דף הבית של משה פורת 

Email: mporat @ ieee.org ,  mp @ technion.ac.il, mp4411 @ gmail.com (mind the gaps) 

URL: https://sites.google.com/view/mp4411/home

Phone: +(972) 526 333-261

Research Work at Technion, Department of Electrical & Computer Engineering

• Signal and Image Processing

• Medical Imaging

• Computer Vision

• Biological Visual and Auditory Systems

• Time-Frequency Representations

• Multimedia Systems

• Image and Video Compression

• E-commerce, E-learning, M-health

• Electronic Circuits

Recent Professional Publications

• Hagai Kirshner and Moshe Porat, "On the Approximation of L2 Inner Products from Sampled Data", IEEE Trans. on Signal Processing, Vol. 55, No. 5, pp. 2136-2144 (2007).

• Evgeny Gershikov, Emilia Lavi-Burlak and Moshe Porat, "Correlation-Based Approach to Color Image Compression", Elsevier Signal Processing: Image Communication, Volume 22, Issue 9, pp. 719-733 (2007).

• Tsvi G. Dvorkind, Hagai Kirshner, Yonina C. Eldar and Moshe Porat, "Minimax Approximation of Representation Coefficients From Generalized Samples", IEEE Trans. on Signal Processing, Volume 55, Issue 9, pp. 4430 - 4443 (2007). 

• Evgeny Gershikov and Moshe Porat, "On Color Transforms and Bit Allocation for Optimal Subband Image Compression", Elsevier Signal Processing: Image Communication, Vol. 22, pp. 1-18 (2007). 

• Yalon Roterman and Moshe Porat, "Color Image Coding using Regional Correlation of Primary Colors", Elsevier Image and Vision Computing, Vol. 25, pp. 637-651 (2007). 

• Shira Nemirovsky and Moshe Porat, "On Texture and Image Interpolation using Markov Models", Elsevier Signal Processing: Image Communication, Volume 24, pp. 139-157 (2009).

• Hagai Kirshner and Moshe Porat, "On the Role of Exponential Splines in Image Interpolation", IEEE Trans. on Image Processing, vol. 18, no.10, pp. 2198-2208 (2009). 

• Micha Kalfon and Moshe Porat, "A New Approach to Texture Recognition using Decorrelation Stretching", IJFCC, Vol. 2, No. 1, pp. 49-53, February 2013. 

• Yaron Kalit and Moshe Porat, "A Single Image Super-Resolution Method for Texture Interpolation", IJFCC, Vol. 2, No. 1, pp. 54-58, February 2013. 

• H. Kirshner, A. Bourquard, J. P. Ward, M.Porat and M. Unser, "Adaptive Image Resizing Based on Continuous-Domain Stochastic Modeling", IEEE Trans. on Image Processing, Vol. 23, No. 1, pp. 413-423, 2014.

• A. Kopaigorodski and M. Porat. "On Signal and Image Reconstruction from Discrete Data", Digital Information and Wireless Communications, Vol 6, No. 1, pp. 46-55, 2016.

• L. Gorodisky, Y. Agmon, M. Porat, S. Abadi and J. Lessick, "Assessment of Mitral Regurgitation by 3-dimensional Proximal Flow Convergence using Magnetic Resonance Imaging: Comparison with Echo-Doppler", Springer Cardiovascular Imaging 34 (5), 793-802, 2018.

• S.Nemirovsky-Rotman, Z.Friedman, D.Fischer, A.Chernihovsky,  K.Sharbel and M.Porat, "Simultaneous Compression and Speckle Reduction of Clinical Breast and Fetal Ultrasound Images Using Rate-Fidelity Optimized Coding", Elsevier Ultrasonics, 110, 106229, 2021.

Earlier Most Cited Technical Publications

• M. Porat and Y.Y. Zeevi, "The generalized Gabor scheme of image representation in biological and machine vision", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 10:44, pp. 452-468, 1988 (paper cited by 665).

• M. Porat and Y.Y. Zeevi, "Localized texture processing in vision: analysis and synthesis in the Gaborian space", IEEE Transactions on Biomedical Engineering (BME) 36:11, 115-129, 1989 (paper cited by 295). Appeared also in the book Neuro-Vision Systems, Gupta and Knopf (Eds) IEEE Press, which contains major works of the 50 years 1943-1993.

• Yuval Eldar, Michael Lindenbaum, Moshe Porat, Yehoshua Y. Zeevi, "The farthest point strategy for progressive image sampling", IEEE Transactions on Image Processing, 1997 (paper cited by 537).

For further details, see my Scholar Page

Recent Technical Conferences

• Rotem Benisty, Faten Haj Ali Shinnawi, Moshe Porat, Anat Ilivitzki and Moti Freiman, "Terminal-Ileum Centerline Extraction from Magnetic Resonance Enterography Data of Crohn's Disease Patients", IEEE EMBS, December 2023.

• Ben Friedmann, Moshe Porat and Yosi Shamay, "Machine Learning for Predicting Drug Administration Routes", ICRS September 2023.

• Moshe Porat, "On early detection of skin cancer using telemedicine", 7th International Conference on Medical & Health Sciences, ISPEC, 2023.

• Beary Fluss, Zvi Friedman and Moshe Porat, "On Ultrasound RF Compression for Remote Medical Imaging", accepted, IEEE International Ultrasonics Symposium (IUS), 2022.

• Sahar Blank, Zvi Friedman and Moshe Porat, "A Novel Computer-Vision Approach to Glaucoma Identification", IEEE Digital Processing of Visual Signals and Applications (DPVSA), 2021.

• Beary Fluss, Zvi Friedman and Moshe Porat, "Adaptive Ultrasound Beamforming Combining Multiplicative Beamforming with Strong Reflectors Separation", IEEE International Ultrasonics Symposium, 2021.

• Shira Nemirovsky-Rotman, Zvi Friedman and Moshe Porat, "SimDeCCom: Simultaneous De-Cluttering and Compression for Real-Time Ultrasound Imaging", IEEE International Ultrasonics Symposium, 2021.

• Shira Nemirovsky-Rotman, Zvi Friedman and Moshe Porat, "Context-Based Coding of Ultrasound Medical Images Using Shape-Adaptive Transform Representations", IEEE International Ultrasonics Symposium, 2021.

• Y Cohen , Z Friedman and M Porat, "Improving Ultrasound Imaging using Strong Reflectors Analysis and Processing",  ISMBE 2020.

• A Falik, M Porat and Z Friedman, "On Real-Time Denoising and Compression of Ultrasound Imaging",  ISMBE 2020.

• S Nemirovsky-Rotman, Z Friedman, R Abdallah, D Fischer and M Porat, " De-Cluttering of Medical Ultrasound Images using Optimally-Compressed RF Data", ISMBE 2020.

• S. Nemirovsky-Rotman, Z Friedman and M Porat, "Simultaneous Compression and De-Speckling of Medical Ultrasound Images", IEEE International Ultrasonics Symposium, 2019.

• O Soceanu, Z Friedman, M Porat, "From unable to enable, how multiplicative beamforming can enable advanced image processing techniques in portable ultrasound devices", IMVC 2019.

• Y Cohen , Z Friedman, M Porat, "On Occlusion Removal in Ultrasound Imaging", IMVC 2019.

• S Nemirovsky-Rotman, Z Friedman, M Porat, "R(D)-Constrained Adaptive Quantization for Coding and De-Noising of Medical Images", IMVC 2019.

• A Falik, M Porat and Z Friedman, "Compression and Speckle Suppression in Ultrasound Imaging ", ISMBE 2019.

• O Soceanu, Z Friedman, M Porat, "Towards Efficient Mobile Ultrasound Systems", ISMBE 2019.

• Y Cohen , Z Friedman, M Porat, "Model-Based Representation can Improve Ultrasound Imaging", ISMBE 2019.

• Shira Nemirovsky-Rotman, Z Friedman, M Porat, "Compression and Enhancement of Medical Ultrasound Images using Optimal Quantization", ISMBE 2019.

• O Soceanu, Z Friedman, M Porat, "Ultrasound imaging: Towards smaller portable systems using signal and image processing tools", ECMP, Physica Medica, 52, 112, 2018. 

• S Nemirovsky-Rotman, M Porat, Z Friedman, "Diagnostically-preserving compression of ultrasound images based on adaptive quantization",  ECMP, Physica Medica, 52, 116, 2018. 

• Ariel Shallom, Hagai Kirshner and Moshe Porat, " Adaptive Reconstruction Along Mobile Sensing Paths", IEEE Statistical Signal Processing Workshop 2018.

• S. Nemirovsky-Rotman, Z. Friedman and M. Porat, "Diagnostically-Preserving Compression of Medical Images based on Shape-Adaptive Transforms", IMVC 2018.

• A. Atias and M. Porat, "A Sweeping Experts Approach to Target Tracking and Acquisition", IMVC 2018.

• A. Goldman, Z. Friedman and M. Porat, "Ultrasound Imaging using Clutter Rejection", ISMBE, 2018.

• S. Nemirovsky-Rotman, Z. Friedman and M. Porat, " A Novel Compression Algorithm for Medical Ultrasound Images based on Shape-Adaptive Transforms and Interpolation Schemes", ISMBE, 2018.

• O. Soceanu, Z. Friedman and M. Porat, "Less Signals, Better Processing Results - Ultrasound Multiplicative Arrays Benefits and Opportunities", ISMBE, 2018.

• M. Porat, "Compression of fluorescence microscopy imaging using inter-component correlation", PS-IWASOM 2017.

• S. Nemirovsky-Rotman, Z. Friedman and M. Porat, "Diagnosis Preserving Compression of Echocardiographic and Fetal Ultrasound Images using Shape-Adaptive Transform Representations", ISMBE, 2017.

• O. Soceanu, M. Porat and Z. Friedman, "Au Contraire: How Element Reduction Can Improve Ultrasound Imaging", ISMBE, 2017.

• A. Goldman, Z. Friedman and M. Porat, "Coherence Based Ultrasonic Detection of Microcalcifications in Breast Imaging", ISMBE, 2017.

• O. Soceanu, Z. Friedman and M. Porat, "Multi-channel Signal Processing in Ultrasound Multiplicative Arrays World", IMVC 2017.

• S. Nemirovsky-Rotman, Z. Friedman and M. Porat, "Diagnostically-Preserving Compression of Ultrasound Cardiac and Fetal Images using Shape-Adaptive Transform Representations", IMVC 2017.

• Y. Hyams and M. Porat, "The effect of image sampling on the Total-Variation flow and applications", IMVC 2017.

• Y. Hyams and M. Porat, "A total variation scale-space and image resizing", IEEE ICSEE, 2016.

• D. Danial, M. Porat and Z. Friedman, "On chirp excitation and compression for ultrasound imaging", IEEE ICSEE, 2016.

• M. Porat, "On e-commerce, e-learning and m-health: Case studies, technological considerations and economic development", BMC 2016.

• S. Nemirovsky-Rotman, Z. Friedman and M. Porat, "On Improved Compression and Enhancement of Medical Images", IMVC 2016.

• Y. Hyams and M. Porat, "A Total variation transform based resizing method", IMVC 2016.

• O. Soceanu, Z. Friedman and M. Porat, "Less is more: Using multiplicative beamforming to produce high resolution ultrasound images with fewer elements", IMVC 2016.

• A. Goldman, Z. Friedman and M. Porat, "A New Approach to Ultrasound Image Compression using Decluttering", ISMBE, 2016.

• Shira Nemirovsky-Rotman, Z. Friedman and M. Porat, "Improved Compression and Enhancement of Ultrasound Images using Markov Models and Multiresolution Decomposition", ISMBE, 2016.

• O. Soceanu, Z. Friedman and M. Porat, "Enhanced Contrast Thinned Array Echocardiography", ISMBE, 2016.

• M. Porat, "On an Efficient Telecommunications Approach to Science and Engineering E-Learning", ICEILT 2015.

• M. Porat, "On Defects Detection in Crystals using Image Processing and Pattern Recognition Tools", ECCG5, 2015.

• A. Kopaigorodski and M. Porat, "From Analog Signals to Digital Information", DIPECC2015.

• G. Rivnai, I. Perlman and M. Porat, "On the Electrical Response of the Retina to Light Stimuli", Physiology 2015, UK.

• M. Porat, L. Gorodisky, Y. Agmon, S. Abadi and J. Lessick,"Quantification of Mitral Regurgitation using Magnetic Resonance Imaging", CCS 2015.

• A. Atias and M. Porat, "On Sweeping Patterns Target Tracking", IMVC 2015.

• D. Danial, M. Porat and Z. Friedman, "On Sparse Chirp Signals in Ultrasound Imaging", ISMBE 2015.

• M. Porat, "On Computer-vision in Ultrasound Imaging", ISMBE 2015.

• R. Pri-Or, Z. Friedman and M. Porat, "Ultrasound De-convolution using a Least Angle Regression Approach", IEEE Convention, Eilat 2014.

• A. Kopaigorodski and M. Porat "On Finite Sampling of Images using Prolate Spheroidal Wave Functions", IMVC 2014.

• L. Gorodisky, J. Lessick and M. Porat, "A Computer Vision Approach to Measuring Cardiac Insufficiency using MRI", IMVC 2014.

• M. Porat, "On fast telecommunication using informational machine-learning technology", International Conference of Science and Technology (invited), Ashgabat, 2014.

• M. Porat, "On Optimized Image Transmission using Nonlinear Analysis", NLA 2014.

• D. Danial, M. Porat and Z. Friedman, "On multi-channel excitation of ultrasound transmission for echo compression", ISMBE 2014.

• L. Gorodisky, M. Porat and J. Lessick, On Mitral Regurgitation, ISMBE 2014.

• R. Pri-or, Z. Friedman and M. Porat, "Ultrasound De-convolution using Least Angle Regression Algorithm", ISMBE 2014.

• D. Sezganov and M. Porat, "A New Approach to Large-Scale Image Recognition for Visual Search Engines", pp. 113-119, IEEE ICUMT 2013.

• E. Braunstain and M. Porat, "On Optimized Color Image Coding using Correlation of Primary Colors", LNCS #8156, pp. 523-531, ICIAP 2013.

• E. Braiman and M. Porat, "The Biomechanics of the Heart as a Diagnostic Tool for Myocardial Infarction using Multiple Hypothesis Tracking", Proceedings of ICMEM, pp. 145-1 - 145-4, 2013.

• M. Porat, "An Information-Based Approach to Video Communication", Ecom & IT 2013.

• M. Porat, "On Multicomponent Signal Analysis using Super-Resolution", pp. 16-20, ICETM 2013.

• Gil Rivnai, Ido Perlman and Moshe Porat, "On the Adaptation Process to Optical Signals of the Retina", ISMBE 2013.

• Lior Gorodisky, Jonathan Lessick and Moshe Porat, "Use of Magnetic Resonance Imaging (MRI) vs. Acoustic Imaging to Assess the Severity of Mitral Regurgitation", IEEE DIPED 2012.

• M. Porat, "A Stochastic Model-Based Approach to Color Image Analysis and Coding", the IX International Conference of Mathematical Physics, September 2012.

• Yaron Kalit and Moshe Porat, "A Single-Image Super-Resolution Method for Texture Interpolation", ICFCC 2012.

• Micha Kalfon and Moshe Porat, "A New Approach to Texture Recognition using Decorrelation Stretching", ICFCC 2012.

• D. Sezganov and M. Porat, "Improving Large-Scale Image Retrieval using Geometric Weighting", the international conference on Machine Learning and Computer Science IMLCS August 2012.

• E. Braiman and M. Porat, "Dynamic Analysis of the Heart Motion for the Diagnosis of Acute Myocardial Infarction", ISDC 2011.

• M. Porat, "Video Coding using a Computational Anticipatory Approach", CASYS 2011.

• Ari Lev-Or and Moshe Porat, "Ultrasound Imaging: Correction of Geometric Distortions using Warping", ICNBME 2011.

• Yair Kerner and Moshe Porat, "An Optimized Compounding Approach to Ultrasound Imaging", ICNBME 2011.

• H. Kirshner, M. Poart and M. Unser, "A Stochastic Minimum-Norm Approach to Image and Texture Interpolation", Eusipco 2010.

• O. Gendler and M. Porat, "On Efficient Quantization for Image Recompression", Eusipco 2010.

• R. Primorac and M. Porat, "A new approach to color video coding using spatio-temporal correlation of primary colors", Eusipco 2010.

• M. Porat, "A Computational Approach to Multimedia Communication Networks", IEEE International Conference on Networking and Information Technology (ICNIT) 2010.

• E. Gershikov and M. Porat, "Towards Optimal Image Coding using Image Interpolation", The IEEE International Conference on Imaging Systems and Techniques (IST) 2010.

• E. Gershikov and M. Porat, "Efficient Color Image Compression using Demosaicing", the IEEE Signature Conference on Computers, Software and Applications (COMPSAC) 2010.

• M. Porat, "Towards Optimized Video Coding using Vector Quantization", The International Conference on Optimization, Simulation and Control (COSC) 2010.

Recent Book Chapters

• Eyal Braunstain and Moshe Porat, "On Optimized Color Image Coding using Correlation of Primary Colors", A. Petrosino (Ed.): ICIAP 2013, Part I, LNCS 8156, pp. 523-531, Springer-Verlag Berlin Heidelberg (2013).

• Evgeny Gershikov and Moshe Porat, "Data Compression of Color Images using a Probabilistic Linear Transform Approach", in LNCS # 4310, T. Boyanov, S. Dimova, K. Georgiev, G. Nikolov (Eds.) pp. 582-589, Springer-Verlag Berlin Heidelberg (2007).

• M. Porat, "On Coding and Codebooks in Multimedia Information Systems", in "Information Systems Development", pp. 243-252, Springer, O. Vasilecas et al.Eds, (2005).

• H. Kirshner and M. Porat, "From Analog Information to Digital Databases - Does it Keep Everything Intact?", in "Information Systems Development", pp. 377-388, Springer, O. Vasilecas et al.Eds, (2005).

Patents

• N.S. Jayant and M. Porat, Method and apparatus for image processing using model-based localized quantization, US Patent #5,828,413, 1998. Also registered as European Patent EP0765085, Japanese Patent JP9172378, and Canadian patent CA2180298 (developed at Bell Labs, Murray Hill, NJ, USA).

• S. Nemirovsky and M. Porat, Method and System for Processing an Image According to Deterministic and Stochastic Fields US patent No. 8,537,172, issued 2013.

Graduate M.Sc. and Ph.D. Students

• Jacques Behar - Information in Localized Phase of Signals and its Role in Vision.

• Zvi Dubiner - The Gabor Representation as a Tool for Systems Synthesis and Analysis in the Position-Frequency space.

• Hayit Greenspan - Image Analysis in a Position -- Orientation Space, with Y.Y. Zeevi.

• Nir Katzir - Planar Curve Segmentation for Recognition of Partially Occluded Shapes.

• Tamar Genossar - On Non-Orthogonal Representations and Gabor Expansion.

• Yuval Eldar - Irregular Image Sampling using the Voronoi Tessellation. System.

• Sharon Urieli - Image Analysis and Representation by Spectral Phase.

• Amir Francos - Signal Analysis and Synthesis using Positive Time-Frequency

• Gal Shachor - Signal Reconstruction from Partial Information in the Position-Frequency Space.

• Yossi Shapiro - Signal Reconstruction from Spectral Amplitude.

• Nir Brueller - Non-Uniform Sampling of Signals with Time varying Characteristics. 

• Larisa Goffman-Vinopal - The Effect of Intercolor Correlation on Color Image Compression.

• Ari Shenhar - Processing of Spatial Distortions in Images.

• Gil Michael - On Signal Reconstruction from Fourier Magnitude.

• Dmitry Furman - Compression of Video Sequences using Three Dimensional Vector Quantization.

• Elad Klein - Model Order Selection for Harmonic Signals by Super Resolution Methods.

• Xiao Qiong Tang - On Special Signals in Image Reconstruction from Partial Spectral Information.

• Lior Assouline - On Quality Criteria for Time-Varying Filtering.

• Don Chen - On Gemstone Feature Recognition, with G. CogHill.

• Amir Leventer - On Optimal Bit Rate Reduction in Video Coding.

• Yair Kerner - Quality enhancement of ultrasound imaging using compounding.

• Sharon Harell - Development of a computerized approach for quantitative analysis of the 'Myocardial Blush Grade' in patients undergoing angiography, Primary adviser Prof. R. Beyar, Technion's Medical school.

• Yalon Roterman - Color image coding using regional correlation of primary colors.

• Roni Mittelman - On Multi-Resolution Statistical Models for Image Processing.

• Emilia Lavi (Burlak) - Correlation vs. Decorrelation of Color Components in Image Compression.

• Hagai Kirshner - On Sampling-Invariant Characteristics in Signal Representation (MSc); On Sampling Invariant Image Processing and Analysis (PhD).

• Ronen Sher - On Image Interpolation using Statistical Models.

• Shira Nemirovsky - On Texture and Image Interpolation using Markov Models.

• Rudi Primorac - Color Video Coding using Spatio-Temporal Correlation of Primary Colors.

• Evgeny Gershikov - On Subband Transform Coding for Color Image Compression (MSc); On the Role of Color Information in Image Processing and Visual Communcation (PhD), with Prof. A. Tannenbaum.

• Gil Rivnai - On the Adaptation Process to Optical Signals in the Retina (with Prof I. Perlman, Technion's Medical school).

• Ora Gendler - On Transcoding Optimization using Requantization.

• Micha Kalfon - On the Role of Color Information in Texture Recognition (final stages).

• Dmitry Sezganov - Large scale content-based image retrieval using geometric information.

• Yaron Kalit - Color Texture Interpolation based on Markov Models and Local Gradients.

• Lior Gorodisky - Quantification of Mitral Regurgitation using Magnetic Resonance Imaging (with Prof. J. Lessick, Technion's Medical school).

• Alex Kopaigorodski - On signal and image reconstruction from discrete data.

• Roie Pri-Or, "On Chirp-Based Ultrasound Systems" (with Dr. Zvi Friedman of General Electric Medical Systems).

• Dorin Danial, "On Chirp Excitation and Compression for Ultrasound Imaging" (with Dr. Zvi Friedman of General Electric Medical Systems).

• Yedidya Hyams, "On the spatial distribution of colour in images and its role in image resizing".

• Avi Goldman, "On Model-Based Ultrasound Imaging", (with Dr. Zvi Friedman).

• Ariel Shallom, "On Continuous-domain Mobile Sensing of Spatial Fields" (with Dr. Hagai Kirshner).

• Omri Soceanu, "Thinning Transducer Arrays for Ultrasound Imaging using Multiplicative Beamforming", (with Dr. Zvi Friedman).

• Avner Atias, "Video target tracking using sweeping experts".

• Yossef Cohen, "On Model-Based Analysis and Representation of Ultrasound Imaging",  (with Dr. Zvi Friedman).

• Adi Falik, "On Compression and Speckle Suppression for Ultrasound Medical Images", (with Dr. Zvi Friedman).

• Shira Nemirovsky-Rotman - "On Multi-Component Approaches to Diagnostic Medical Imaging", Ph.D. research (with Dr. Zvi Friedman).

• Beary Fluss - "On Ultrasound Signal Compression for Medical Imaging" (with Dr. Zvi Friedman).

• Sahar Blank - "On glaucoma identification using computer vision" (with Dr. Zvi Friedman).

• Matar Tzur (Buchbinder)  - "Cataract Retinal Image Quality Assessment using Deep Learning for Glaucoma Diagnosis" (with Dr. Zvi Friedman, in progress).

• Ben Friedmann - "Development of Prediction Practices for Accelerated-Discovery in the Drug Delivery Field using Machine-Learning Based Techniques" (with Dr. Y. Shamay, in progress).

• Rotem Benisty - "On Feature Extraction from MRI Data of Crohn’s Disease patients" (with Dr. Moti Freiman, in progress).

For further details see my list of completed Technion's theses. 

Professional Affiliations

IEEE - Senior Member

IAPR - Israel's representative (1998-2011)

IFMBE - Member of the International Federation for Medical and Biological Engineering and the Israeli branch ISMBE.

Last update: December  2023.