Michael Zibulevsky

According to our database, Michael Zibulevsky authored at least 80 papers between 1997 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Solving RED With Weighted Proximal Methods.

Tao Hong, Irad Yavneh, Michael Zibulevsky

IEEE Signal Process. Lett., 2020

Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling.

Gil Shamai, Michael Zibulevsky, Ron Kimmel

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Primal-Dual Sequential Subspace Optimization for Saddle-point Problems.

Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev

CoRR, 2020

Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI.

Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI.

Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein

CoRR, 2019

Texture and Structure Two-view Classification of Images.

Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi

CoRR, 2019

Learning Fast Magnetic Resonance Imaging.

Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky

CoRR, 2019

Learning beamforming in ultrasound imaging.

Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Self-supervised Learning of Inverse Problem Solvers in Medical Imaging.

Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky

Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

2018

Accelerating Multigrid Optimization via SESOP.

Tao Hong, Irad Yavneh, Michael Zibulevsky

CoRR, 2018

High Quality Ultrasonic Multi-line Transmission Through Deep Learning.

Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini

Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.

Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017

Towards CT-quality Ultrasound Imaging using Deep Learning.

Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky

CoRR, 2017

Perceptual audio loss function for deep learning.

Dan Elbaz, Michael Zibulevsky

CoRR, 2017

End to End Deep Neural Networks Radio Receiver for Speech Signals.

Dan Elbaz, Michael Zibulevsky

CoRR, 2017

Block-based compressed sensing of images via deep learning.

Amir Adler, David Boublil, Michael Zibulevsky

Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016

Trainlets: Dictionary Learning in High Dimensions.

Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad

IEEE Trans. Signal Process., 2016

Patch Ordering as a Regularization for Inverse Problems in Image Processing.

Gregory Vaksman, Michael Zibulevsky, Michael Elad

SIAM J. Imaging Sci., 2016

Fast Classical Scaling.

Gil Shamai, Michael Zibulevsky, Ron Kimmel

CoRR, 2016

Compressed Learning: A Deep Neural Network Approach.

Amir Adler, Michael Elad, Michael Zibulevsky

CoRR, 2016

A Deep Learning Approach to Block-based Compressed Sensing of Images.

Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky

CoRR, 2016

SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques.

Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks.

David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky

IEEE Trans. Medical Imaging, 2015

Classical Scaling Revisited.

Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Accelerating the Computation of Canonical Forms for 3D Nonrigid Objects using Multidimensional Scaling.

Gil Shamai, Michael Zibulevsky, Ron Kimmel

Proceedings of the 8th Eurographics Workshop on 3D Object Retrieval, 2015

2014

Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions.

Michael Zibulevsky

CoRR, 2014

2013

Conformal Mapping with as Uniform as Possible Conformal Factor.

Yonathan Aflalo, Ron Kimmel, Michael Zibulevsky

SIAM J. Imaging Sci., 2013

Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Int. J. Biomed. Imaging, 2013

Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks.

Joseph Shtok, Michael Zibulevsky, Michael Elad

CoRR, 2013

2011

Sparsity-based Sinogram Denoising for low-dose Computed Tomography.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Proceedings of the IEEE International Conference on Acoustics, 2011

2010

Double sparsity: learning sparse dictionaries for sparse signal approximation.

Ron Rubinstein, Michael Zibulevsky, Michael Elad

IEEE Trans. Signal Process., 2010

L1-L2 Optimization in Signal and Image Processing.

Michael Zibulevsky, Michael Elad

IEEE Signal Process. Mag., 2010

Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning

Joseph Shtok, Michael Zibulevsky, Michael Elad

CoRR, 2010

2009

Blind Decomposition of Transmission Light Microscopic Hyperspectral Cube Using Sparse Representation.

Grigory Begelman, Michael Zibulevsky, Ehud Rivlin, Tsafrir Kolatt

IEEE Trans. Medical Imaging, 2009

Fast Reconstruction Method for Diffraction Imaging.

Eliyahu Osherovich, Michael Zibulevsky, Irad Yavneh

Proceedings of the Advances in Visual Computing, 5th International Symposium, 2009

Direct Adaptive Algorithms for CT Reconstruction.

Joseph Shtok, Michael Elad, Michael Zibulevsky

Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

2008

On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations.

Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky

IEEE Trans. Inf. Theory, 2008

Blind separation of convolutive image mixtures.

Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky

Neurocomputing, 2008

On the uniqueness of non-negative sparse & redundant representations.

Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation.

Michael Zibulevsky

Proceedings of the Blind Speech Separation, 2007

2006

Signal reconstruction in sensor arrays using sparse representations.

Dmitri Model, Michael Zibulevsky

Signal Process., 2006

Learning subject-specific spatial and temporal filters for single-trial EEG classification.

Dmitri Model, Michael Zibulevsky

NeuroImage, 2006

Efficient Separation of Convolutive Image Mixtures.

Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

On Separation of Semitransparent Dynamic Images from Static Background.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Image Denoising with Shrinkage and Redundant Representations.

Michael Elad, Boaz Matalon, Michael Zibulevsky

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky

IEEE Trans. Signal Process., 2005

Relative optimization for blind deconvolution.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky

IEEE Trans. Signal Process., 2005

Blind deconvolution of images using optimal sparse representations.

Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

IEEE Trans. Image Process., 2005

Fast kernel entropy estimation and optimization.

Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner

Signal Process., 2005

Sparse ICA for blind separation of transmitted and reflected images.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Int. J. Imaging Syst. Technol., 2005

"Unmixing" tissues: sparse component analysis in multi-contrast MRI.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2005 International Conference on Image Processing, 2005

Blind separation of tissues in multi-modal MRI using Sparse Component Analysis.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 13th European Signal Processing Conference, 2005

2004

Blind source separation using block-coordinate relative Newton method.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky

Signal Process., 2004

Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media.

Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky

Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Fast relative newton algorithm for blind deconvolution of images.

Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi

Proceedings of the 2004 International Conference on Image Processing, 2004

Optimal sparse representations for blind source separation and blind deconvolution: a learning approach.

Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2004 International Conference on Image Processing, 2004

ICA Using Kernel Entropy Estimation with NlogN Complexity.

Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

MEG/EEG Source Localization Using Spatio-temporal Sparse Representations.

Alexey Polonsky, Michael Zibulevsky

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization.

Dmitri Model, Michael Zibulevsky

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

QML Blind Deconvolution: Asymptotic Analysis.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Optimal Sparse Representations for Blind Deconvolution of Images.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind Deconvolution Using the Relative Newton Method.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

2003

A Multiscale Framework For Blind Separation of Linearly Mixed Signals.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

J. Mach. Learn. Res., 2003

Blind separation of mixed images using multiscale transforms.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the Visual Communications and Image Processing 2003, 2003

Separation of reflections via sparse ICA.

Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2003 International Conference on Image Processing, 2003

Relative Newton method for signal separation.

Michael Zibulevsky

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Separation of semireflective layers using sparse ICA.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT.

Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Haim Azhari

IEEE Trans. Medical Imaging, 2002

Extraction of a source from multichannel data using sparse decomposition.

Michael Zibulevsky, Yehoshua Y. Zeevi

Neurocomputing, 2002

Optimal nonlinear estimation of photon coordinates in PET.

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform.

Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky

Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

2001

The Design and Implementation of COSEM, an Iterative Algorithm for Fully 3D Listmode Data.

Ron Lekkvkovitz, Dmitry Falikman, Michael Zibulevsky, Aharon Ben-Tal, Arkadi Nemirovski

IEEE Trans. Medical Imaging, 2001

Underdetermined blind source separation using sparse representations.

Pau Bofill, Michael Zibulevsky

Signal Process., 2001

Blind Source Separation by Sparse Decomposition in a Signal Dictionary.

Michael Zibulevsky, Barak A. Pearlmutter

Neural Comput., 2001

Blind Source Separation via Multinode Sparse Representation.

Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Blind source separation using multinode sparse representation.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2001 International Conference on Image Processing, 2001

Wavelet representation and total variation regularization in emission tomography.

Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Blind source separation of multichannel neuromagnetic responses.

Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter

Neurocomputing, 2000

1999

An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task.

Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend

Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1997

Penalty/Barrier Multiplier Methods for Convex Programming Problems.

Aharon Ben-Tal, Michael Zibulevsky

SIAM J. Optim., 1997