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Michael Zibulevsky
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2020 – today
- 2020
- [j28]Gil Shamai
, Michael Zibulevsky, Ron Kimmel
:
Efficient Inter-Geodesic Distance Computation and Fast Classical Scaling. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 74-85 (2020) - [j27]Tao Hong
, Irad Yavneh, Michael Zibulevsky:
Solving RED With Weighted Proximal Methods. IEEE Signal Process. Lett. 27: 501-505 (2020) - [c39]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: 8653-8657 - [i21]Yoni Choukroun, Michael Zibulevsky, Pavel Kisilev:
Primal-Dual Sequential Subspace Optimization for Saddle-point Problems. CoRR abs/2008.09149 (2020)
2010 – 2019
- 2019
- [c38]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: 111-119 - [c37]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. MIDL 2019: 493-511 - [i20]Tomer Weiss, Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning Fast Magnetic Resonance Imaging. CoRR abs/1905.09324 (2019) - [i19]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 abs/1905.09325 (2019) - [i18]Samah Khawaled, Michael Zibulevsky, Yehoshua Y. Zeevi:
Texture and Structure Two-view Classification of Images. CoRR abs/1908.09264 (2019) - [i17]Tomer Weiss, Ortal Senouf, Sanketh Vedula, Oleg V. Michailovich, Michael Zibulevsky, Alexander M. Bronstein:
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI. CoRR abs/1909.05773 (2019) - 2018
- [c36]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: 126-134 - [c35]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: 147-155 - [i16]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 abs/1808.07819 (2018) - [i15]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 abs/1808.07823 (2018) - [i14]Tao Hong, Irad Yavneh, Michael Zibulevsky:
Accelerating Multigrid Optimization via SESOP. CoRR abs/1812.06896 (2018) - [i13]Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Learning beamforming in ultrasound imaging. CoRR abs/1812.08043 (2018) - 2017
- [c34]Amir Adler
, David Boublil, Michael Zibulevsky:
Block-based compressed sensing of images via deep learning. MMSP 2017: 1-6 - [i12]Dan Elbaz, Michael Zibulevsky:
End to End Deep Neural Networks Radio Receiver for Speech Signals. CoRR abs/1704.02046 (2017) - [i11]Dan Elbaz, Michael Zibulevsky:
Perceptual audio loss function for deep learning. CoRR abs/1708.05987 (2017) - [i10]Sanketh Vedula, Ortal Senouf, Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky:
Towards CT-quality Ultrasound Imaging using Deep Learning. CoRR abs/1710.06304 (2017) - 2016
- [j26]Gregory Vaksman, Michael Zibulevsky, Michael Elad:
Patch Ordering as a Regularization for Inverse Problems in Image Processing. SIAM J. Imaging Sci. 9(1): 287-319 (2016) - [j25]Jeremias Sulam
, Boaz Ophir, Michael Zibulevsky, Michael Elad:
Trainlets: Dictionary Learning in High Dimensions. IEEE Trans. Signal Process. 64(12): 3180-3193 (2016) - [c33]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. NIPS 2016: 1534-1542 - [i9]Jeremias Sulam, Boaz Ophir, Michael Zibulevsky, Michael Elad:
Trainlets: Dictionary Learning in High Dimensions. CoRR abs/1602.00212 (2016) - [i8]Gregory Vaksman, Michael Zibulevsky, Michael Elad:
Patch-Ordering as a Regularization for Inverse Problems in Image Processing. CoRR abs/1602.08510 (2016) - [i7]Amir Adler, David Boublil, Michael Elad, Michael Zibulevsky:
A Deep Learning Approach to Block-based Compressed Sensing of Images. CoRR abs/1606.01519 (2016) - [i6]Elad Richardson, Rom Herskovitz, Boris Ginsburg, Michael Zibulevsky:
SEBOOST - Boosting Stochastic Learning Using Subspace Optimization Techniques. CoRR abs/1609.00629 (2016) - [i5]Amir Adler, Michael Elad, Michael Zibulevsky:
Compressed Learning: A Deep Neural Network Approach. CoRR abs/1610.09615 (2016) - [i4]Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Fast Classical Scaling. CoRR abs/1611.07356 (2016) - 2015
- [j24]David Boublil, Michael Elad, Joseph Shtok, Michael Zibulevsky:
Spatially-Adaptive Reconstruction in Computed Tomography Using Neural Networks. IEEE Trans. Medical Imaging 34(7): 1474-1485 (2015) - [c32]Gil Shamai, Michael Zibulevsky, Ron Kimmel:
Accelerating the Computation of Canonical Forms for 3D Nonrigid Objects using Multidimensional Scaling. 3DOR@Eurographics 2015: 71-78 - [c31]Gil Shamai, Yonathan Aflalo, Michael Zibulevsky, Ron Kimmel:
Classical Scaling Revisited. ICCV 2015: 2255-2263 - 2014
- [i3]Michael Zibulevsky:
Speeding-Up Convergence via Sequential Subspace Optimization: Current State and Future Directions. CoRR abs/1401.0159 (2014) - 2013
- [j23]Joseph Shtok
, Michael Elad
, Michael Zibulevsky:
Learned Shrinkage Approach for Low-Dose Reconstruction in Computed Tomography. Int. J. Biomed. Imaging 2013: 609274:1-609274:20 (2013) - [j22]Yonathan Aflalo, Ron Kimmel, Michael Zibulevsky:
Conformal Mapping with as Uniform as Possible Conformal Factor. SIAM J. Imaging Sci. 6(1): 78-101 (2013) - [i2]Joseph Shtok, Michael Zibulevsky, Michael Elad:
Spatially-Adaptive Reconstruction in Computed Tomography using Neural Networks. CoRR abs/1311.7251 (2013) - 2012
- [e1]Fabian J. Theis, Andrzej Cichocki, Arie Yeredor, Michael Zibulevsky:
Latent Variable Analysis and Signal Separation - 10th International Conference, LVA/ICA 2012, Tel Aviv, Israel, March 12-15, 2012. Proceedings. Lecture Notes in Computer Science 7191, Springer 2012, ISBN 978-3-642-28550-9 [contents] - 2011
- [c30]Joseph Shtok, Michael Elad, Michael Zibulevsky:
Sparsity-based Sinogram Denoising for low-dose Computed Tomography. ICASSP 2011: 569-572 - 2010
- [j21]Michael Zibulevsky, Michael Elad
:
L1-L2 Optimization in Signal and Image Processing. IEEE Signal Process. Mag. 27(3): 76-88 (2010) - [j20]Ron Rubinstein, Michael Zibulevsky, Michael Elad:
Double sparsity: learning sparse dictionaries for sparse signal approximation. IEEE Trans. Signal Process. 58(3): 1553-1564 (2010) - [i1]Joseph Shtok, Michael Zibulevsky, Michael Elad:
Spatially-Adaptive Reconstruction in Computed Tomography Based on Statistical Learning. CoRR abs/1004.4373 (2010)
2000 – 2009
- 2009
- [j19]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): 1317-1324 (2009) - [c29]Joseph Shtok, Michael Elad
, Michael Zibulevsky:
Direct Adaptive Algorithms for CT Reconstruction. ISBI 2009: 181-184 - [c28]Eliyahu Osherovich, Michael Zibulevsky, Irad Yavneh:
Fast Reconstruction Method for Diffraction Imaging. ISVC (2) 2009: 1063-1072 - 2008
- [j18]Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky:
Blind separation of convolutive image mixtures. Neurocomputing 71(10-12): 2164-2179 (2008) - [j17]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): 4813-4820 (2008) - [c27]Alfred M. Bruckstein
, Michael Elad, Michael Zibulevsky:
On the uniqueness of non-negative sparse & redundant representations. ICASSP 2008: 5145-5148 - 2007
- [p1]Michael Zibulevsky:
Relative Newton and Smoothing Multiplier Optimization Methods for Blind Source Separation. Blind Speech Separation 2007: 193-214 - 2006
- [j16]Dmitri Model, Michael Zibulevsky:
Learning subject-specific spatial and temporal filters for single-trial EEG classification. NeuroImage 32(4): 1631-1641 (2006) - [j15]Dmitri Model, Michael Zibulevsky:
Signal reconstruction in sensor arrays using sparse representations. Signal Process. 86(3): 624-638 (2006) - [c26]Michael Elad, Boaz Matalon, Michael Zibulevsky:
Image Denoising with Shrinkage and Redundant Representations. CVPR (2) 2006: 1924-1931 - [c25]Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevsky:
Efficient Separation of Convolutive Image Mixtures. ICA 2006: 246-253 - [c24]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
On Separation of Semitransparent Dynamic Images from Static Background. ICA 2006: 934-940 - 2005
- [j14]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): 84-91 (2005) - [j13]Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner:
Fast kernel entropy estimation and optimization. Signal Process. 85(5): 1045-1058 (2005) - [j12]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): 726-736 (2005) - [j11]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Relative optimization for blind deconvolution. IEEE Trans. Signal Process. 53(6): 2018-2026 (2005) - [j10]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): 2576-2579 (2005) - [c23]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: 1-4 - [c22]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
"Unmixing" tissues: sparse component analysis in multi-contrast MRI. ICIP (2) 2005: 1282-1285 - 2004
- [j9]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind source separation using block-coordinate relative Newton method. Signal Process. 84(8): 1447-1459 (2004) - [c21]Dmitri Model, Michael Zibulevsky:
Signal Reconstruction in Sensor Arrays Using Temporal-Spatial Sparsity Regularization. ICA 2004: 319-326 - [c20]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind Source Separation Using the Block-Coordinate Relative Newton Method. ICA 2004: 406-413 - [c19]Sarit Shwartz, Michael Zibulevsky, Yoav Y. Schechner:
ICA Using Kernel Entropy Estimation with NlogN Complexity. ICA 2004: 422-429 - [c18]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Optimal Sparse Representations for Blind Deconvolution of Images. ICA 2004: 500-507 - [c17]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky:
Blind Deconvolution Using the Relative Newton Method. ICA 2004: 554-561 - [c16]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
QML Blind Deconvolution: Asymptotic Analysis. ICA 2004: 677-684 - [c15]Alexey Polonsky, Michael Zibulevsky:
MEG/EEG Source Localization Using Spatio-temporal Sparse Representations. ICA 2004: 1001-1008 - [c14]Alexander M. Bronstein, Michael Zibulevsky, Michael M. Bronstein, Yehoshua Y. Zeevi:
Fast relative newton algorithm for blind deconvolution of images. ICIP 2004: 1233-1236 - [c13]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: 1815-1818 - [c12]Michael M. Bronstein, Alexander M. Bronstein, Yehoshua Y. Zeevi, Michael Zibulevsky:
Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media. ISBI 2004: 352-355 - 2003
- [j8]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
A Multiscale Framework For Blind Separation of Linearly Mixed Signals. J. Mach. Learn. Res. 4: 1339-1363 (2003) - [c11]Michael Zibulevsky:
Relative Newton method for signal separation. ICASSP (5) 2003: 29-32 - [c10]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Separation of semireflective layers using sparse ICA. ICASSP (3) 2003: 733-736 - [c9]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind separation of mixed images using multiscale transforms. ICIP (1) 2003: 309-312 - [c8]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Separation of reflections via sparse ICA. ICIP (1) 2003: 313-316 - [c7]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind separation of mixed images using multiscale transforms. VCIP 2003: 990-997 - 2002
- [j7]Michael Zibulevsky, Yehoshua Y. Zeevi:
Extraction of a source from multichannel data using sparse decomposition. Neurocomputing 49(1-4): 163-173 (2002) - [j6]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): 1395-1401 (2002) - [c6]Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, Yehoshua Y. Zeevi:
Optimal nonlinear estimation of photon coordinates in PET. ISBI 2002: 541-544 - [c5]Michael M. Bronstein, Alexander M. Bronstein, Michael Zibulevsky:
Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform. ISBI 2002: 633-636 - 2001
- [j5]Michael Zibulevsky, Barak A. Pearlmutter
:
Blind Source Separation by Sparse Decomposition in a Signal Dictionary. Neural Comput. 13(4): 863-882 (2001) - [j4]Pau Bofill, Michael Zibulevsky:
Underdetermined blind source separation using sparse representations. Signal Process. 81(11): 2353-2362 (2001) - [j3]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): 633-642 (2001) - [c4]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Blind source separation using multinode sparse representation. ICIP (3) 2001: 202-205 - [c3]Pavel Kisilev, Michael Zibulevsky, Yehoshua Y. Zeevi:
Wavelet representation and total variation regularization in emission tomography. ICIP (1) 2001: 702-705 - [c2]Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi, Barak A. Pearlmutter:
Blind Source Separation via Multinode Sparse Representation. NIPS 2001: 1049-1056 - 2000
- [j2]Akaysha C. Tang, Barak A. Pearlmutter
, Michael Zibulevsky, Scott A. Carter:
Blind source separation of multichannel neuromagnetic responses. Neurocomputing 32-33: 1115-1120 (2000)
1990 – 1999
- 1999
- [c1]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: 185-191 - 1997
- [j1]Aharon Ben-Tal, Michael Zibulevsky:
Penalty/Barrier Multiplier Methods for Convex Programming Problems. SIAM J. Optim. 7(2): 347-366 (1997)
Coauthor Index
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