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ORCIDYoram 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 54(4): 385-397 (2005) - 2004
- [j49]Dror Baron, Yoram Bresler:
An O(N) semipredictive universal encoder via the BWT. IEEE Trans. Inf. Theory 50(5): 928-937 (2004) - [j48]Raman Venkataramani, Yoram Bresler:
Multiple-Input Multiple-Output Sampling: Necessary Density Conditions. IEEE Trans. Inf. Theory 50(8): 1754-1768 (2004) - [c51]Nitin Aggarwal, Saptarshi Bandyopadhyay, Yoram Bresler:
Spatio-Temporal Modeling and Adaptive Acquisition for Cardiac MRI. ISBI 2004: 628-631 - [c50]Nitin Aggarwal, Yoram Bresler:
Accelerated Parallel Magnetic Resonance Imaging by Adaptive K-Space Sampling. ISBI 2004: 892-895 - [c49]Jeffrey Brokish, Yoram Bresler:
A Hierarchical Algorithm for Fast Backprojection in Helical Cone-Beam Tomography. ISBI 2004: 1420-1423 - 2003
- [j47]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
Cramer-Rao bounds for parametric shape estimation in inverse problems. IEEE Trans. Image Process. 12(1): 71-84 (2003) - [j46]Raman Venkataramani, Yoram Bresler:
Sampling theorems for uniform and periodic nonuniform MIMO sampling of multiband signals. IEEE Trans. Signal Process. 51(12): 3152-3163 (2003) - [j45]Raman Venkataramani, Yoram Bresler:
Filter design for MIMO sampling and reconstruction. IEEE Trans. Signal Process. 51(12): 3164-3176 (2003) - [c48]Yoram Bresler, Jeffrey Brokish:
Fast hierarchical backprojection for helical cone-beam tomography. ICIP (2) 2003: 815-818 - [c47]Shu Xiao, Yoram Bresler, David C. Munson Jr.:
Fast Feldkamp algorithm for cone-beam computer tomography. ICIP (2) 2003: 819-822 - [c46]Nitin Aggarwal, Yoram Bresler:
Optimal sampling in parallel magnetic resonance imaging. ICIP (2) 2003: 839-842 - 2002
- [j44]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples. Int. J. Comput. Vis. 50(3): 253-270 (2002) - [j43]Samit Basu, Yoram Bresler:
O (N3logN) Backprojection Algorithm for the 3D Radon Transform. IEEE Trans. Medical Imaging 21(2): 76-88 (2002) - [j42]Shai Levy, Dan Adams, Yoram Bresler:
Electro-magnetic Impedance Tomography (EMIT): A New Method for Impedance Imaging. IEEE Trans. Medical Imaging 21(6): 676-687 (2002) - [c45]Natalia A. Schmid, Yoram Bresler, Pierre Moulin:
Complexity regularized shape estimation from noisy Fourier data. ICIP (2) 2002: 453-456 - [c44]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
Cramer-Rao bounds for parametric shape estimation. ICIP (2) 2002: 473-476 - [c43]Yoram Bresler:
Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals. ISBI 2002: 713-716 - [c42]Nitin Aggarwal, Qi Zhao, Yoram Bresler:
Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI. ISBI 2002: 737-740 - [c41]Shu Xiao, Yoram Bresler, David C. Munson Jr.:
O(N2 log N) native fan-beam tomographic reconstruction. ISBI 2002: 824-827 - 2001
- [j41]Samit Basu, Yoram Bresler:
Error analysis and performance optimization of fast hierarchical backprojection algorithms. IEEE Trans. Image Process. 10(7): 1103-1117 (2001) - [j40]Raman Venkataramani, Yoram Bresler:
Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals. IEEE Trans. Signal Process. 49(10): 2301-2313 (2001) - [c40]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
A self-referencing level-set method for image reconstruction from sparse Fourier samples. ICIP (2) 2001: 33-36 - 2000
- [j39]Christophe Couvreur, Yoram Bresler:
On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem. SIAM J. Matrix Anal. Appl. 21(3): 797-808 (2000) - [j38]Samit Basu, Yoram Bresler:
Uniqueness of tomography with unknown view angles. IEEE Trans. Image Process. 9(6): 1094-1106 (2000) - [j37]Samit Basu, Yoram Bresler:
Feasibility of tomography with unknown view angles. IEEE Trans. Image Process. 9(6): 1107-1122 (2000) - [j36]Amir Boag, Yoram Bresler, Eric Michielssen:
A multilevel domain decomposition algorithm for fast O(N2logN) reprojection of tomographic images. IEEE Trans. Image Process. 9(9): 1573-1582 (2000) - [j35]Samit Basu, Yoram Bresler:
O(N2log2N) filtered backprojection reconstruction algorithm for tomography. IEEE Trans. Image Process. 9(10): 1760-1773 (2000) - [j34]Samit Basu, Yoram Bresler:
A global lower bound on parameter estimation error with periodic distortion functions. IEEE Trans. Inf. Theory 46(3): 1145-1150 (2000) - [j33]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
Asymptotic global confidence regions in parametric shape estimation problems. IEEE Trans. Inf. Theory 46(5): 1881-1895 (2000) - [j32]Raman Venkataramani, Yoram Bresler:
Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals. IEEE Trans. Inf. Theory 46(6): 2173-2183 (2000) - [j31]Sze-Fong Yau, Yoram Bresler:
Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals. IEEE Trans. Signal Process. 48(5): 1274-1286 (2000) - [j30]Samit Basu, Yoram Bresler:
The stability of nonlinear least squares problems and the Cramer-Rao bound. IEEE Trans. Signal Process. 48(12): 3426-3436 (2000) - [c39]Michael Gastpar, Yoram Bresler:
On the necessary density for spectrum-blind nonuniform sampling subject to quantization. ICASSP 2000: 348-351 - [c38]Jong Chul Ye, Yoram Bresler, Pierre Moulin:
Global confidence regions in parametric shape estimation. ICASSP 2000: 3180-3183 - [c37]Amir Boag, Yoram Bresler, Eric Michielssen:
A Multilevel Domain Decomposition Algorithm for Fast O(N2logN) Reprojection of Tomographic Images. ICIP 2000: 633-636
1990 – 1999
- 1999
- [j29]Gopal Harikumar, Yoram Bresler:
Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms. IEEE Trans. Image Process. 8(2): 202-219 (1999) - [j28]Ian B. Kerfoot, Yoram Bresler:
Theoretical analysis of multispectral image segmentation criteria. IEEE Trans. Image Process. 8(6): 798-820 (1999) - [j27]Gopal Harikumar, Yoram Bresler:
Exact image deconvolution from multiple FIR blurs. IEEE Trans. Image Process. 8(6): 846-862 (1999) - 1998
- [j26]Alexander H. Delaney, Yoram Bresler:
Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography. IEEE Trans. Image Process. 7(2): 204-221 (1998) - [j25]Gopal Harikumar, Yoram Bresler:
FIR perfect signal reconstruction from multiple convolutions: minimum deconvolver orders. IEEE Trans. Signal Process. 46(1): 215-218 (1998) - [c36]Raman Venkataramani, Yoram Bresler:
Sub-Nyquist sampling of multiband signals: perfect reconstruction and bounds on aliasing error. ICASSP 1998: 1633-1636 - [c35]Gopal Harikumar, Christophe Couvreur, Yoram Bresler:
Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems. ICASSP 1998: 1877-1880 - [c34]Samit Basu, Yoram Bresler:
Feasibility of Tomography with Unknown View Angles. ICIP (2) 1998: 15-19 - [c33]Raman Venkataramani, Yoram Bresler:
Further Results on Spectrum Blind Sampling of 2D Signals. ICIP (2) 1998: 752-756 - 1997
- [j24]N. Parker Willis, Yoram Bresler:
Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: I. IEEE Trans. Inf. Theory 43(1): 190-207 (1997) - [j23]N. Parker Willis, Yoram Bresler:
Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: II. Large space-bandwidth product asymptotics. IEEE Trans. Inf. Theory 43(1): 208-220 (1997) - [j22]Lee M. Garth, Yoram Bresler:
The degradation of higher order spectral detection using narrowband processing. IEEE Trans. Signal Process. 45(7): 1770-1784 (1997) - [c32]Samit Basu, Yoram Bresler:
Tomography with unknown view angles. ICASSP 1997: 2845-2848 - [c31]Christophe Couvreur, Yoram Bresler:
Doppler-based motion estimation for wide-band sources from single passive sensor measurements. ICASSP 1997: 3537-3540 - 1996
- [j21]Alexander H. Delaney, Yoram Bresler:
A fast and accurate Fourier algorithm for iterative parallel-beam tomography. IEEE Trans. Image Process. 5(5): 740-753 (1996) - [j20]Gopal Harikumar, Yoram Bresler:
Feature extraction techniques for exploratory visualization of vector-valued imagery. IEEE Trans. Image Process. 5(9): 1324-1334 (1996) - [j19]Yoram Bresler:
Bounds on the aliasing error in multidimensional Shannon sampling. IEEE Trans. Inf. Theory 42(6): 2238-2241 (1996) - [j18]Lee M. Garth, Yoram Bresler:
A comparison of optimized higher order spectral detection techniques for non-Gaussian signals. IEEE Trans. Signal Process. 44(5): 1198-1213 (1996) - [j17]Lee M. Garth, Yoram Bresler:
On the use of asymptotics in detection and estimation. IEEE Trans. Signal Process. 44(5): 1304-1307 (1996) - [j16]Sze-Fong Yau, Yoram Bresler:
On the robustness of parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. 44(11): 2825-2836 (1996) - [c30]Gopal Harikumar, Yoram Bresler:
A new algorithm for computing sparse solutions to linear inverse problems. ICASSP 1996: 1331-1334 - [c29]Ping Feng, Yoram Bresler:
Spectrum-blind minimum-rate sampling and reconstruction of multiband signals. ICASSP 1996: 1688-1691 - [c28]Christophe Couvreur, Yoram Bresler:
Dictionary-based decomposition of linear mixtures of Gaussian processes. ICASSP 1996: 2519-2522 - [c27]Gopal Harikumar, Yoram Bresler:
Efficient algorithms for the blind recovery of images blurred by multiple filters. ICIP (3) 1996: 97-100 - [c26]Yoram Bresler, Ping Feng:
Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals. ICIP (1) 1996: 701-704 - 1995
- [j15]N. Parker Willis, Yoram Bresler:
Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations. IEEE Trans. Image Process. 4(5): 642-653 (1995) - [j14]N. Parker Willis, Yoram Bresler:
Optimal scan for time-varying tomography. II. Efficient design and experimental validation. IEEE Trans. Image Process. 4(5): 654-666 (1995) - [j13]Alexander H. Delaney, Yoram Bresler:
Multiresolution tomographic reconstruction using wavelets. IEEE Trans. Image Process. 4(6): 799-813 (1995) - [c25]Christophe Couvreur, Yoram Bresler:
Decomposition of a mixture of Gaussian AR processes. ICASSP 1995: 1605-1608 - [c24]Alexander H. Delaney, Yoram Bresler:
A fast iterative tomographic reconstruction algorithm. ICASSP 1995: 2295-2298 - [c23]Yoram Bresler:
Some recent results in tomography. ICASSP 1995: 2903-2906 - [c22]Alexander H. Delaney, Yoram Bresler:
Efficient edge-preserving regularization for limited-angle tomography. ICIP (3) 1995: 176-179 - 1994
- [c21]Gopal Harikumar, Yoram Bresler:
Vector Field Visualization: Analysis of Feature Extraction Methods. ICIP (2) 1994: 51-55 - [c20]Ian B. Kerfoot, Yoram Bresler:
Theoretical Analysis of a Multiscale Algorithm for the Direct Segmentation of Tomographic Images. ICIP (2) 1994: 177-181 - [c19]Alexander H. Delaney, Yoram Bresler:
Multiresolution Tomographic Reconstruction using Wavelets. ICIP (2) 1994: 830-834 - [c18]Yoram Bresler:
Unified time-sequential sampling theory for spatio-temporal signals. ICPR (3) 1994 - [c17]Gopal Harikumar, Yoram Bresler:
Analysis of feature extraction criteria for vector field visualization. ICPR (3) 1994: 103-107 - 1993
- [j12]Sze-Fong Yau, Yoram Bresler:
Maximum likelihood parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. 41(2): 804-820 (1993) - [c16]Ian B. Kerfoot, Yoram Bresler:
Design and theoretical analysis of a vector field segmentation algorithm. ICASSP (5) 1993: 5-8 - [c15]Lee M. Garth, Yoram Bresler:
On the inferiority of higher-order detection in narrowband processing. ICASSP (4) 1993: 208-211 - [c14]Yoram Bresler, N. Parker Willis:
Optimal scan design for time-varying tomographic imaging. ICASSP (5) 1993: 487-490 - 1992
- [j11]Sze Fong Yau, Yoram Bresler:
Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method. Signal Process. 29(3): 283-298 (1992) - [j10]N. Parker Willis, Yoram Bresler:
Norm variance of minimax interpolation. IEEE Trans. Inf. Theory 38(3): 1177-1181 (1992) - [j9]Sze-Fong Yau, Yoram Bresler:
A compact Cramer-Rao bound expression for parametric estimation of superimposed signals. IEEE Trans. Signal Process. 40(5): 1226-1230 (1992) - [j8]Sze-Fong Yau, Yoram Bresler:
Worst case Cramer-Rao bounds for parametric estimation of superimposed signals with applications. IEEE Trans. Signal Process. 40(12): 2973-2986 (1992) - [c13]N. Parker Willis, Yoram Bresler:
A new approach to the time-sequential sampling problem. ICASSP 1992: 277-280 - [c12]Sze Fong Yau, Yoram Bresler:
Image restoration by complexity regularization via dynamic programming. ICASSP 1992: 305-308 - [c11]Robert W. Boesel, Yoram Bresler:
New paradigm for optimal multiparameter image visualization. VBC 1992 - [c10]Gopal Harikumar, Yoram Bresler:
Multiparameter image visualization by projection pursuit (Proceedings Only). VBC 1992 - 1991
- [c9]Yoram Bresler:
On the resolution capacity of wideband sensor arrays: further results. ICASSP 1991: 1353-1356 - [c8]Sze Fong Yau, Yoram Bresler:
Performance analysis of parameter estimation of superimposed signals by dynamic programming. ICASSP 1991: 3161-3164 - 1990
- [c7]Yoram Bresler, Scott P. Litke:
A parametric technique for superresolution image reconstruction. ICASSP 1990: 1205-1208 - [c6]Sze Fong Yau, Yoram Bresler:
Parameter estimation of superimposed signals by dynamic programming. ICASSP 1990: 2499-2502
1980 – 1989
- 1989
- [j7]Yoram Bresler, Jeffrey A. Fessler, Albert Macovski:
A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain. IEEE Trans. Pattern Anal. Mach. Intell. 11(8): 840-858 (1989) - [c5]Yoram Bresler, Carl J. Skrabacz:
Optimal interpolation in helical scan 3D computerized tomography. ICASSP 1989: 1472-1475 - [c4]Yoram Bresler, Alexander H. Delaney:
Resolution of overlapping echoes of unknown shape. ICASSP 1989: 2657-2660 - 1988
- [j6]Yoram Bresler, Jeffrey A. Fessler, Albert Macovski:
Model-based estimation techniques for 3-D reconstruction from projections. Mach. Vis. Appl. 1(2): 115-126 (1988) - [j5]Yoram Bresler, Vellenki Umapathi Reddy, Thomas Kailath:
Optimum beamforming for coherent signal and interferences. IEEE Trans. Acoust. Speech Signal Process. 36(6): 833-843 (1988) - 1987
- [j4]Yoram Bresler, Shmuel J. Merhav:
Recursive image registration with application to motion estimation. IEEE Trans. Acoust. Speech Signal Process. 35(1): 70-85 (1987) - [j3]Yoram Bresler, Albert Macovski:
Three-dimensional reconstruction from projections with incomplete and noisy data by object estimation. IEEE Trans. Acoust. Speech Signal Process. 35(8): 1139-1152 (1987) - [c3]Yoram Bresler, Vellenki U. Reddi, Thomas Kailath:
A polynomial approach to optimum beamforming for correlated or coherent signal and interference. ICASSP 1987: 2292-2295 - 1986
- [j2]Yoram Bresler, Albert Macovski:
Exact maximum likelihood parameter estimation of superimposed exponential signals in noise. IEEE Trans. Acoust. Speech Signal Process. 34(5): 1081-1089 (1986) - [j1]Yoram Bresler, Albert Macovski:
On the number of signals resolvable by a uniform linear array. IEEE Trans. Acoust. Speech Signal Process. 34(6): 1361-1375 (1986) - 1985
- [c2]Yoram Bresler, Albert Macovski:
Exact maximum likelihood estimation of superimposed exponential signals in noise. ICASSP 1985: 1824-1827 - 1984
- [c1]Yoram Bresler, Albert Macovski:
3-D reconstruction from projections based on dynamic object models. ICASSP 1984: 471-474
Coauthor Index
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