Michael Zibulevsky

90 papers A* 1B 2C 2Misc 3Journal 49Unranked 31

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. IEEE Trans. Pattern Anal. Mach. Intell. Gil Shamai, Michael Zibulevsky, Ron Kimmel
2020	Misc	`conf`	Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI. ICASSP Tomer Weiss, Sanketh Vedula, Ortal Senouf, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2020	J	`jnl`	Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev
2020	J	`jnl`	Solving RED With Weighted Proximal Methods. IEEE Signal Process. Lett. Tao Hong, Irad Yavneh, Michael Zibulevsky
2019	J	`jnl`	Learning Fast Magnetic Resonance Imaging. CoRR Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	—	`conf`	Learning beamforming in ultrasound imaging. MIDL Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein
2019	—	`conf`	Self-supervised Learning of Inverse Problem Solvers in Medical Imaging. DART/MIL3ID@MICCAI Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	Self-supervised learning of inverse problem solvers in medical imaging. CoRR Ortal Senouf, Sanketh Vedula, Tomer Weiss, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2019	J	`jnl`	Texture and Structure Two-view Classification of Images. CoRR Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi
2018	J	`jnl`	Accelerating Multigrid Optimization via SESOP. CoRR Tao Hong, Irad Yavneh, Michael Zibulevsky
2018	—	`conf`	High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning. MICCAI (1) Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	—	`conf`	High Quality Ultrasonic Multi-line Transmission Through Deep Learning. MLMIR@MICCAI Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	High frame-rate cardiac ultrasound imaging with deep learning. CoRR Ortal Senouf, Sanketh Vedula, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, David Blondheim
2018	J	`jnl`	High quality ultrasonic multi-line transmission through deep learning. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Michael Zibulevsky, Oleg V. Michailovich, Dan Adam, Diana Gaitini
2018	J	`jnl`	Learning beamforming in ultrasound imaging. CoRR Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2017	C	`conf`	Block-based compressed sensing of images via deep learning. MMSP Amir Adler, David Boublil, Michael Zibulevsky
2017	J	`jnl`	End to End Deep Neural Networks Radio Receiver for Speech Signals. CoRR Dan Elbaz, Michael Zibulevsky
2017	J	`jnl`	Perceptual audio loss function for deep learning. CoRR Dan Elbaz, Michael Zibulevsky
2017	J	`jnl`	Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky
2016	J	`jnl`	A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky
2016	J	`jnl`	Compressed Learning: A Deep Neural Network Approach. CoRR Amir Adler, Michael Elad, Michael Zibulevsky
2016	J	`jnl`	Fast Classical Scaling. CoRR Gil Shamai, Michael Zibulevsky, Ron Kimmel
2016	J	`jnl`	Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM J. Imaging Sci. Gregory Vaksman, Michael Zibulevsky, Michael Elad
2016	J	`jnl`	Patch-Ordering as a Regularization for Inverse Problems in Image Processing. CoRR Gregory Vaksman, Michael Zibulevsky, Michael Elad
2016	—	`conf`	SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
2016	J	`jnl`	SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky
2016	J	`jnl`	Trainlets: Dictionary Learning in High Dimensions. CoRR Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
2016	J	`jnl`	Trainlets: Dictionary Learning in High Dimensions. IEEE Trans. Signal Process. Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad
2015	—	`conf`	Accelerating the Computation of Canonical Forms for 3D Nonrigid Objects using Multidimensional Scaling. 3DOR@Eurographics Gil Shamai, Michael Zibulevsky, Ron Kimmel
2015	A*	`conf`	Classical Scaling Revisited. ICCV Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel
2015	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky
2014	J	`jnl`	Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions. CoRR Michael Zibulevsky
2013	J	`jnl`	Conformal Mapping with as Uniform as Possible Conformal Factor. SIAM J. Imaging Sci. Yonathan Aflalo, Ron Kimmel, Michael Zibulevsky
2013	J	`jnl`	Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging Joseph Shtok, Michael Elad, Michael Zibulevsky
2013	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2012	—	`ed.`	Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings LVA/ICA Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky
2011	Misc	`conf`	Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP Joseph Shtok, Michael Elad, Michael Zibulevsky
2010	J	`jnl`	Double sparsity: learning sparse dictionaries for sparse signal approximation. IEEE Trans. Signal Process. Ron Rubinstein, Michael Zibulevsky, Michael Elad
2010	J	`jnl`	L1-L2 Optimization in Signal and Image Processing. IEEE Signal Process. Mag. Michael Zibulevsky, Michael Elad
2010	J	`jnl`	Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning CoRR Joseph Shtok, Michael Zibulevsky, Michael Elad
2009	J	`jnl`	Blind Decomposition of Transmission Light Microscopic Hyperspectral Cube Using Sparse Representation. IEEE Trans. Medical Imaging Grigory Begelman, Michael Zibulevsky, Ehud Rivlin, Tsafrir Kolatt
2009	—	`conf`	Direct Adaptive Algorithms for CT Reconstruction. ISBI Joseph Shtok, Michael Elad, Michael Zibulevsky
2009	—	`conf`	Fast Reconstruction Method for Diffraction Imaging. ISVC (2) Eliyahu Osherovich, Michael Zibulevsky, Irad Yavneh
2008	J	`jnl`	Blind separation of convolutive image mixtures. Neurocomputing Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky
2008	J	`jnl`	On the Uniqueness of Nonnegative Sparse Solutions to Underdetermined Systems of Equations. IEEE Trans. Inf. Theory Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
2008	Misc	`conf`	On the uniqueness of non-negative sparse & redundant representations. ICASSP Alfred M. Bruckstein, Michael Elad, Michael Zibulevsky
2007	—	`ch.`	Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation. Blind Speech Separation Michael Zibulevsky
2006	—	`conf`	Efficient Separation of Convolutive Image Mixtures. ICA Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky
2006	—	`conf`	Image Denoising with Shrinkage and Redundant Representations. CVPR (2) Michael Elad, Boaz Matalon, Michael Zibulevsky
2006	J	`jnl`	Learning subject-specific spatial and temporal filters for single-trial EEG classification. NeuroImage Dmitri Model, Michael Zibulevsky
2006	—	`conf`	On Separation of Semitransparent Dynamic Images from Static Background. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2006	J	`jnl`	Signal reconstruction in sensor arrays using sparse representations. Signal Process. Dmitri Model, Michael Zibulevsky
2005	—	`conf`	"Unmixing" tissues: sparse component analysis in multi-contrast MRI. ICIP (2) Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	J	`jnl`	Blind deconvolution of images using optimal sparse representations. IEEE Trans. Image Process. Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	—	`conf`	Blind separation of tissues in multi-modal MRI using Sparse Component Analysis. EUSIPCO Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2005	J	`jnl`	Fast kernel entropy estimation and optimization. Signal Process. Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner
2005	J	`jnl`	Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency. IEEE Trans. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2005	J	`jnl`	Relative optimization for blind deconvolution. IEEE Trans. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2005	J	`jnl`	Sparse ICA for blind separation of transmitted and reflected images. Int. J. Imaging Syst. Technol. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	—	`conf`	Blind Deconvolution Using the Relative Newton Method. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	—	`conf`	Blind Source Separation Using the Block-Coordinate Relative Newton Method. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	J	`jnl`	Blind source separation using block-coordinate relative Newton method. Signal Process. Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky
2004	B	`conf`	Fast relative newton algorithm for blind deconvolution of images. ICIP Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi
2004	—	`conf`	ICA Using Kernel Entropy Estimation with NlogN Complexity. ICA Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner
2004	—	`conf`	MEG/EEG Source Localization Using Spatio-temporal Sparse Representations. ICA Alexey Polonsky, Michael Zibulevsky
2004	—	`conf`	Optimal Sparse Representations for Blind Deconvolution of Images. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	B	`conf`	Optimal sparse representations for blind source separation and blind deconvolution: a learning approach. ICIP Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	—	`conf`	QML Blind Deconvolution: Asymptotic Analysis. ICA Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2004	—	`conf`	Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. ISBI Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky
2004	—	`conf`	Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization. ICA Dmitri Model, Michael Zibulevsky
2003	J	`jnl`	A Multiscale Framework For Blind Separation of Linearly Mixed Signals. J. Mach. Learn. Res. Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2003	—	`conf`	Blind separation of mixed images using multiscale transforms. ICIP (1) Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2003	C	`conf`	Blind separation of mixed images using multiscale transforms. VCIP Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2003	—	`conf`	Relative Newton method for signal separation. ICASSP (5) Michael Zibulevsky
2003	—	`conf`	Separation of reflections via sparse ICA. ICIP (1) Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2003	—	`conf`	Separation of semireflective layers using sparse ICA. ICASSP (3) Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2002	J	`jnl`	Extraction of a source from multichannel data using sparse decomposition. Neurocomputing Michael Zibulevsky, Yehoshua Y. Zeevi
2002	—	`conf`	Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. ISBI Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky
2002	—	`conf`	Optimal nonlinear estimation of photon coordinates in PET. ISBI Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi
2002	J	`jnl`	Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT. IEEE Trans. Medical Imaging Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Haim Azhari
2001	J	`jnl`	Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. Michael Zibulevsky, Barak A. Pearlmutter
2001	—	`conf`	Blind Source Separation via Multinode Sparse Representation. NIPS Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter
2001	—	`conf`	Blind source separation using multinode sparse representation. ICIP (3) Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2001	J	`jnl`	The Design and Implementation of COSEM, an Iterative Algorithm for Fully 3D Listmode Data. IEEE Trans. Medical Imaging Ron Lekkvkovitz, Dmitry Falikman, Michael Zibulevsky, Aharon Ben-Tal, Arkadi Nemirovski
2001	J	`jnl`	Underdetermined blind source separation using sparse representations. Signal Process. Pau Bofill, Michael Zibulevsky
2001	—	`conf`	Wavelet representation and total variation regularization in emission tomography. ICIP (1) Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi
2000	J	`jnl`	Blind source separation of multichannel neuromagnetic responses. Neurocomputing Akaysha C. Tang, Barak A. Pearlmutter, Michael Zibulevsky, Scott A. Carter
1999	—	`conf`	An MEG Study of Response Latency and Variability in the Human Visual System During a Visual-Motor Integration Task. NIPS Akaysha C. Tang, Barak A. Pearlmutter, Tim A. Hely, Michael Zibulevsky, Michael P. Weisend
1997	J	`jnl`	Penalty/Barrier Multiplier Methods for Convex Programming Problems. SIAM J. Optim. Aharon Ben-Tal, Michael Zibulevsky