Tammy Riklin Raviv, PhD

[Tammy Riklin Raviv photo]

Senior Lecturer
Electrical and Computer Engineering Department
Ben Gurion University.

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

Contact
[Email]
Location: BGU campus,Building 33, Office 212
Phone:+972-8-6428812
Fax: +972-8-6472949
Address: P.O.Box. 653, Beer-Sheva, 84105, ISRAEL

Curriculum Vitae


Teaching
Introduction to Digital Image Processing
Deep Learning and Its Applications to Signal and Image Processing and Analysis
Introduction to Biomedical Imaging
Magnetic Resonance Imaging
Introduction to Computational Methods

Publications
[Publication]
Journal Papers

A. Benou, R. Veksler, A. Freidman and T. Riklin Raviv, Ensemble of Expert Deep Neural Networks for Spatio-Temporal Denoising of Contrast-Enhanced MRI Sequences,
Medical Image Analysis, Vol. 42, pp. 145-159, 2017.

T. Hershkovich, T. Shalmon, O. Shitrit, N. Halay, B. Menze, I. Dolgopyat, I. Kahn, I. Shelef and T. Riklin Raviv, ,
A probabilistic model for 3D interactive segmentation,

Computer Vision and Image Understanding (CVIU), Special Issue on Probabilistic Models for Biomedical Image Analysis, Vol. 151, pp. 47-60, 2016.

B. Menze, K. Van Leemput, D. Lashkari, T. Riklin-Raviv, E. Geremia, E. Albert, et al. A generative probabilistic model and discriminative extensions for brain lesion segmentation with application to tumor and stroke,
IEEE Transaction on Medical Imaging, Vol. 35 (4), pp. 933-946, 2016.

B. Menze, A. Jakaby, S. Bauery, J. Kalpathy-Cramery, K. Farahaniy, J. Kirbyy, et al, (including T. Riklin Raviv), The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS),
IEEE Transaction on Medical Imaging, Vol. 34(10), pp. 1993-- 2024, Oct. 2015.

T. Riklin-Raviv, Yi Gao, James J. Levitt and S. Bouix Statistical Shape Analysis of Neuroanatomical Structures via Level-set based Shape Morphing.
SIAM Journal on Imaging Sciences, Vol. 7(3), pp. 1645--1668, November 2014.

Y. Gao, T. Riklin-Raviv, and S. Bouix, Shape analysis, a field in need of careful validation,
Human Brain Mapping, Vol. 35 (10), pp. 4965-4978, October 2014.

E. Dittrich, T. Riklin-Raviv, G. Kasprian, P. Brugger, D. Prayer and G. Langs A spatio-temporal latent atlas for semi-supervised learning of fetal brain segmentations and morphological age estimation.
Medical Image Analysis, Vol. 18(1), pp 9-21, Jan. 2014.

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 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

O. Shitrit and T. Riklin Raviv, Accelerated Magnetic Resonance Imaging by Adversarial Neural Network,
MICCAI workshop on Deep Learning in Medical Image Analysis (DLMIA), pp 30-38, September 2017.

B. Kodner, S.H. Gordon, J. Goldberger and T. Riklin Raviv, Atlas of Classifiers for Brain MRI Segmentation,
MICCAI workshop on Machine Learning in Medical Imaging (MLMI), pp 36-44, September 2017.

I. Benou, A. Friedman and T. Riklin Raviv, Fiber-Flux Diffusion Density for White Matter Tracts Analysis: Application to Mild Anomalies Localization in Contact Sports Players,
MICCAI Workshop on Computational Diffusion MRI, Accepted, September 2017.

T. Riklin Raviv, Multinomial Level-Set Framework for Multi-Region Image Segmentation,
6th Conference on Scale Space and Variational Methods in Computer Vision (SSVM), pages 386-395, Springer, Cham, June 2017.

A. Benou, R. Veksler, A. Freidman and T. Riklin Raviv, De-noising of Contrast-Enhanced MRI Sequences by an Ensemble of Expert Deep Neural Networks,
MICCAI workshop on Deep Learning in Medical Image Analysis (DLMIA),pages 95-110, October 2016.

S. Gordon, I. Dolgopyat, I. Kahn and T. Riklin Raviv, Co-segmentation of Multiple Images into Multiple Regions: Application to Mouse Brain MRI,
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pages 399-402, April 2016.

A. Arbelle, N. Drayman, M. Bray, U. Alon, A. Carpenter and T. Riklin Raviv
Analysis of High-throughput Microscopy Videos: Catching Up with Cell Dynamics.

International Conference of Medical Image computing and Computer Assisted Intervention (MICCAI), pages 218--225, October 2015

T. Gilad, M.A. Bray, A.E. Carpenter and T. Riklin Raviv Symmetry based mitosis detection in time-lapse microscopy.
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI), pages 164--167, April 2015

O. Shitrit, T. Hershkovitch, T. Shalmon, I. Shelef and T. Riklin Raviv Probabilistic Model for 3D Interactive Segmentation.
MICCAI workshop on Interactive Medical Image Computing (IMIC), September, 2014

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), October, 2012

T. Riklin Raviv, K. Van-Leemput and B.M. Menze Multi-modal brain tumor segmentation via latent atlases.
MICCAI challenge on Multimodal Brain Tumor Segmentation, pp. 64--73, October 2012

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 2006

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

Short papers and abstracts

J. Levitt, Y. Rathi, T. Riklin Raviv, P. G. Nestor, L. Levin, R.W. McCarley and M.E. Shenton, Frontrostriatal dysconnectivity in Schizophrenia
In Schizophrenia bulletin. Vol. 41, pp. 263-263, 2015.

J. Levitt, Y. Rathi, T. Riklin Raviv, R.W. McCarley and M.E. Shenton, DTI Connectivity-Based Parcellation of the Striatum in Schizophrenia.
Biological Psychiatry. Vol. 75, No. 9, pp. 375-375, 2014.

J. Levitt, Y. Rathi, T. Riklin Raviv, R. McCarley, M.E. Shenton, Connectivity-based Parcellation of the Striatum in Schizophrenia Using Diffusion Weighted Imaging (DWI). Neuropsychopharmacology. 39, 221-222, 2014.

T. Riklin Raviv Y. Gao, and S. Bouix Statistical shape analysis with modified Hausdorff distance.
IEEE Engineering in Medicine and Biology Society (EMBS), 2012.

Theses
T. Riklin Raviv Prior based Image Segmentation.

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

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

Demos

Expert DNN Ensemble for DCE-MRI Denoising
Joint Cell Segmentation and Tracking in High-Throuput Microscopy Videos
A Probabilistic Approach to User-interactive Segmentation
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
Statistical Shape Analysis for Population Studies via Level-set Based Shape Morphing
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

Best Ever Projects