Yoram Bresler - RankMe

227 papers A* 5B 9Misc 39Journal 124Unranked 50

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks. IEEE Trans. Inf. Theory Hai Victor Habi, Hagit Messer, Yoram Bresler
2025	J	`jnl`	Learned Bayesian Cramér-Rao Bound for Unknown Measurement Models Using Score Neural Networks. CoRR Hai Victor Habi, Hagit Messer, Yoram Bresler
2025	Misc	`conf`	Opportunities and challenges in learning to bound. CISS Hai Victor Habi, Hagit Messer, Yoram Bresler
2025	—	`conf`	RSR-NF: Neural Field Regularization by Static Restoration Priors for Computed Dynamic Imaging. MLSP Berk Iskender, Yoram Bresler, Sushan Nakarmi, Nitin Daphalapurkar, Marc Louis Klasky
2025	J	`jnl`	RSR-NF: Neural Field Regularization by Static Restoration Priors for Dynamic Imaging. CoRR Berk Iskender, Sushan Nakarmi, Nitin Daphalapurkar, Marc Louis Klasky, Yoram Bresler
2024	Misc	`conf`	Learning the Barankin Lower Bound on DOA Estimation Error. ICASSP Hai Victor Habi, Hagit Messer, Yoram Bresler
2024	J	`jnl`	RED-PSM: Regularization by Denoising of Factorized Low Rank Models for Dynamic Imaging. IEEE Trans. Computational Imaging Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	—	`conf`	Dynamic Tomography Reconstruction via Low-Rank Modeling with a RED Spatial Prior. CAMSAP Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	Misc	`conf`	Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography. ICASSP Berk Iskender, Marc Louis Klasky, Brian M. Patterson, Yoram Bresler
2023	J	`jnl`	Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications. IEEE Signal Process. Mag. Zhizhen Zhao, Jong Chul Ye, Yoram Bresler
2023	Misc	`conf`	Learned Generative Misspecified Lower Bound. ICASSP Hai Victor Habi, Hagit Messer, Yoram Bresler
2023	J	`jnl`	Learning to Bound: A Generative Cramér-Rao Bound. IEEE Trans. Signal Process. Hai Victor Habi, Hagit Messer, Yoram Bresler
2023	A*	`conf`	RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. ICCV Berk Iskender, Marc Louis Klasky, Yoram Bresler
2023	J	`jnl`	RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. CoRR Berk Iskender, Marc Louis Klasky, Yoram Bresler
2022	—	`conf`	A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution. SAM Hai Victor Habi, Hagit Messer, Yoram Bresler
2022	—	`conf`	Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling. IVMSP Berk Iskender, Yoram Bresler, Marc Louis Klasky
2022	Misc	`conf`	Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples. ICASSP Meghna Kalra, Yoram Bresler, Kiryung Lee
2022	J	`jnl`	Learning to Bound: A Generative Cramér-Rao Bound. CoRR Hai Victor Habi, Hagit Messer, Yoram Bresler
2022	J	`jnl`	Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning. IEEE Trans. Computational Imaging Berk Iskender, Yoram Bresler
2021	J	`jnl`	Joint Dimensionality Reduction for Separable Embedding Estimation. CoRR Yanjun Li, Bihan Wen, Hao Cheng, Yoram Bresler
2021	J	`jnl`	Scatter Correction in X-ray CT by Physics-Inspired Deep Learning. CoRR Berk Iskender, Yoram Bresler
2020	—	`conf`	A Physics-Motivated DNN for X-Ray CT Scatter Correction. ISBI Berk Iskender, Yoram Bresler
2020	J	`jnl`	A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems. CoRR Bihan Wen, Yanjun Li, Yuqi Li, Yoram Bresler
2020	J	`jnl`	Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers. IEEE Trans. Image Process. Bihan Wen, Yanjun Li, Yoram Bresler
2020	A*	`conf`	Improving Robustness of Deep-Learning-Based Image Reconstruction. ICML Ankit Raj, Yoram Bresler, Bo Li
2020	J	`jnl`	Improving Robustness of Deep-Learning-Based Image Reconstruction. CoRR Ankit Raj, Yoram Bresler, Bo Li
2020	J	`jnl`	Model selection with covariance matching based non-negative lasso. Signal Process. Arash Owrang, Yoram Bresler, Magnus Jansson
2020	Misc	`conf`	Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation. ACSSC Yuqi Li, Yoram Bresler
2020	J	`jnl`	Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks. IEEE Signal Process. Mag. Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
2019	J	`jnl`	Blind Gain and Phase Calibration via Sparse Spectral Methods. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2019	J	`jnl`	Bounding Multivariate Trigonometric Polynomials. IEEE Trans. Signal Process. Luke Pfister, Yoram Bresler
2019	A*	`conf`	GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems. ICCV Ankit Raj, Yuqi Li, Yoram Bresler
2019	J	`jnl`	GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees. CoRR Ankit Raj, Yuqi Li, Yoram Bresler
2019	J	`jnl`	Learning Filter Bank Sparsifying Transforms. IEEE Trans. Signal Process. Luke Pfister, Yoram Bresler
2019	Misc	`conf`	Multichannel Sparse Blind Deconvolution on the Sphere. ICASSP Yanjun Li, Yoram Bresler
2019	J	`jnl`	Multichannel Sparse Blind Deconvolution on the Sphere. IEEE Trans. Inf. Theory Yanjun Li, Yoram Bresler
2019	J	`jnl`	Transform Learning for Magnetic Resonance Image Reconstruction: From Model-based Learning to Building Neural Networks. CoRR Bihan Wen, Saiprasad Ravishankar, Luke Pfister, Yoram Bresler
2019	J	`jnl`	VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising. IEEE Trans. Image Process. Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2018	A*	`conf`	Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. NeurIPS Yanjun Li, Yoram Bresler
2018	J	`jnl`	Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere. CoRR Yanjun Li, Yoram Bresler
2018	J	`jnl`	Learning Filter Bank Sparsifying Transforms. CoRR Luke Pfister, Yoram Bresler
2018	J	`jnl`	Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization. IEEE Trans. Inf. Theory Kiryung Lee, Yihong Wu, Yoram Bresler
2018	J	`jnl`	The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling. CoRR Bihan Wen, Yanjun Li, Yoram Bresler
2017	Misc	`conf`	Automatic parameter tuning for image denoising with learned sparsifying transforms. ICASSP Luke Pfister, Yoram Bresler
2017	J	`jnl`	Blind Gain and Phase Calibration via Sparse Spectral Methods. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2017	J	`jnl`	Blind Recovery of Sparse Signals From Subsampled Convolution. IEEE Trans. Inf. Theory Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
2017	J	`jnl`	Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2017	J	`jnl`	Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2017	A*	`conf`	Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising. ICCV Bihan Wen, Yanjun Li, Luke Pfister, Yoram Bresler
2017	J	`jnl`	VIDOSAT: High-dimensional Sparsifying Transform Learning for Online Video Denoising. CoRR Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2017	Misc	`conf`	When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration. ICASSP Bihan Wen, Yanjun Li, Yoram Bresler
2016	J	`jnl`	Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. IEEE Trans. Computational Imaging Saiprasad Ravishankar, Yoram Bresler
2016	J	`jnl`	Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors. CoRR Yanjun Li, Yoram Bresler
2016	J	`jnl`	Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints. IEEE Trans. Inf. Theory Yanjun Li, Kiryung Lee, Yoram Bresler
2016	B	`conf`	Learning flipping and rotation invariant sparsifying transforms. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2016	J	`jnl`	Optimal Sample Complexity for Blind Gain and Phase Calibration. IEEE Trans. Signal Process. Yanjun Li, Kiryung Lee, Yoram Bresler
2016	J	`jnl`	Optimal Sample Complexity for Stable Matrix Recovery. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2016	B	`conf`	Optimal sample complexity for stable matrix recovery. ISIT Yanjun Li, Kiryung Lee, Yoram Bresler
2016	—	`conf`	Range-space based identification of parametric linear systems. IVMSP Elad Yarkony, Yuliy M. Baryshnikov, Yoram Bresler
2015	J	`jnl`	A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Blind Recovery of Sparse Signals from Subsampled Convolution. CoRR Kiryung Lee, Yanjun Li, Marius Junge, Yoram Bresler
2015	J	`jnl`	Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing. CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI. CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging. SIAM J. Imaging Sci. Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	FRIST - Flipping and Rotation Invariant Sparsifying Transform Learning and Applications. CoRR Bihan Wen, Yoram Bresler, Saiprasad Ravishankar
2015	J	`jnl`	Identifiability in Blind Deconvolution under Minimal Assumptions. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Identifiability in Blind Deconvolution with Subspace or Sparsity Constraints. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty. IEEE Trans. Signal Process. Jong Chul Ye, Jong Min Kim, Yoram Bresler
2015	J	`jnl`	Improving M-SBL for Joint Sparse Recovery using a Subspace Penalty. CoRR Jong Chul Ye, Jong Min Kim, Yoram Bresler
2015	J	`jnl`	Online Sparsifying Transform Learning - Part I: Algorithms. IEEE J. Sel. Top. Signal Process. Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
2015	J	`jnl`	Online Sparsifying Transform Learning - Part II: Convergence Analysis. IEEE J. Sel. Top. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	Optimal Sample Complexity for Blind Gain and Phase Calibration. CoRR Yanjun Li, Kiryung Lee, Yoram Bresler
2015	J	`jnl`	Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications. Int. J. Comput. Vis. Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2015	B	`conf`	Video denoising by online 3D sparsifying transform learning. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	ℓ CoRR Saiprasad Ravishankar, Yoram Bresler
2015	J	`jnl`	ℓ IEEE Trans. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2014	Misc	`conf`	Doubly sparse transform learning with convergence guarantees. ICASSP Saiprasad Ravishankar, Yoram Bresler
2014	B	`conf`	Learning overcomplete sparsifying transforms with block cosparsity. ICIP Bihan Wen, Saiprasad Ravishankar, Yoram Bresler
2014	—	`conf`	Model-based iterative tomographic reconstruction with adaptive sparsifying transforms. Computational Imaging Luke Pfister, Yoram Bresler
2014	J	`jnl`	Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI. IEEE Trans. Medical Imaging Huisu Yoon, Kyung Sang Kim, Daniel Kim, Yoram Bresler, Jong Chul Ye
2014	—	`conf`	Online sparsifying transform learning for signal processing. GlobalSIP Saiprasad Ravishankar, Bihan Wen, Yoram Bresler
2014	Misc	`conf`	Tomographic reconstruction with adaptive sparsifying transforms. ICASSP Luke Pfister, Yoram Bresler
2013	Misc	`conf`	Closed-form solutions within sparsifying transform learning. ICASSP Saiprasad Ravishankar, Yoram Bresler
2013	J	`jnl`	Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation". IEEE Trans. Inf. Theory Kiryung Lee, Yoram Bresler
2013	J	`jnl`	Learning Doubly Sparse Transforms for Images. IEEE Trans. Image Process. Saiprasad Ravishankar, Yoram Bresler
2013	J	`jnl`	Learning Sparsifying Transforms. IEEE Trans. Signal Process. Saiprasad Ravishankar, Yoram Bresler
2013	Misc	`conf`	Learning overcomplete sparsifying transforms for signal processing. ICASSP Saiprasad Ravishankar, Yoram Bresler
2013	J	`jnl`	Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization. CoRR Kiryung Lee, Yihong Wu, Yoram Bresler
2013	J	`jnl`	Oblique Pursuits for Compressed Sensing. IEEE Trans. Inf. Theory Kiryung Lee, Yoram Bresler, Marius Junge
2013	B	`conf`	Oblique pursuits for compressed sensing with random anisotropic measurements. ISIT Kiryung Lee, Yoram Bresler, Marius Junge
2013	—	`conf`	Sparsifying transform learning for Compressed Sensing MRI. ISBI Saiprasad Ravishankar, Yoram Bresler
2013	Misc	`conf`	Subspace penalized sparse learning for joint sparse recovery. ICASSP Jong Chul Ye, Jong Min Kim, Yoram Bresler
2012	B	`conf`	Learning doubly sparse transforms for image representation. ICIP Saiprasad Ravishankar, Yoram Bresler
2012	B	`conf`	Learning sparsifying transforms for image processing. ICIP Saiprasad Ravishankar, Yoram Bresler
2012	J	`jnl`	Oblique Pursuits for Compressed Sensing CoRR Kiryung Lee, Yoram Bresler, Marius Junge
2012	J	`jnl`	Subspace Methods for Joint Sparse Recovery. IEEE Trans. Inf. Theory Kiryung Lee, Yoram Bresler, Marius Junge
2011	—	`conf`	Adaptive sampling design for compressed sensing MRI. EMBC Saiprasad Ravishankar, Yoram Bresler
2011	J	`jnl`	Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity. IEEE Trans. Medical Imaging Ok Kyun Lee, Jong Min Kim, Yoram Bresler, Jong Chul Ye
2011	—	`conf`	Diffuse optical tomography using generalized music algorithm. ISBI Ok Kyun Lee, Jongmin Kim, Yoram Bresler, Jong Chul Ye
2011	—	`conf`	Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks. ISBI Behzad Sharif, Yoram Bresler
2011	J	`jnl`	Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems. IEEE Trans. Signal Process. Behzad Sharif, Yoram Bresler
2011	J	`jnl`	Generic Feasibility of Perfect Reconstruction with Short FIR Filters in Multi-channel Systems CoRR Behzad Sharif, Yoram Bresler
2011	J	`jnl`	Guest Editorial Compressive Sensing for Biomedical Imaging. IEEE Trans. Medical Imaging Ge Wang, Yoram Bresler, Vasilis Ntziachristos
2011	—	`conf`	Highly undersampled MRI using adaptive sparse representations. ISBI Saiprasad Ravishankar, Yoram Bresler
2011	J	`jnl`	MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning. IEEE Trans. Medical Imaging Saiprasad Ravishankar, Yoram Bresler
2010	J	`jnl`	ADMiRA: atomic decomposition for minimum rank approximation. IEEE Trans. Inf. Theory Kiryung Lee, Yoram Bresler
2010	J	`jnl`	iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank CoRR Kiryung Lee, Yoram Bresler
2009	J	`jnl`	ADMiRA: Atomic Decomposition for Minimum Rank Approximation CoRR Kiryung Lee, Yoram Bresler
2009	J	`jnl`	Efficient and Guaranteed Rank Minimization by Atomic Decomposition CoRR Kiryung Lee, Yoram Bresler
2009	B	`conf`	Efficient and guaranteed rank minimization by atomic decomposition. ISIT Yoram Bresler, Kiryung Lee
2009	J	`jnl`	Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint CoRR Kiryung Lee, Yoram Bresler
2008	Misc	`conf`	Computing performance guarantees for compressed sensing. ICASSP Kiryung Lee, Yoram Bresler
2008	—	`conf`	Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation. ISBI Jong Chul Ye, Su Yeon Lee, Yoram Bresler
2008	—	`conf`	Fast acquisition and reconstruction in imaging enabled by sampling theory. Computational Imaging Yoram Bresler
2008	—	`conf`	Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter. ISBI Ashvin K. George, Mark D. Butala, Richard A. Frazin, Farzad Kamalabadi, Yoram Bresler
2008	Misc	`conf`	Upper bounds on aliasing error energy for multidimensional sampling of nonbandlimited signals. ICASSP Behzad Sharif, Yoram Bresler
2007	—	`conf`	Adaptive Real-Time Cardiac MRI Using Paradise: Validation by the Physiologically Improved Ncat Phantom. ISBI Behzad Sharif, Yoram Bresler
2007	—	`conf`	Affine-Corrected Paradise: Free-Breathing Patient-Adaptive Cardiac Mri With Sensitivity Encoding. ISBI Behzad Sharif, Yoram Bresler
2007	J	`jnl`	Fast Tomographic Reconstruction via Rotation-Based Hierarchical Backprojection. SIAM J. Appl. Math. Ashvin K. George, Yoram Bresler
2007	—	`conf`	Patient-Adaptive Spatio-Temporal Mri: From Paradigm to Paradise and Beyond. ISBI Yoram Bresler, Nitin Aggarwal, Behzad Sharif
2007	J	`jnl`	Shear-Based Fast Hierarchical Backprojection for Parallel-Beam Tomography. IEEE Trans. Medical Imaging Ashvin K. George, Yoram Bresler
2006	—	`conf`	A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm. ISBI Ashvin K. George, Yoram Bresler
2006	J	`jnl`	Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems. IEEE Trans. Image Process. Jong Chul Ye, Pierre Moulin, Yoram Bresler
2006	—	`conf`	Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils. ISBI Behzad Sharif, Yoram Bresler
2006	—	`conf`	Reconstruction of functional activations in diffuse optical imaging. ISBI Mathews Jacob, Vlad Toronov, Yoram Bresler, Xiaofeng Zhang, Andrew G. Webb
2006	—	`conf`	Region-of-interest MRI: k-space sampling conditions. ISBI Nitin Aggarwal, Yoram Bresler
2005	J	`jnl`	Antisequential Suffix Sorting for BWT-Based Data Compression. IEEE Trans. Computers Dror Baron, Yoram Bresler
2004	—	`conf`	A Hierarchical Algorithm for Fast Backprojection in Helical Cone-Beam Tomography. ISBI Jeffrey Brokish, Yoram Bresler
2004	—	`conf`	Accelerated Parallel Magnetic Resonance Imaging by Adaptive K-Space Sampling. ISBI Nitin Aggarwal, Yoram Bresler
2004	J	`jnl`	An O(N) semipredictive universal encoder via the BWT. IEEE Trans. Inf. Theory Dror Baron, Yoram Bresler
2004	J	`jnl`	Multiple-Input Multiple-Output Sampling: Necessary Density Conditions. IEEE Trans. Inf. Theory Raman Venkataramani, Yoram Bresler
2004	—	`conf`	Spatio-Temporal Modeling and Adaptive Acquisition for Cardiac MRI. ISBI Nitin Aggarwal, Saptarshi Bandyopadhyay, Yoram Bresler
2003	J	`jnl`	Cramer-Rao bounds for parametric shape estimation in inverse problems. IEEE Trans. Image Process. Jong Chul Ye, Yoram Bresler, Pierre Moulin
2003	—	`conf`	Fast Feldkamp algorithm for cone-beam computer tomography. ICIP (2) Shu Xiao, Yoram Bresler, David C. Munson Jr.
2003	—	`conf`	Fast hierarchical backprojection for helical cone-beam tomography. ICIP (2) Yoram Bresler, Jeffrey Brokish
2003	J	`jnl`	Filter design for MIMO sampling and reconstruction. IEEE Trans. Signal Process. Raman Venkataramani, Yoram Bresler
2003	—	`conf`	Optimal sampling in parallel magnetic resonance imaging. ICIP (2) Nitin Aggarwal, Yoram Bresler
2003	J	`jnl`	Sampling theorems for uniform and periodic nonuniform MIMO sampling of multiband signals. IEEE Trans. Signal Process. Raman Venkataramani, Yoram Bresler
2002	J	`jnl`	A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples. Int. J. Comput. Vis. Jong Chul Ye, Yoram Bresler, Pierre Moulin
2002	—	`conf`	Complexity regularized shape estimation from noisy Fourier data. ICIP (2) Natalia A. Schmid, Yoram Bresler, Pierre Moulin
2002	—	`conf`	Cramer-Rao bounds for parametric shape estimation. ICIP (2) Jong Chul Ye, Yoram Bresler, Pierre Moulin
2002	J	`jnl`	Electro-magnetic Impedance Tomography (EMIT): A New Method for Impedance Imaging. IEEE Trans. Medical Imaging Shai Levy, Dan Adams, Yoram Bresler
2002	—	`conf`	Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals. ISBI Yoram Bresler
2002	J	`jnl`	O (N3logN) Backprojection Algorithm for the 3D Radon Transform. IEEE Trans. Medical Imaging Samit Basu, Yoram Bresler
2002	—	`conf`	O(N ISBI Shu Xiao, Yoram Bresler, David C. Munson Jr.
2002	—	`conf`	Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI. ISBI Nitin Aggarwal, Qi Zhao, Yoram Bresler
2001	—	`conf`	A self-referencing level-set method for image reconstruction from sparse Fourier samples. ICIP (2) Jong Chul Ye, Yoram Bresler, Pierre Moulin
2001	J	`jnl`	Error analysis and performance optimization of fast hierarchical backprojection algorithms. IEEE Trans. Image Process. Samit Basu, Yoram Bresler
2001	J	`jnl`	Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals. IEEE Trans. Signal Process. Raman Venkataramani, Yoram Bresler
2000	B	`conf`	A Multilevel Domain Decomposition Algorithm for Fast O(N ICIP Amir Boag, Yoram Bresler, Eric Michielssen
2000	J	`jnl`	A global lower bound on parameter estimation error with periodic distortion functions. IEEE Trans. Inf. Theory Samit Basu, Yoram Bresler
2000	J	`jnl`	A multilevel domain decomposition algorithm for fast O(N IEEE Trans. Image Process. Amir Boag, Yoram Bresler, Eric Michielssen
2000	J	`jnl`	Asymptotic global confidence regions in parametric shape estimation problems. IEEE Trans. Inf. Theory Jong Chul Ye, Yoram Bresler, Pierre Moulin
2000	J	`jnl`	Feasibility of tomography with unknown view angles. IEEE Trans. Image Process. Samit Basu, Yoram Bresler
2000	Misc	`conf`	Global confidence regions in parametric shape estimation. ICASSP Jong Chul Ye, Yoram Bresler, Pierre Moulin
2000	J	`jnl`	O(N IEEE Trans. Image Process. Samit Basu, Yoram Bresler
2000	J	`jnl`	On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem. SIAM J. Matrix Anal. Appl. Christophe Couvreur, Yoram Bresler
2000	Misc	`conf`	On the necessary density for spectrum-blind nonuniform sampling subject to quantization. ICASSP Michael Gastpar, Yoram Bresler
2000	J	`jnl`	Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals. IEEE Trans. Inf. Theory Raman Venkataramani, Yoram Bresler
2000	J	`jnl`	Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals. IEEE Trans. Signal Process. Sze-Fong Yau, Yoram Bresler
2000	J	`jnl`	The stability of nonlinear least squares problems and the Cramer-Rao bound. IEEE Trans. Signal Process. Samit Basu, Yoram Bresler
2000	J	`jnl`	Uniqueness of tomography with unknown view angles. IEEE Trans. Image Process. Samit Basu, Yoram Bresler
1999	J	`jnl`	Exact image deconvolution from multiple FIR blurs. IEEE Trans. Image Process. Gopal Harikumar, Yoram Bresler
1999	J	`jnl`	Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms. IEEE Trans. Image Process. Gopal Harikumar, Yoram Bresler
1999	J	`jnl`	Theoretical analysis of multispectral image segmentation criteria. IEEE Trans. Image Process. Ian B. Kerfoot, Yoram Bresler
1998	J	`jnl`	FIR perfect signal reconstruction from multiple convolutions: minimum deconvolver orders. IEEE Trans. Signal Process. Gopal Harikumar, Yoram Bresler
1998	Misc	`conf`	Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems. ICASSP Gopal Harikumar, Christophe Couvreur, Yoram Bresler
1998	—	`conf`	Feasibility of Tomography with Unknown View Angles. ICIP (2) Samit Basu, Yoram Bresler
1998	—	`conf`	Further Results on Spectrum Blind Sampling of 2D Signals. ICIP (2) Raman Venkataramani, Yoram Bresler
1998	J	`jnl`	Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography. IEEE Trans. Image Process. Alexander H. Delaney, Yoram Bresler
1998	Misc	`conf`	Sub-Nyquist sampling of multiband signals: perfect reconstruction and bounds on aliasing error. ICASSP Raman Venkataramani, Yoram Bresler
1997	Misc	`conf`	Doppler-based motion estimation for wide-band sources from single passive sensor measurements. ICASSP Christophe Couvreur, Yoram Bresler
1997	J	`jnl`	Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: I. IEEE Trans. Inf. Theory N. Parker Willis, Yoram Bresler
1997	J	`jnl`	Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: II. Large space-bandwidth product asymptotics. IEEE Trans. Inf. Theory N. Parker Willis, Yoram Bresler
1997	J	`jnl`	The degradation of higher order spectral detection using narrowband processing. IEEE Trans. Signal Process. Lee M. Garth, Yoram Bresler
1997	Misc	`conf`	Tomography with unknown view angles. ICASSP Samit Basu, Yoram Bresler
1996	J	`jnl`	A comparison of optimized higher order spectral detection techniques for non-Gaussian signals. IEEE Trans. Signal Process. Lee M. Garth, Yoram Bresler
1996	J	`jnl`	A fast and accurate Fourier algorithm for iterative parallel-beam tomography. IEEE Trans. Image Process. Alexander H. Delaney, Yoram Bresler
1996	Misc	`conf`	A new algorithm for computing sparse solutions to linear inverse problems. ICASSP Gopal Harikumar, Yoram Bresler
1996	J	`jnl`	Bounds on the aliasing error in multidimensional Shannon sampling. IEEE Trans. Inf. Theory Yoram Bresler
1996	Misc	`conf`	Dictionary-based decomposition of linear mixtures of Gaussian processes. ICASSP Christophe Couvreur, Yoram Bresler
1996	—	`conf`	Efficient algorithms for the blind recovery of images blurred by multiple filters. ICIP (3) Gopal Harikumar, Yoram Bresler
1996	J	`jnl`	Feature extraction techniques for exploratory visualization of vector-valued imagery. IEEE Trans. Image Process. Gopal Harikumar, Yoram Bresler
1996	J	`jnl`	On the robustness of parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. Sze-Fong Yau, Yoram Bresler
1996	J	`jnl`	On the use of asymptotics in detection and estimation. IEEE Trans. Signal Process. Lee M. Garth, Yoram Bresler
1996	—	`conf`	Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals. ICIP (1) Yoram Bresler, Ping Feng
1996	Misc	`conf`	Spectrum-blind minimum-rate sampling and reconstruction of multiband signals. ICASSP Ping Feng, Yoram Bresler
1995	Misc	`conf`	A fast iterative tomographic reconstruction algorithm. ICASSP Alexander H. Delaney, Yoram Bresler
1995	Misc	`conf`	Decomposition of a mixture of Gaussian AR processes. ICASSP Christophe Couvreur, Yoram Bresler
1995	—	`conf`	Efficient edge-preserving regularization for limited-angle tomography. ICIP (3) Alexander H. Delaney, Yoram Bresler
1995	J	`jnl`	Multiresolution tomographic reconstruction using wavelets. IEEE Trans. Image Process. Alexander H. Delaney, Yoram Bresler
1995	J	`jnl`	Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations. IEEE Trans. Image Process. N. Parker Willis, Yoram Bresler
1995	J	`jnl`	Optimal scan for time-varying tomography. II. Efficient design and experimental validation. IEEE Trans. Image Process. N. Parker Willis, Yoram Bresler
1995	Misc	`conf`	Some recent results in tomography. ICASSP Yoram Bresler
1994	—	`conf`	Analysis of feature extraction criteria for vector field visualization. ICPR (3) Gopal Harikumar, Yoram Bresler
1994	—	`conf`	Multiresolution Tomographic Reconstruction using Wavelets. ICIP (2) Alexander H. Delaney, Yoram Bresler
1994	—	`conf`	Theoretical Analysis of a Multiscale Algorithm for the Direct Segmentation of Tomographic Images. ICIP (2) Ian B. Kerfoot, Yoram Bresler
1994	—	`conf`	Unified time-sequential sampling theory for spatio-temporal signals. ICPR (3) Yoram Bresler
1994	—	`conf`	Vector Field Visualization: Analysis of Feature Extraction Methods. ICIP (2) Gopal Harikumar, Yoram Bresler
1993	—	`conf`	Design and theoretical analysis of a vector field segmentation algorithm. ICASSP (5) Ian B. Kerfoot, Yoram Bresler
1993	J	`jnl`	Maximum likelihood parameter estimation of superimposed signals by dynamic programming. IEEE Trans. Signal Process. Sze-Fong Yau, Yoram Bresler
1993	—	`conf`	On the inferiority of higher-order detection in narrowband processing. ICASSP (4) Lee M. Garth, Yoram Bresler
1993	—	`conf`	Optimal scan design for time-varying tomographic imaging. ICASSP (5) Yoram Bresler, N. Parker Willis
1992	J	`jnl`	A compact Cramer-Rao bound expression for parametric estimation of superimposed signals. IEEE Trans. Signal Process. Sze-Fong Yau, Yoram Bresler
1992	Misc	`conf`	A new approach to the time-sequential sampling problem. ICASSP N. Parker Willis, Yoram Bresler
1992	Misc	`conf`	Image restoration by complexity regularization via dynamic programming. ICASSP Sze Fong Yau, Yoram Bresler
1992	J	`jnl`	Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method. Signal Process. Sze Fong Yau, Yoram Bresler
1992	—	`conf`	Multiparameter image visualization by projection pursuit (Proceedings Only). VBC Gopal Harikumar, Yoram Bresler
1992	—	`conf`	New paradigm for optimal multiparameter image visualization. VBC Robert W. Boesel, Yoram Bresler
1992	J	`jnl`	Norm variance of minimax interpolation. IEEE Trans. Inf. Theory N. Parker Willis, Yoram Bresler
1992	J	`jnl`	Worst case Cramer-Rao bounds for parametric estimation of superimposed signals with applications. IEEE Trans. Signal Process. Sze-Fong Yau, Yoram Bresler
1991	Misc	`conf`	On the resolution capacity of wideband sensor arrays: further results. ICASSP Yoram Bresler
1991	Misc	`conf`	Performance analysis of parameter estimation of superimposed signals by dynamic programming. ICASSP Sze Fong Yau, Yoram Bresler
1990	Misc	`conf`	A parametric technique for superresolution image reconstruction. ICASSP Yoram Bresler, Scott P. Litke
1990	Misc	`conf`	Parameter estimation of superimposed signals by dynamic programming. ICASSP Sze Fong Yau, Yoram Bresler
1989	J	`jnl`	A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain. IEEE Trans. Pattern Anal. Mach. Intell. Yoram Bresler, Jeffrey A. Fessler, Albert Macovski
1989	Misc	`conf`	Optimal interpolation in helical scan 3D computerized tomography. ICASSP Yoram Bresler, Carl J. Skrabacz
1989	Misc	`conf`	Resolution of overlapping echoes of unknown shape. ICASSP Yoram Bresler, Alexander H. Delaney
1988	J	`jnl`	Model-based estimation techniques for 3-D reconstruction from projections. Mach. Vis. Appl. Yoram Bresler, Jeffrey A. Fessler, Albert Macovski
1988	J	`jnl`	Optimum beamforming for coherent signal and interferences. IEEE Trans. Acoust. Speech Signal Process. Yoram Bresler, Vellenki Umapathi Reddy, Thomas Kailath
1987	Misc	`conf`	A polynomial approach to optimum beamforming for correlated or coherent signal and interference. ICASSP Yoram Bresler, Vellenki U. Reddi, Thomas Kailath
1987	J	`jnl`	Recursive image registration with application to motion estimation. IEEE Trans. Acoust. Speech Signal Process. Yoram Bresler, Shmuel J. Merhav
1987	J	`jnl`	Three-dimensional reconstruction from projections with incomplete and noisy data by object estimation. IEEE Trans. Acoust. Speech Signal Process. Yoram Bresler, Albert Macovski
1986	J	`jnl`	Exact maximum likelihood parameter estimation of superimposed exponential signals in noise. IEEE Trans. Acoust. Speech Signal Process. Yoram Bresler, Albert Macovski
1986	J	`jnl`	On the number of signals resolvable by a uniform linear array. IEEE Trans. Acoust. Speech Signal Process. Yoram Bresler, Albert Macovski
1985	Misc	`conf`	Exact maximum likelihood estimation of superimposed exponential signals in noise. ICASSP Yoram Bresler, Albert Macovski
1984	Misc	`conf`	3-D reconstruction from projections based on dynamic object models. ICASSP Yoram Bresler, Albert Macovski