Yoram Bresler

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 54

Top Venues

CoRR

ICASSP

IEEE Trans. Inf. Theory

IEEE Trans. Signal Process.

Publications

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 (2024)
Hai Victor Habi, Hagit Messer, Yoram Bresler
Learning the Barankin Lower Bound on DOA Estimation Error. ICASSP (2024)
Hai Victor Habi, Hagit Messer, Yoram Bresler
Learned Generative Misspecified Lower Bound. ICASSP (2023)
Berk Iskender, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler
Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. ICCV (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. CoRR (2023)
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) (2023)
Hai Victor Habi, Hagit Messer, Yoram Bresler
Learning to Bound: A Generative Cramér-Rao Bound. IEEE Trans. Signal Process. 71 (2023)
Berk Iskender, Marc Louis Klasky, Yoram Bresler
Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. CAMSAP (2023)
Berk Iskender, Yoram Bresler
Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning. IEEE Trans. Computational Imaging 8 (2022)
Meghna Kalra, Yoram Bresler, Kiryung Lee
Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples. ICASSP (2022)
Hai Victor Habi, Hagit Messer, Yoram Bresler
Learning to Bound: A Generative Cramér-Rao Bound. CoRR (2022)
Hai Victor Habi, Hagit Messer, Yoram Bresler
A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution. SAM (2022)
Berk Iskender, Yoram Bresler, Marc Louis Klasky
Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. IVMSP (2022)
Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler
Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR (2021)
Berk Iskender, Yoram Bresler
Scatter Correction in X-ray CT by Physics-Inspired Deep Learning. CoRR (2021)
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) (2020)
Yuqi Li, Yoram Bresler
Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation. ACSSC (2020)
Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler
A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR (2020)
Ankit Raj, Yoram Bresler, Bo Li
Improving Robustness of Deep-Learning-Based Image Reconstruction. ICML (2020)
Berk Iskender, Yoram Bresler
A Physics-Motivated DNN for X-Ray CT Scatter Correction. ISBI (2020)
Arash Owrang, Yoram Bresler, Magnus Jansson
Model selection with covariance matching based non-negative lasso. Signal Process. 170 (2020)
Ankit Raj, Yoram Bresler, Bo Li
Improving Robustness of Deep-Learning-Based Image Reconstruction. CoRR (2020)
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 (2020)
Yanjun Li, Yoram Bresler
Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory 65 (11) (2019)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. 28 (4) (2019)
Luke Pfister, Yoram Bresler
Bounding Multivariate Trigonometric Polynomials. IEEE Trans. Signal Process. 67 (3) (2019)
Luke Pfister, Yoram Bresler
Learning Filter Bank Sparsifying Transforms. IEEE Trans. Signal Process. 67 (2) (2019)
Yanjun Li, Yoram Bresler
Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP (2019)
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory 65 (5) (2019)
Ankit Raj, Yuqi Li, Yoram Bresler
GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees. CoRR (2019)
Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR (2019)
Ankit Raj, Yuqi Li, Yoram Bresler
GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems. ICCV (2019)
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) (2018)
Yanjun Li, Yoram Bresler
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS (2018)
Yanjun Li, Yoram Bresler
Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR (2018)
Luke Pfister, Yoram Bresler
Learning Filter Bank Sparsifying Transforms. CoRR (2018)
Bihan Wen, Yanjun Li, Yoram Bresler
The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR (2018)
Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory 63 (2) (2017)
Yanjun Li, Kiryung Lee, Yoram Bresler
Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR (2017)
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) (2017)
Bihan Wen, Yanjun Li, Yoram Bresler
When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP (2017)
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)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR (2017)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory 63 (7) (2017)
Luke Pfister, Yoram Bresler
Automatic parameter tuning for image denoising with learned sparsifying transforms. ICASSP (2017)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
Learning flipping and rotation invariant sparsifying transforms. ICIP (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Stable Matrix Recovery. CoRR (2016)
Yanjun Li, Yoram Bresler
Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR (2016)
Saiprasad Ravishankar, Yoram Bresler
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. IEEE Trans. Computational Imaging 2 (3) (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. 64 (21) (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal sample complexity for stable matrix recovery. ISIT (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory 62 (7) (2016)
Elad Yarkony, Yuliy Baryshnikov, Yoram Bresler
Range-space based identification of parametric linear systems. IVMSP (2016)
Yanjun Li, Kiryung Lee, Yoram Bresler
Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR (2015)
Saiprasad Ravishankar, Yoram Bresler
Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees. IEEE Trans. Signal Process. 63 (9) (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR (2015)
Saiprasad Ravishankar, Yoram Bresler
Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. CoRR (2015)
Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR (2015)
Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Yanjun Li, Kiryung Lee, Yoram Bresler
A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR (2015)
Saiprasad Ravishankar, Yoram Bresler
Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. CoRR (2015)
Saiprasad Ravishankar, Yoram Bresler
Online Sparsifying Transform Learning - Part II: Convergence Analysis. IEEE J. Sel. Top. Signal Process. 9 (4) (2015)
Bihan Wen, Yoram Bresler, Saiprasad Ravishankar
FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR (2015)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
Video denoising by online 3D sparsifying transform learning. ICIP (2015)
Jong Chul Ye, Jongmin Kim, Yoram Bresler
Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty. IEEE Trans. Signal Process. 63 (24) (2015)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. 114 (2-3) (2015)
Jong Chul Ye, Jongmin Kim, Yoram Bresler
Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty. CoRR (2015)
Saiprasad Ravishankar, Yoram Bresler
Sparsifying Transform Learning with Efficient Optimal Updates and Convergence Guarantees. CoRR (2015)
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) (2015)
Luke Pfister, Yoram Bresler
Model-based iterative tomographic reconstruction with adaptive sparsifying transforms. Computational Imaging (2014)
Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
Learning overcomplete sparsifying transforms with block cosparsity. ICIP (2014)
Saiprasad Ravishankar, Yoram Bresler
Doubly sparse transform learning with convergence guarantees. ICASSP (2014)
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) (2014)
Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
Online sparsifying transform learning for signal processing. GlobalSIP (2014)
Luke Pfister, Yoram Bresler
Tomographic reconstruction with adaptive sparsifying transforms. ICASSP (2014)
Kiryung Lee, Yihong Wu, Yoram Bresler
Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization. CoRR (2013)
Kiryung Lee, Yoram Bresler, Marius Junge
Oblique Pursuits for Compressed Sensing. IEEE Trans. Inf. Theory 59 (9) (2013)
Saiprasad Ravishankar, Yoram Bresler
Learning Sparsifying Transforms. IEEE Trans. Signal Process. 61 (5) (2013)
Saiprasad Ravishankar, Yoram Bresler
Sparsifying transform learning for Compressed Sensing MRI. ISBI (2013)
Jong Chul Ye, Jongmin Kim, Yoram Bresler
Subspace penalized sparse learning for joint sparse recovery. ICASSP (2013)
Kiryung Lee, Yoram Bresler
Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation". IEEE Trans. Inf. Theory 59 (7) (2013)
Saiprasad Ravishankar, Yoram Bresler
Closed-form solutions within sparsifying transform learning. ICASSP (2013)
Saiprasad Ravishankar, Yoram Bresler
Learning Doubly Sparse Transforms for Images. IEEE Trans. Image Process. 22 (12) (2013)
Saiprasad Ravishankar, Yoram Bresler
Learning overcomplete sparsifying transforms for signal processing. ICASSP (2013)
Kiryung Lee, Yoram Bresler, Marius Junge
Oblique pursuits for compressed sensing with random anisotropic measurements. ISIT (2013)
Saiprasad Ravishankar, Yoram Bresler
Learning sparsifying transforms for image processing. ICIP (2012)
Kiryung Lee, Yoram Bresler, Marius Junge
Subspace Methods for Joint Sparse Recovery. IEEE Trans. Inf. Theory 58 (6) (2012)
Kiryung Lee, Yoram Bresler, Marius Junge
Oblique Pursuits for Compressed Sensing CoRR (2012)
Saiprasad Ravishankar, Yoram Bresler
Learning doubly sparse transforms for image representation. ICIP (2012)
Saiprasad Ravishankar, Yoram Bresler
MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. IEEE Trans. Medical Imaging 30 (5) (2011)
Ok Kyun Lee, Jongmin Kim, Yoram Bresler, Jong Chul Ye
Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity. IEEE Trans. Medical Imaging 30 (5) (2011)
Ge Wang, Yoram Bresler, Vasilis Ntziachristos
Guest Editorial Compressive Sensing for Biomedical Imaging. IEEE Trans. Medical Imaging 30 (5) (2011)
Behzad Sharif, Yoram Bresler
Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems. IEEE Trans. Signal Process. 59 (12) (2011)
Ok Kyun Lee, Jongmin Kim, Yoram Bresler, Jong Chul Ye
Diffuse optical tomography using generalized music algorithm. ISBI (2011)
Saiprasad Ravishankar, Yoram Bresler
Highly undersampled MRI using adaptive sparse representations. ISBI (2011)
Saiprasad Ravishankar, Yoram Bresler
Adaptive sampling design for compressed sensing MRI. EMBC (2011)
Behzad Sharif, Yoram Bresler
Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems CoRR (2011)
Behzad Sharif, Yoram Bresler
Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks. ISBI (2011)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yoram Bresler