pp 272--280, September 2009. Received the MICCAI-09 Young Scientist Award.

T. Riklin Raviv, B.M. Menze, K. Van-Leemput, B. Stieltjes, M.A. Weber, N. Ayache, W.M. Wells III and P. Golland Joint Segmentation via Patient-Specific Latent Anatomy Model.
MICCAI workshop: Probabilistic Models for Medical Imaging Analysis (PMMIA), September 2009

N. Ben-Zadok, T. Riklin Raviv and N. Kiryati Interactive Level Set Segmentation for Image-guided Therapy
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp 1079--1082, June 2009

N. Kiryati, T. Riklin Raviv, Y. Ivanchenko, S. Rochel Real-time Abnormal Motion Detection in Surveillance Video.
International Conference on Pattern Recognition (ICPR), December 2008

T. Riklin Raviv, N. Kiryati, N. Sochen, N. Ben-Zadok, S. Gefen, L. Bertand and J. Nissanov Propagating Distributions for Segmentation of Brain Atlas.
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pp 1304--1307, April 2007

T. Riklin Raviv, N. Kiryati and N. Sochen Segmentation by Level sets and Symmetry.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp 1015--1022, New York, June 200

T. Riklin Raviv, N. Sochen and N. Kiryati Mutual Segmentation with Level Sets.
The 5th IEEE Workshop on Perceptual Organization in Computer Vision, in conjunction with the CVPR, New York, June 2006

T. Riklin Raviv, N. Kiryati and N. Sochen Prior-based Segmentation by Projective Registration and Level sets.
IEEE International Conf. on Computer Vision (ICCV), pp 204--211, October 2005.

T. Riklin Raviv, N. Kiryati and N. Sochen Unlevel-Set: Geometry and Prior-based Segmentation.
Proc. of the European Conference on Computer Vision(ECCV), pp.50--61, May 2004

T. Riklin Raviv and A. Shashua The Quotient Image: Class Based Recognition and Synthesis with Varying Illumination Conditions.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), pp.566-571, June 1999

Theses
T. Riklin Raviv Prior based Image Segmentation.

T. Riklin Raviv The Quotient Image: Class Based Re-rendering and Recognition With Varying Illuminations.

Grant
National Institute of Health, NIGMS, grant 1R01 GM095672-01 (20110202-20151231)
Image analysis for high-throughput C. elegans infection and metabolism assays.
Role: Key personnel with PI Carolina Wahlby
This 5-years research grant from NIH was, apart from being funded,
also selected as one out of four exceptional R01 applications, available as sample applications through NIH website

Patent
N. Kiryati, T. Riklin Raviv, Y. Ivanchenko, S. Rochel, Y. Dvir and D. Harari
Apparatus and Methods for the Detection of Abnormal Motion in a Video Stream.
European Patent EP1631073B1

Research
Segmentation of Image Ensembles Via Latent Atlases
Interactive Level-set Segmentation for Image-guided Therapy
Propageting Distributions for Segmentation of Mouse Brain Atlas
Geometry and Prior Based Segmentation with Level-sets
Real-time Abnormal Motion Detection in Surveillance Video
The Quotient Image: Class based Recognition and Synthesis under Varying Illumination Conditions

Impact/Links/Collaborations
C. elegans Analysis
Image analysis for high-throughput C. elegans infection and metabolism assays, NIH, RO1, Sample Application
Segmentation of Image Ensembles Via Latent Atlases
Young Scientist Award, Miccai 2009
A glimpse to google scholar

Presentations
Segmentation of Image Ensembles Via Latent Atlases
Shape-based Segmentation with Level-sets
Real-time Abnormal Motion Detection in Surveillance Video
The Quotient Image:Class based Recognition and Synthesis under Varying Illumination Conditions

Teaching
Introduction to Systems Programming, 2003-2006
Digital Logic Systems 2004-2007
The MVP Seminar 2006-2007

Best Ever Projects