Michael Zibulevsky

Publication Activity (10 Years)

Years Active: 1997-2020
Publications (10 Years): 29

Top Topics

Nonrigid Objects

Inverse Problems In Image Processing

Conformal Mapping

Top Venues

SIAM J. Imaging Sci.

IEEE Signal Process. Lett.

Publications

Gil Shamai, Michael Zibulevsky, Ron Kimmel
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. IEEE Trans. Pattern Anal. Mach. Intell. 42 (1) (2020)
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP (2020)
Tao Hong, Irad Yavneh, Michael Zibulevsky
Solving RED With Weighted Proximal Methods. IEEE Signal Process. Lett. 27 (2020)
Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR (2020)
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Self-supervised learning of inverse problem solvers in medical imaging. CoRR (2019)
Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI (2019)
Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning Fast Magnetic Resonance Imaging. CoRR (2019)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning beamforming in ultrasound imaging. MIDL (2019)
Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR (2019)
Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi
Texture and Structure Two-view Classification of Images. CoRR (2019)
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
High frame-rate cardiac ultrasound imaging with deep learning. CoRR (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI (2018)
Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Learning beamforming in ultrasound imaging. CoRR (2018)
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
High quality ultrasonic multi-line transmission through deep learning. CoRR (2018)
Tao Hong, Irad Yavneh, Michael Zibulevsky
Accelerating Multigrid Optimization via SESOP. CoRR (2018)
Dan Elbaz, Michael Zibulevsky
Perceptual audio loss function for deep learning. CoRR (2017)
Dan Elbaz, Michael Zibulevsky
End to End Deep Neural Networks Radio Receiver for Speech Signals. CoRR (2017)
Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR (2017)
Amir Adler, David Boublil, Michael Zibulevsky
Block-based compressed sensing of images via deep learning. MMSP (2017)
Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
Trainlets: Dictionary Learning in High Dimensions. IEEE Trans. Signal Process. 64 (12) (2016)
Gil Shamai, Michael Zibulevsky, Ron Kimmel
Fast Classical Scaling. CoRR (2016)
Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky
A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR (2016)
Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
Trainlets: Dictionary Learning in High Dimensions. CoRR (2016)
Gregory Vaksman, Michael Zibulevsky, Michael Elad
Patch-Ordering as a Regularization for Inverse Problems in Image Processing. CoRR (2016)
Amir Adler, Michael Elad, Michael Zibulevsky
Compressed Learning: A Deep Neural Network Approach. CoRR (2016)
Gregory Vaksman, Michael Zibulevsky, Michael Elad
Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM J. Imaging Sci. 9 (1) (2016)
Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR (2016)
Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS (2016)
Gil Shamai, Michael Zibulevsky, Ron Kimmel
Accelerating the Computation of Canonical Forms for 3D Nonrigid Objects using Multidimensional Scaling. 3DOR@Eurographics (2015)
David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky
Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging 34 (7) (2015)
Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel
Classical Scaling Revisited. ICCV (2015)
Michael Zibulevsky
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions. CoRR (2014)
Joseph Shtok, Michael Elad, Michael Zibulevsky
Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging 2013 (2013)
Joseph Shtok, Michael Zibulevsky, Michael Elad
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR (2013)
Yonathan Aflalo, Ron Kimmel, Michael Zibulevsky
Conformal Mapping with as Uniform as Possible Conformal Factor. SIAM J. Imaging Sci. 6 (1) (2013)
Joseph Shtok, Michael Elad, Michael Zibulevsky
Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP (2011)
Michael Zibulevsky, Michael Elad
L1-L2 Optimization in Signal and Image Processing. IEEE Signal Process. Mag. 27 (3) (2010)
Joseph Shtok, Michael Zibulevsky, Michael Elad
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning CoRR (2010)
Ron Rubinstein, Michael Zibulevsky, Michael Elad
Double sparsity: learning sparse dictionaries for sparse signal approximation. IEEE Trans. Signal Process. 58 (3) (2010)
Joseph Shtok, Michael Elad, Michael Zibulevsky
Direct Adaptive Algorithms for CT Reconstruction. ISBI (2009)
Grigory Begelman, Michael Zibulevsky, Ehud Rivlin, Tsafrir Kolatt
Blind Decomposition of Transmission Light Microscopic Hyperspectral Cube Using Sparse Representation. IEEE Trans. Medical Imaging 28 (8) (2009)
Eliyahu Osherovich, Michael Zibulevsky, Irad Yavneh
Fast Reconstruction Method for Diffraction Imaging. ISVC (2) (2009)
Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations. IEEE Trans. Inf. Theory 54 (11) (2008)
Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
On the uniqueness of non-negative sparse & redundant representations. ICASSP (2008)
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky
Blind separation of convolutive image mixtures. Neurocomputing 71 (10-12) (2008)
Dmitri Model, Michael Zibulevsky
Learning subject-specific spatial and temporal filters for single-trial EEG classification. NeuroImage 32 (4) (2006)
Michael Elad, Boaz Matalon, Michael Zibulevsky
Image Denoising with Shrinkage and Redundant Representations. CVPR (2) (2006)
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky
Efficient Separation of Convolutive Image Mixtures. ICA (2006)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
On Separation of Semitransparent Dynamic Images from Static Background. ICA (2006)
Dmitri Model, Michael Zibulevsky
Signal reconstruction in sensor arrays using sparse representations. Signal Process. 86 (3) (2006)
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner
Fast kernel entropy estimation and optimization. Signal Process. 85 (5) (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
"Unmixing" tissues: sparse component analysis in multi-contrast MRI. ICIP (2) (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Trans. Signal Process. 53 (7) (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Sparse ICA for blind separation of transmitted and reflected images. Int. J. Imaging Syst. Technol. 15 (1) (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind separation of tissues in multi-modal MRI using Sparse Component Analysis. EUSIPCO (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
Relative optimization for blind deconvolution. IEEE Trans. Signal Process. 53 (6) (2005)
Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind deconvolution of images using optimal sparse representations. IEEE Trans. Image Process. 14 (6) (2005)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
QML Blind Deconvolution: Asymptotic Analysis. ICA (2004)
Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky
Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. ISBI (2004)
Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner
ICA Using Kernel Entropy Estimation with NlogN Complexity. ICA (2004)
Dmitri Model, Michael Zibulevsky
Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization. ICA (2004)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
Blind Deconvolution Using the Relative Newton Method. ICA (2004)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Optimal Sparse Representations for Blind Deconvolution of Images. ICA (2004)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
Blind Source Separation Using the Block-Coordinate Relative Newton Method. ICA (2004)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
Blind source separation using block-coordinate relative Newton method. Signal Process. 84 (8) (2004)
Alexey Polonsky, Michael Zibulevsky
MEG/EEG Source Localization Using Spatio-temporal Sparse Representations. ICA (2004)
Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi
Fast relative newton algorithm for blind deconvolution of images. ICIP (2004)
Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. ICIP (2004)
Michael Zibulevsky
Relative Newton method for signal separation. ICASSP (5) (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind separation of mixed images using multiscale transforms. ICIP (1) (2003)
Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Separation of reflections via sparse ICA. ICIP (1) (2003)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Separation of semireflective layers using sparse ICA. ICASSP (3) (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind separation of mixed images using multiscale transforms. VCIP (2003)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
A Multiscale Framework For Blind Separation of Linearly Mixed Signals. J. Mach. Learn. Res. 4 (2003)
Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Haim Azhari
Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT. IEEE Trans. Medical Imaging 21 (11) (2002)
Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
Optimal nonlinear estimation of photon coordinates in PET. ISBI (2002)
Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky
Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. ISBI (2002)
Michael Zibulevsky, Yehoshua Y. Zeevi
Extraction of a source from multichannel data using sparse decomposition. Neurocomputing 49 (1-4) (2002)
Michael Zibulevsky, Barak A. Pearlmutter
Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. 13 (4) (2001)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Blind source separation using multinode sparse representation. ICIP (3) (2001)
Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
Wavelet representation and total variation regularization in emission tomography. ICIP (1) (2001)
Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
Blind Source Separation via Multinode Sparse Representation. NIPS (2001)
Pau Bofill, Michael Zibulevsky
Underdetermined blind source separation using sparse representations. Signal Process. 81 (11) (2001)
Ron Lekkvkovitz, Dmitry Falikman, Michael Zibulevsky, Aharon Ben-Tal, Arkadi Nemirovski
The Design and Implementation of COSEM, an Iterative Algorithm for Fully 3D Listmode Data. IEEE Trans. Medical Imaging 20 (7) (2001)
Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter
Blind source separation of multichannel neuromagnetic responses. Neurocomputing (2000)
Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend
An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. NIPS (1999)
Aharon Ben-Tal, Michael Zibulevsky
Penalty/Barrier Multiplier Methods for Convex Programming Problems. SIAM J. Optim. 7 (2) (1997)