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Yoram Bresler
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- affiliation: University of Illinois at Urbana-Champaign, Urbana, IL, USA
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2020 – today
- 2024
- [j89]Berk Iskender
, Marc Louis Klasky
, Yoram Bresler
:
RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Trans. Computational Imaging 10: 832-847 (2024) - [c101]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learning the Barankin Lower Bound on DOA Estimation Error. ICASSP 2024: 9906-9910 - 2023
- [j88]Zhizhen Zhao
, Jong Chul Ye
, Yoram Bresler
:
Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. 40(1): 148-163 (2023) - [j87]Hai Victor Habi
, Hagit Messer
, Yoram Bresler
:
Learning to Bound: A Generative Cramér-Rao Bound. IEEE Trans. Signal Process. 71: 1216-1231 (2023) - [c100]Berk Iskender, Marc Louis Klasky, Yoram Bresler:
Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. CAMSAP 2023: 506-510 - [c99]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learned Generative Misspecified Lower Bound. ICASSP 2023: 1-5 - [c98]Berk Iskender
, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler:
Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP 2023: 1-5 - [c97]Berk Iskender
, Marc Louis Klasky, Yoram Bresler:
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. ICCV 2023: 10561-10570 - [i32]Berk Iskender
, Marc Louis Klasky, Yoram Bresler:
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. CoRR abs/2304.03483 (2023) - 2022
- [j86]Berk Iskender
, Yoram Bresler
:
Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning. IEEE Trans. Computational Imaging 8: 1074-1088 (2022) - [c96]Meghna Kalra, Yoram Bresler
, Kiryung Lee:
Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples. ICASSP 2022: 5148-5152 - [c95]Hai Victor Habi, Hagit Messer, Yoram Bresler
:
A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution. SAM 2022: 176-180 - [c94]Berk Iskender
, Yoram Bresler
, Marc Louis Klasky:
Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. IVMSP 2022: 1-5 - [i31]Hai Victor Habi, Hagit Messer, Yoram Bresler:
Learning to Bound: A Generative Cramér-Rao Bound. CoRR abs/2203.03695 (2022) - 2021
- [i30]Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler:
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR abs/2101.05500 (2021) - [i29]Berk Iskender, Yoram Bresler:
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning. CoRR abs/2103.11509 (2021) - 2020
- [j85]Arash Owrang
, Yoram Bresler
, Magnus Jansson
:
Model selection with covariance matching based non-negative lasso. Signal Process. 170: 107431 (2020) - [j84]Bihan Wen
, Saiprasad Ravishankar
, Luke Pfister
, Yoram Bresler
:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. 37(1): 41-53 (2020) - [j83]Bihan Wen
, Yanjun Li
, Yoram Bresler
:
Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. IEEE Trans. Image Process. 29: 5310-5323 (2020) - [c93]Yuqi Li, Yoram Bresler
:
Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation. ACSSC 2020: 636-640 - [c92]Ankit Raj, Yoram Bresler, Bo Li:
Improving Robustness of Deep-Learning-Based Image Reconstruction. ICML 2020: 7932-7942 - [c91]Berk Iskender
, Yoram Bresler
:
A Physics-Motivated DNN for X-Ray CT Scatter Correction. ISBI 2020: 609-613 - [i28]Ankit Raj, Yoram Bresler, Bo Li:
Improving Robustness of Deep-Learning-Based Image Reconstruction. CoRR abs/2002.11821 (2020) - [i27]Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler:
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR abs/2003.12985 (2020)
2010 – 2019
- 2019
- [j82]Bihan Wen
, Saiprasad Ravishankar
, Yoram Bresler
:
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. 28(4): 1691-1704 (2019) - [j81]Yanjun Li
, Kiryung Lee
, Yoram Bresler
:
Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory 65(5): 3097-3123 (2019) - [j80]Yanjun Li
, Yoram Bresler
:
Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory 65(11): 7415-7436 (2019) - [j79]Luke Pfister
, Yoram Bresler
:
Learning Filter Bank Sparsifying Transforms. IEEE Trans. Signal Process. 67(2): 504-519 (2019) - [j78]Luke Pfister
, Yoram Bresler
:
Bounding Multivariate Trigonometric Polynomials. IEEE Trans. Signal Process. 67(3): 700-707 (2019) - [c90]Yanjun Li, Yoram Bresler
:
Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP 2019: 7943-7947 - [c89]Ankit Raj, Yuqi Li, Yoram Bresler
:
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems. ICCV 2019: 5601-5610 - [i26]Ankit Raj, Yuqi Li, Yoram Bresler:
GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees. CoRR abs/1902.09698 (2019) - [i25]Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler:
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR abs/1903.11431 (2019) - 2018
- [j77]Kiryung Lee
, Yihong Wu
, Yoram Bresler
:
Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization. IEEE Trans. Inf. Theory 64(3): 1666-1698 (2018) - [c88]Yanjun Li, Yoram Bresler:
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS 2018: 1140-1151 - [i24]Luke Pfister, Yoram Bresler:
Learning Filter Bank Sparsifying Transforms. CoRR abs/1803.01980 (2018) - [i23]Yanjun Li, Yoram Bresler:
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR abs/1805.10437 (2018) - [i22]Bihan Wen
, Yanjun Li, Yoram Bresler:
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR abs/1808.01316 (2018) - 2017
- [j76]Kiryung Lee
, Yanjun Li
, Marius Junge, Yoram Bresler
:
Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory 63(2): 802-821 (2017) - [j75]Yanjun Li
, Kiryung Lee
, Yoram Bresler
:
Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration. IEEE Trans. Inf. Theory 63(2): 822-842 (2017) - [j74]Yanjun Li
, Kiryung Lee
, Yoram Bresler
:
Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory 63(7): 4619-4633 (2017) - [c87]Bihan Wen
, Yanjun Li, Yoram Bresler
:
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP 2017: 2297-2301 - [c86]Luke Pfister
, Yoram Bresler
:
Automatic parameter tuning for image denoising with learned sparsifying transforms. ICASSP 2017: 6040-6044 - [c85]Bihan Wen
, Yanjun Li, Luke Pfister
, Yoram Bresler
:
Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV 2017: 241-250 - [i21]Bihan Wen, Saiprasad Ravishankar, Yoram Bresler:
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR abs/1710.00947 (2017) - [i20]Yanjun Li, Kiryung Lee, Yoram Bresler:
Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR abs/1712.00111 (2017) - 2016
- [j73]Saiprasad Ravishankar
, Yoram Bresler
:
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. IEEE Trans. Computational Imaging 2(3): 294-309 (2016) - [j72]Yanjun Li
, Kiryung Lee, Yoram Bresler
:
Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory 62(7): 4266-4275 (2016) - [j71]Yanjun Li
, Kiryung Lee, Yoram Bresler
:
Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. 64(21): 5549-5556 (2016) - [c84]Bihan Wen
, Saiprasad Ravishankar, Yoram Bresler
:
Learning flipping and rotation invariant sparsifying transforms. ICIP 2016: 3857-3861 - [c83]Yanjun Li, Kiryung Lee, Yoram Bresler
:
Optimal sample complexity for stable matrix recovery. ISIT 2016: 81-85 - [c82]Elad Yarkony, Yuliy M. Baryshnikov, Yoram Bresler
:
Range-space based identification of parametric linear systems. IVMSP 2016: 1-5 - [i19]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal Sample Complexity for Stable Matrix Recovery. CoRR abs/1602.04396 (2016) - [i18]Yanjun Li, Yoram Bresler:
Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR abs/1602.04398 (2016) - 2015
- [j70]Bihan Wen
, Saiprasad Ravishankar, Yoram Bresler
:
Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. 114(2-3): 137-167 (2015) - [j69]Saiprasad Ravishankar, Bihan Wen
, Yoram Bresler
:
Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. 9(4): 625-636 (2015) - [j68]Saiprasad Ravishankar, Yoram Bresler
:
Online Sparsifying Transform Learning - Part II: Convergence Analysis. IEEE J. Sel. Top. Signal Process. 9(4): 637-646 (2015) - [j67]Saiprasad Ravishankar, Yoram Bresler
:
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging. SIAM J. Imaging Sci. 8(4): 2519-2557 (2015) - [j66]Saiprasad Ravishankar, Yoram Bresler
:
ℓ0 Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees. IEEE Trans. Signal Process. 63(9): 2389-2404 (2015) - [j65]Jong Chul Ye, Jong Min Kim, Yoram Bresler
:
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty. IEEE Trans. Signal Process. 63(24): 6595-6605 (2015) - [c81]Bihan Wen
, Saiprasad Ravishankar, Yoram Bresler
:
Video denoising by online 3D sparsifying transform learning. ICIP 2015: 118-122 - [i17]Saiprasad Ravishankar, Yoram Bresler:
ℓ0 Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees. CoRR abs/1501.02859 (2015) - [i16]Saiprasad Ravishankar, Yoram Bresler:
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. CoRR abs/1501.02923 (2015) - [i15]Yanjun Li, Kiryung Lee, Yoram Bresler:
A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR abs/1501.06120 (2015) - [i14]Jong Chul Ye, Jong Min Kim, Yoram Bresler:
Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty. CoRR abs/1503.06679 (2015) - [i13]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR abs/1505.03399 (2015) - [i12]Yanjun Li, Kiryung Lee, Yoram Bresler:
Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR abs/1507.01308 (2015) - [i11]Saiprasad Ravishankar, Yoram Bresler:
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. CoRR abs/1511.01289 (2015) - [i10]Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler:
Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR abs/1511.06149 (2015) - [i9]Bihan Wen, Yoram Bresler, Saiprasad Ravishankar:
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR abs/1511.06359 (2015) - [i8]Yanjun Li, Kiryung Lee, Yoram Bresler:
Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR abs/1512.07293 (2015) - 2014
- [j64]Huisu Yoon, Kyung Sang Kim, Daniel Kim, Yoram Bresler
, Jong Chul Ye:
Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI. IEEE Trans. Medical Imaging 33(11): 2069-2085 (2014) - [c80]Luke Pfister, Yoram Bresler
:
Model-based iterative tomographic reconstruction with adaptive sparsifying transforms. Computational Imaging 2014: 90200H - [c79]Saiprasad Ravishankar, Bihan Wen
, Yoram Bresler
:
Online sparsifying transform learning for signal processing. GlobalSIP 2014: 364-368 - [c78]Saiprasad Ravishankar, Yoram Bresler
:
Doubly sparse transform learning with convergence guarantees. ICASSP 2014: 5262-5266 - [c77]Luke Pfister
, Yoram Bresler
:
Tomographic reconstruction with adaptive sparsifying transforms. ICASSP 2014: 6914-6918 - [c76]Bihan Wen
, Saiprasad Ravishankar, Yoram Bresler
:
Learning overcomplete sparsifying transforms with block cosparsity. ICIP 2014: 803-807 - 2013
- [j63]Saiprasad Ravishankar, Yoram Bresler
:
Learning Doubly Sparse Transforms for Images. IEEE Trans. Image Process. 22(12): 4598-4612 (2013) - [j62]Kiryung Lee, Yoram Bresler
:
Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation". IEEE Trans. Inf. Theory 59(7): 4730-4732 (2013) - [j61]Kiryung Lee, Yoram Bresler
, Marius Junge:
Oblique Pursuits for Compressed Sensing. IEEE Trans. Inf. Theory 59(9): 6111-6141 (2013) - [j60]Saiprasad Ravishankar, Yoram Bresler
:
Learning Sparsifying Transforms. IEEE Trans. Signal Process. 61(5): 1072-1086 (2013) - [c75]Saiprasad Ravishankar, Yoram Bresler
:
Learning overcomplete sparsifying transforms for signal processing. ICASSP 2013: 3088-3092 - [c74]Saiprasad Ravishankar, Yoram Bresler
:
Closed-form solutions within sparsifying transform learning. ICASSP 2013: 5378-5382 - [c73]Jong Chul Ye, Jong Min Kim, Yoram Bresler
:
Subspace penalized sparse learning for joint sparse recovery. ICASSP 2013: 6039-6042 - [c72]Saiprasad Ravishankar, Yoram Bresler
:
Sparsifying transform learning for Compressed Sensing MRI. ISBI 2013: 17-20 - [c71]Kiryung Lee, Yoram Bresler
, Marius Junge:
Oblique pursuits for compressed sensing with random anisotropic measurements. ISIT 2013: 849-853 - [i7]Kiryung Lee, Yihong Wu, Yoram Bresler:
Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization. CoRR abs/1312.0525 (2013) - 2012
- [j59]Kiryung Lee, Yoram Bresler
, Marius Junge:
Subspace Methods for Joint Sparse Recovery. IEEE Trans. Inf. Theory 58(6): 3613-3641 (2012) - [c70]Saiprasad Ravishankar, Yoram Bresler
:
Learning sparsifying transforms for image processing. ICIP 2012: 681-684 - [c69]Saiprasad Ravishankar, Yoram Bresler
:
Learning doubly sparse transforms for image representation. ICIP 2012: 685-688 - [i6]Kiryung Lee, Yoram Bresler, Marius Junge:
Oblique Pursuits for Compressed Sensing. CoRR abs/1207.2681 (2012) - 2011
- [j58]Ge Wang
, Yoram Bresler
, Vasilis Ntziachristos
:
Guest Editorial Compressive Sensing for Biomedical Imaging. IEEE Trans. Medical Imaging 30(5): 1013-1016 (2011) - [j57]Saiprasad Ravishankar, Yoram Bresler
:
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. IEEE Trans. Medical Imaging 30(5): 1028-1041 (2011) - [j56]Ok Kyun Lee, Jong Min Kim, Yoram Bresler
, Jong Chul Ye:
Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity. IEEE Trans. Medical Imaging 30(5): 1129-1142 (2011) - [j55]Behzad Sharif, Yoram Bresler
:
Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems. IEEE Trans. Signal Process. 59(12): 5814-5829 (2011) - [c68]Saiprasad Ravishankar, Yoram Bresler
:
Adaptive sampling design for compressed sensing MRI. EMBC 2011: 3751-3755 - [c67]Behzad Sharif
, Yoram Bresler
:
Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks. ISBI 2011: 52-56 - [c66]Ok Kyun Lee, Jongmin Kim, Yoram Bresler
, Jong Chul Ye:
Diffuse optical tomography using generalized music algorithm. ISBI 2011: 1142-1145 - [c65]Saiprasad Ravishankar, Yoram Bresler
:
Highly undersampled MRI using adaptive sparse representations. ISBI 2011: 1585-1588 - [i5]Behzad Sharif, Yoram Bresler:
Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems. CoRR abs/1103.0875 (2011) - 2010
- [j54]Kiryung Lee, Yoram Bresler
:
ADMiRA: atomic decomposition for minimum rank approximation. IEEE Trans. Inf. Theory 56(9): 4402-4416 (2010) - [i4]Kiryung Lee, Yoram Bresler:
iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank. CoRR abs/1004.3071 (2010)
2000 – 2009
- 2009
- [c64]Yoram Bresler
, Kiryung Lee:
Efficient and guaranteed rank minimization by atomic decomposition. ISIT 2009: 314-318 - [i3]Kiryung Lee, Yoram Bresler:
Efficient and Guaranteed Rank Minimization by Atomic Decomposition. CoRR abs/0901.1898 (2009) - [i2]Kiryung Lee, Yoram Bresler:
Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint. CoRR abs/0903.4742 (2009) - [i1]Kiryung Lee, Yoram Bresler:
ADMiRA: Atomic Decomposition for Minimum Rank Approximation. CoRR abs/0905.0044 (2009) - 2008
- [c63]Yoram Bresler
:
Fast acquisition and reconstruction in imaging enabled by sampling theory. Computational Imaging 2008: 681402 - [c62]Behzad Sharif, Yoram Bresler
:
Upper bounds on aliasing error energy for multidimensional sampling of nonbandlimited signals. ICASSP 2008: 3717-3720 - [c61]Kiryung Lee, Yoram Bresler
:
Computing performance guarantees for compressed sensing. ICASSP 2008: 5129-5132 - [c60]Ashvin K. George, Mark D. Butala
, Richard A. Frazin, Farzad Kamalabadi, Yoram Bresler
:
Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter. ISBI 2008: 1489-1492 - [c59]Jong Chul Ye, Su Yeon Lee, Yoram Bresler
:
Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation. ISBI 2008: 1621-1624 - 2007
- [j53]Ashvin K. George, Yoram Bresler
:
Fast Tomographic Reconstruction via Rotation-Based Hierarchical Backprojection. SIAM J. Appl. Math. 68(2): 574-597 (2007) - [j52]Ashvin K. George, Yoram Bresler
:
Shear-Based Fast Hierarchical Backprojection for Parallel-Beam Tomography. IEEE Trans. Medical Imaging 26(3): 317-334 (2007) - [c58]Yoram Bresler
, Nitin Aggarwal, Behzad Sharif:
Patient-Adaptive Spatio-Temporal Mri: From Paradigm to Paradise and Beyond. ISBI 2007: 980-983 - [c57]Behzad Sharif
, Yoram Bresler
:
Adaptive Real-Time Cardiac MRI Using Paradise: Validation by the Physiologically Improved Ncat Phantom. ISBI 2007: 1020-1023 - [c56]Behzad Sharif
, Yoram Bresler
:
Affine-Corrected Paradise: Free-Breathing Patient-Adaptive Cardiac Mri With Sensitivity Encoding. ISBI 2007: 1076-1079 - 2006
- [j51]Jong Chul Ye, Pierre Moulin, Yoram Bresler
:
Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems. IEEE Trans. Image Process. 15(10): 2904-2919 (2006) - [c55]Nitin Aggarwal, Yoram Bresler:
Region-of-interest MRI: k-space sampling conditions. ISBI 2006: 41-44 - [c54]Behzad Sharif
, Yoram Bresler:
Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils. ISBI 2006: 45-48 - [c53]Mathews Jacob, Vlad Toronov, Yoram Bresler, Xiaofeng Zhang, Andrew G. Webb:
Reconstruction of functional activations in diffuse optical imaging. ISBI 2006: 594-597 - [c52]Ashvin K. George, Yoram Bresler:
A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm. ISBI 2006: 1188-1191 - 2005
- [j50]Dror Baron
, Yoram Bresler
:
Antisequential Suffix Sorting for BWT-Based Data Compression. IEEE Trans. Computers <