Yoram Bresler
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(Suggest an Edit or Addition)Yoram Bresler's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- MR Image Reconstruction From Highly Undersampled k-Space Data by Dictionary Learning (2011) (898)
- Exact maximum likelihood parameter estimation of superimposed exponential signals in noise (1986) (784)
- Spectrum-blind minimum-rate sampling and reconstruction of multiband signals (1996) (326)
- Learning Sparsifying Transforms (2013) (322)
- Globally convergent edge-preserving regularized reconstruction: an application to limited-angle tomography (1998) (305)
- ADMiRA: Atomic Decomposition for Minimum Rank Approximation (2009) (292)
- Perfect reconstruction formulas and bounds on aliasing error in sub-nyquist nonuniform sampling of multiband signals (2000) (274)
- Subspace Methods for Joint Sparse Recovery (2010) (219)
- Perfect blind restoration of images blurred by multiple filters: theory and efficient algorithms (1999) (197)
- O(N2log2N) filtered backprojection reconstruction algorithm for tomography (2000) (189)
- Optimal sub-Nyquist nonuniform sampling and reconstruction for multiband signals (2001) (161)
- Structured Overcomplete Sparsifying Transform Learning with Convergence Guarantees and Applications (2015) (156)
- Multiresolution tomographic reconstruction using wavelets (1994) (134)
- On the Optimality of the Backward Greedy Algorithm for the Subset Selection Problem (2000) (133)
- A compact Cramer-Rao bound expression for parametric estimation of superimposed signals (1992) (115)
- On the number of signals resolvable by a uniform linear array (1986) (113)
- Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity (2011) (99)
- Optimum beamforming for coherent signal and interferences (1988) (98)
- $\ell_{0}$ Sparsifying Transform Learning With Efficient Optimal Updates and Convergence Guarantees (2015) (97)
- Spectrum-blind sampling and compressive sensing for continuous-index signals (2008) (96)
- Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to Magnetic Resonance Imaging (2015) (93)
- Exact image deconvolution from multiple FIR blurs (1999) (87)
- Uniqueness of tomography with unknown view angles (2000) (81)
- A fast and accurate Fourier algorithm for iterative parallel-beam tomography (1996) (81)
- FIR perfect signal reconstruction from multiple convolutions: minimum deconvolver orders (1998) (80)
- Online Sparsifying Transform Learning— Part I: Algorithms (2015) (77)
- Spectrum-blind minimum-rate sampling and reconstruction of 2-D multiband signals (1996) (76)
- Maximum likelihood estimation of a linearly structured covariance with application to antenna array processing (1988) (76)
- Adaptive sampling design for compressed sensing MRI (2011) (73)
- Blind Recovery of Sparse Signals From Subsampled Convolution (2015) (70)
- Identifiability in Blind Deconvolution With Subspace or Sparsity Constraints (2015) (69)
- Further results on spectrum blind sampling of 2D signals (1998) (69)
- A Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain (1989) (68)
- A new algorithm for computing sparse solutions to linear inverse problems (1996) (65)
- Sparsifying transform learning for Compressed Sensing MRI (2013) (63)
- Learning Doubly Sparse Transforms for Images (2013) (62)
- Feasibility of tomography with unknown view angles (1998) (62)
- Data-Driven Learning of a Union of Sparsifying Transforms Model for Blind Compressed Sensing (2015) (61)
- Short Acquisition Time Super-Resolution Ultrasound Microvessel Imaging via Microbubble Separation (2020) (60)
- Motion Adaptive Patch-Based Low-Rank Approach for Compressed Sensing Cardiac Cine MRI (2014) (60)
- Near-Optimal Compressed Sensing of a Class of Sparse Low-Rank Matrices Via Sparse Power Factorization (2013) (56)
- Learning overcomplete sparsifying transforms for signal processing (2013) (55)
- Closed-form solutions within sparsifying transform learning (2013) (55)
- Sampling theorems for uniform and periodic nonuniform MIMO sampling of multiband signals (2003) (52)
- An N2logN back-projection algorithm for SAR image formation (2000) (51)
- Two-filter formulae for discrete-time non-linear bayesian smoothing (1986) (51)
- Video denoising by online 3D sparsifying transform learning (2015) (50)
- Transform Learning for Magnetic Resonance Image Reconstruction: From Model-Based Learning to Building Neural Networks (2019) (50)
- When sparsity meets low-rankness: Transform learning with non-local low-rank constraint for image restoration (2017) (48)
- Near Optimal Compressed Sensing of Sparse Rank-One Matrices via Sparse Power Factorization (2013) (48)
- Parameter estimation of superimposed signals by dynamic programming (1990) (46)
- Three-dimensional reconstruction from projections with incomplete and noisy data by object estimation (1987) (46)
- Joint Adaptive Sparsity and Low-Rankness on the Fly: An Online Tensor Reconstruction Scheme for Video Denoising (2017) (45)
- Guest Editorial Compressive Sensing for Biomedical Imaging (2011) (45)
- Optimal scan for time-varying tomography. I. Theoretical analysis and fundamental limitations (1995) (44)
- A self-referencing level-set method for image reconstruction from sparse Fourier samples (2001) (44)
- Patient‐adaptive reconstruction and acquisition in dynamic imaging with sensitivity encoding (PARADISE) (2010) (43)
- Online Sparsifying Transform Learning—Part II: Convergence Analysis (2015) (43)
- On-line Vehicle Motion Estimation from Visual Terrain Information Part II: Ground Velocity and Position Estimation (1986) (43)
- Asymptotic global confidence regions in parametric shape estimation problems (2000) (42)
- GAN-Based Projector for Faster Recovery With Convergence Guarantees in Linear Inverse Problems (2019) (42)
- On-Line Vehicle Motion Estimation from Visual Terrain Information Part I: Recursive Image Registration (1986) (42)
- FRIST—flipping and rotation invariant sparsifying transform learning and applications (2015) (41)
- Guaranteed Minimum Rank Approximation from Linear Observations by Nuclear Norm Minimization with an Ellipsoidal Constraint (2009) (41)
- Doppler-based motion estimation for wide-band sources from single passive sensor measurements (1997) (39)
- A multilevel domain decomposition algorithm for fast O(N/sup 2/logN) reprojection of tomographic images (2000) (39)
- Sub-Nyquist sampling of multiband signals: perfect reconstruction and bounds on aliasing error (1998) (39)
- Global Geometry of Multichannel Sparse Blind Deconvolution on the Sphere (2018) (38)
- Model‐assisted ionospheric tomography: A new algorithm (1994) (36)
- Fast Feldkamp algorithm for cone-beam computer tomography (2003) (36)
- Worst case Cramer-Rao bounds for parametric estimation of superimposed signals with applications (1992) (36)
- Patient-adapted reconstruction and acquisition dynamic imaging method (PARADIGM) for MRI (2008) (36)
- Image Recovery via Transform Learning and Low-Rank Modeling: The Power of Complementary Regularizers (2020) (34)
- Tomographic reconstruction with adaptive sparsifying transforms (2014) (34)
- Oblique Pursuits for Compressed Sensing (2012) (33)
- Electromagnetic impedance tomography (EMIT): a new method for impedance imaging (2002) (33)
- On the necessary density for spectrum-blind nonuniform sampling subject to quantization (2000) (32)
- O (N3logN) Backprojection Algorithm for the 3D Radon Transform (2002) (31)
- Recursive image registration with application to motion estimation (1987) (31)
- An O(N) semipredictive universal encoder via the BWT (2004) (31)
- Theoretical analysis of multispectral image segmentation criteria (1999) (31)
- Lattice-theoretic analysis of time-sequential sampling of spatiotemporal signals: I (1997) (31)
- Optimal scan for time-varying tomography. II. Efficient design and experimental validation (1995) (30)
- Improving Robustness of Deep-Learning-Based Image Reconstruction (2020) (30)
- A global lower bound on parameter estimation error with periodic distortion functions (2000) (30)
- A Unified Framework for Identifiability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models (2015) (30)
- Identifiability and Stability in Blind Deconvolution Under Minimal Assumptions (2015) (30)
- Fast optimal and suboptimal algorithms for sparse solutions to linear inverse problems (1998) (29)
- Model-based iterative tomographic reconstruction with adaptive sparsifying transforms (2014) (29)
- Learning sparsifying transforms for image processing (2012) (29)
- Identifiability in Bilinear Inverse Problems With Applications to Subspace or Sparsity-Constrained Blind Gain and Phase Calibration (2017) (29)
- Error analysis and performance optimization of fast hierarchical backprojection algorithms (2001) (29)
- Cramer-Rao bounds for parametric shape estimation (2002) (28)
- The stability of nonlinear least squares problems and the Cramer-Rao bound (2000) (27)
- Exact maximum likelihood estimation of superimposed exponential signals in noise (1985) (27)
- Cramer-Rao bounds for 2-D target shape estimation in nonlinear inverse scattering problems with application to passive radar (2001) (27)
- Subspace-augmented MUSIC for joint sparse recovery with any rank (2010) (26)
- Efficient Blind Compressed Sensing Using Sparsifying Transforms with Convergence Guarantees and Application to MRI (2015) (26)
- A comparison of optimized higher order spectral detection techniques for non-Gaussian signals (1996) (26)
- VIDOSAT: High-Dimensional Sparsifying Transform Learning for Online Video Denoising (2017) (26)
- Estimation Of 3-D Shape Of Blood Vessels From X-Ray Images. (1984) (26)
- Filter design for MIMO sampling and reconstruction (2003) (25)
- Optimal interpolation in helical scan 3D computerized tomography (1989) (25)
- ADAPTIVE REAL-TIME CARDIAC MRI USING PARADISE: VALIDATION BY THE PHYSIOLOGICALLY IMPROVED NCAT PHANTOM (2007) (23)
- Learning Filter Bank Sparsifying Transforms (2018) (23)
- Blind Gain and Phase Calibration via Sparse Spectral Methods (2017) (21)
- Exact reconstruction formula for diffuse optical tomography using simultaneous sparse representation (2008) (21)
- Analysis and comparative evaluation of techniques for multichannel blind deconvolution (1996) (20)
- Computing performance guarantees for compressed sensing (2008) (20)
- Level-set algorithm for the reconstruction of functional activation in near-infrared spectroscopic imaging. (2006) (20)
- Efficient algorithms for the blind recovery of images blurred by multiple filters (1996) (20)
- Spatio-temporal modeling and minimum redundancy adaptive acquisition in dynamic MRI (2002) (20)
- Fast Tomographic Reconstruction via Rotation-Based Hierarchical Backprojection (2007) (20)
- A Self-Referencing Level-Set Method for Image Reconstruction from Sparse Fourier Samples (2001) (20)
- Optimal Sample Complexity for Blind Gain and Phase Calibration (2015) (20)
- Dynamic PET reconstruction using temporal patch-based low rank penalty for ROI-based brain kinetic analysis (2015) (19)
- Stability in blind deconvolution of sparse signals and reconstruction by alternating minimization (2015) (19)
- Efficient and guaranteed rank minimization by atomic decomposition (2009) (19)
- Feature extraction techniques for exploratory visualization of vector-valued imagery (1996) (18)
- Sampling Requirements for Circular Cone Beam Tomography (2006) (18)
- Antisequential suffix sorting for BWT-based data compression (2005) (17)
- Norm variance of minimax interpolation (1992) (16)
- O(N3 log N) backprojection algorithm for the 3-D radon transform. (2002) (15)
- Learning sparsifying filter banks (2015) (15)
- Optimal multi-channel time-sequential acquisition in dynamic MRI with parallel coils (2006) (15)
- Decomposition of a mixture of Gaussian AR processes (1995) (15)
- Improving M-SBL for Joint Sparse Recovery Using a Subspace Penalty (2015) (15)
- Resolution of overlapping echoes of unknown shape (1989) (14)
- Adaptive Sparsifying Transforms for Iterative Tomographic Reconstruction (2014) (14)
- Learning flipping and rotation invariant sparsifying transforms (2016) (14)
- A Multilevel Domain Decomposition Algorithm for Fast Reprojection of Tomographic (2000) (14)
- Spatio-temporal modeling and adaptive acquisition for cardiac MRI (2004) (14)
- Multiscale Dictionary Learning for MRI (2010) (14)
- iMUSIC: Iterative MUSIC Algorithm for Joint Sparse Recovery with Any Rank (2010) (13)
- Multiparameter image visualization by projection pursuit (Proceedings Only) (1992) (13)
- Optimal scan design for time-varying tomographic imaging (1993) (13)
- Multichannel Sparse Blind Deconvolution on the Sphere (2018) (13)
- Learning overcomplete sparsifying transforms with block cosparsity (2014) (13)
- Efficient edge-preserving regularization for limited-angle tomography (1995) (12)
- Compressive sensing for biomedical imaging. (2011) (12)
- Doubly sparse transform learning with convergence guarantees (2014) (12)
- Learning doubly sparse transforms for image representation (2012) (12)
- Asymptotic Global Confidence Regions for 3-D Parametric Shape Estimation in Inverse Problems (2005) (12)
- Fast acquisition and sampling in MRI: Introduction to time-sequential sampling of spatio-temporal signals (2002) (11)
- HIERARCHICAL BAYESIAN APPROACH TO RECONSTRUCTION FROM PROJECTIONS OF A MULTIPLE OBJECT 3-D SCENE. (1984) (11)
- Optimal sampling in parallel magnetic resonance imaging (2003) (11)
- Worst-case Cramer-Rao bound for parametric estimation of superimposed signals (1990) (11)
- The Power of Complementary Regularizers: Image Recovery via Transform Learning and Low-Rank Modeling (2018) (10)
- Dictionary-based decomposition of linear mixtures of Gaussian processes (1996) (10)
- Subspace-Augmented MUSIC for Joint Sparse Recovery (2010) (10)
- O(N/sup 2/ log N) native fan-beam tomographic reconstruction (2002) (10)
- New paradigm for optimal multiparameter image visualization (1992) (10)
- Blind gain and phase calibration for low-dimensional or sparse signal sensing via power iteration (2017) (10)
- Image Compression OnThe-Fly by Universal Sampling in Fourier Imaging Systems 1 (2009) (9)
- Multiple-input multiple-output sampling: necessary density conditions (2004) (9)
- An Back-Projection Algorithm for SAR Image Formation (2000) (9)
- Fast parallel algorithms for universal lossless source coding (2003) (9)
- Blind compressed sensing using sparsifying transforms (2015) (9)
- The degradation of higher order spectral detection using narrowband processing (1997) (9)
- Shear-Based Fast Hierarchical Backprojection for Parallel-Beam Tomography (2007) (9)
- AFFINE-CORRECTED PARADISE: FREE-BREATHING PATIENT-ADAPTIVE CARDIAC MRI WITH SENSITIVITY ENCODING (2007) (9)
- Diffuse optical tomography using generalized music algorithm (2011) (9)
- PATIENT-ADAPTIVE SPATIO-TEMPORAL MRI: FROM PARADIGM TO PARADISE AND BEYOND (2007) (8)
- On the resolution capacity of wideband sensor arrays: further results (1991) (8)
- Time-resolved cardiac CT reconstruction using the ensemble Kalman Filter (2008) (8)
- On the use of asymptotics in detection and estimation (1996) (7)
- Automatic parameter tuning for image denoising with learned sparsifying transforms (2017) (7)
- A hierarchical algorithm for fast backprojection in helical cone-beam tomography (2004) (7)
- Bounds on the aliasing error in multidimensional Shannon sampling (1996) (7)
- Two-Part Codes with Low Worst-Case Redundancies for Distributed Compression of Bernoulli Sequences (2003) (7)
- GAN-based Projector for Faster Recovery in Compressed Sensing with Convergence Guarantees (2019) (6)
- Complexity regularized shape estimation from noisy Fourier data (2002) (6)
- Variations on projection pursuit for multiparameter image visualization (1993) (6)
- AUTO-CALIBRATED PARALLEL IMAGING USING A DISTORTION-OPTIMAL FILTER-BANK (2010) (6)
- Modeling and estimation for Doppler-shifted Gaussian random processes (1996) (6)
- Generic Feasibility of Perfect Reconstruction With Short FIR Filters in Multichannel Systems (2011) (6)
- A fast iterative tomographic reconstruction algorithm (1995) (6)
- 3-D reconstruction from projections based on dynamic object models (1984) (6)
- Online sparsifying transform learning for signal processing (2014) (6)
- Accelerated parallel magnetic resonance imaging by adaptive k-space sampling (2004) (6)
- Distortion-optimal self-calibrating parallel MRI by blind interpolation in subsampled filter banks (2011) (6)
- Design and theoretical analysis of a vector field segmentation algorithm (1993) (6)
- Nonlinear estimation of dynamic shift and shape parameters from set function measurements (1984) (6)
- Bounding Multivariate Trigonometric Polynomials (2019) (5)
- Unified theory of time-sequential sampling (1993) (5)
- An empirical study of minimax-optimal fractional delays for low-pass signals (2002) (5)
- A fast fan-beam backprojection algorithm based on efficient sampling (2013) (5)
- Ultra-fast hierarchical backprojection for Micro-CT reconstruction (2007) (5)
- Bounding Multivariate Trigonometric Polynomials with Applications to Filter Bank Design (2018) (5)
- Tomographic imaging of time-varying distributions (1990) (5)
- NATIVE FAN-BEAM TOMOGRAPHIC RECONSTRUCTION (5)
- Automatic classification of environmental noise sources by statistical methods (1998) (5)
- Tree Source Identification with the Burrows Wheeler Transform (2000) (5)
- Iterative circular conebeam CT reconstruction using fast hierarchical backprojection/reprojection operators (2010) (5)
- On the inferiority of higher-order detection in narrowband processing (1993) (5)
- Identifiability in Blind Deconvolution under Minimal Assumptions (2015) (5)
- A Set-Theoretic Study of the Relationships of Image Models and Priors for Restoration Problems (2020) (5)
- Maximum likelihood parameter estimation and subspace fitting of superimposed signals by dynamic programming - An approximate method (1992) (4)
- A fast and accurate decimation-in-angle hierarchical fan-beam backprojection algorithm (2006) (4)
- Fast and accurate decimation-in-angle hierarchical backprojection algorithms (2005) (4)
- A Physics-Motivated DNN for X-Ray CT Scatter Correction (2020) (4)
- Adaptive Dynamic Imaging in Cardiac MR Fluoroscopy: First in-Vivo Results (2006) (3)
- Region-of-interest MRI: k-space sampling conditions (2006) (3)
- ON THE CONVERGENCE OF METROPOLIS-TYPE RELAXATION AND ANNEALING WITH CONSTRAINTS (2001) (3)
- O(N/sup 3/ log N) backprojection algorithm for the 3-D Radon transform (2002) (3)
- Combined algorithmic and hardware acceleration for ultra-fast backprojection (2007) (3)
- Tomography with unknown view angles (1997) (3)
- A polynomial approach to optimum beamforming for correlated or coherent signal and interference (1987) (3)
- Upper bounds on aliasing error energy for multidimensional sampling of nonbandlimited signals (2008) (3)
- Performance analysis of the approximate dynamic programming algorithm for parameter estimation of superimposed signals (2000) (3)
- Vector field visualization by projection pursuit: analysis of projection indices (1994) (2)
- Fourier descriptors for parametric shape estimation in inverse scattering problems (2000) (2)
- Composition-aware spectroscopic tomography (2019) (2)
- Image restoration by complexity regularization via dynamic programming (1992) (2)
- Highly undersampled MRI using adaptive sparse representations (2011) (2)
- Combined algorithmic and GPU acceleration for ultra-fast circular conebeam backprojection (2010) (2)
- Data-driven adaptation of a union of sparsifying transforms for blind compressed sensing MRI reconstruction (2015) (2)
- Optimal sample complexity for stable matrix recovery (2016) (2)
- Fast hierarchical backprojection for helical cone-beam tomography (2003) (2)
- Uniqueness in bilinear inverse problems with applications to subspace and joint sparsity models (2015) (2)
- Performance analysis of parameter estimation of superimposed signals by dynamic programming (1991) (2)
- ITY OF TOMOGRAPHY WITH UNKNOWN VIEW ANGLES (1998) (2)
- Efficient edge-preserving and multiresolution algorithms for limited-data tomography (1995) (2)
- Model-based estimation techniques for 3-D reconstruction from projections (1988) (2)
- A new approach to the time-sequential sampling problem (1992) (2)
- Theoretical analysis of a multiscale algorithm for the direct segmentation of tomographic images (1994) (2)
- REAL-TIME SHALLOW-BREATHING CARDIAC MRI USING PATIENT-ADAPTIVE PARALLEL IMAGING (2009) (2)
- Optimal decomposition and classification of linear mixtures of ARMA processes (1998) (2)
- A Generative Cramér-Rao Bound on Frequency Estimation with Learned Measurement Distribution (2022) (2)
- Learning to Bound: A Generative Cramér-Rao Bound (2022) (1)
- Performance of Jointly Sparse Support Recovery in Compressed Sensing (2011) (1)
- Identification of Pulse Streams Of Unknown Shape From Time Encoding Machine Samples (2022) (1)
- Dynamic Tomography Reconstruction by Projection-Domain Separable Modeling (2022) (1)
- Channel order estimation for multichannel blind image recovery (1998) (1)
- Bayes-optimal visualization of vector fields (1993) (1)
- REAL-TIME NON-GATED CARDIAC MRI USING PARADISE : DOUBLY ADAPTIVE ACCELERATED IMAGING (2008) (1)
- Optimum Visualization Of Vector Fields And Multi-sensor Fusion (1994) (1)
- On the Transmission of a Class of Non-Gaussian Signals over a Power Constrained AWGN Channel (1998) (1)
- Corrections to "ADMiRA: Atomic Decomposition for Minimum Rank Approximation" (2013) (1)
- Accurate Fourier Algorithm terative Parallel- earn Tomograp (1996) (1)
- On the necessary density for spectrum-blind nonuniform sampling (2000) (1)
- Generative Models for Inverse Imaging Problems: From mathematical foundations to physics-driven applications (2023) (1)
- A Fast Shear-Like Divergent-Beam Backprojection Algorithm (2006) (1)
- Learning Overcomplete Signal Sparsifying Transforms (2013) (1)
- Sampling of shifted fan beam projections for region of interest reconstruction (2005) (1)
- Inverse scattering with chemical composition constraints for spectroscopic tomography (2016) (1)
- Circumventing the resolution-time tradeoff in Ultrasound Localization Microscopy by Velocity Filtering (2021) (1)
- Subsampled Multichannel Blind Deconvolution by Sparse Power Factorization (2013) (1)
- Subspace penalized sparse learning for joint sparse recovery (2013) (1)
- Optimum sparse approximations: A new class of algorithms (1998) (1)
- Vector field visualization: analysis of feature extraction methods (1994) (1)
- X-RAY CT SCATTER CORRECTION BY A PHYSICS-MOTIVATED DNN WITH OPPOSITE VIEW PROCESSING (2020) (1)
- Design and analysis of an information theoretic algorithm for vector-field segmentation (1993) (1)
- Scan-rate reduction for tomographic imaging of time-varying distributions (1993) (1)
- HIGH SPATIO-TEMPORAL FIDELITY NONGATED CARDIAC MRI WITH A 3 SECOND PATIENT-ADAPTIVE SCAN (2009) (1)
- PROSPECTIVE SNR OPTIMIZATION IN K-T-BASED SENSITIVITY-ENCODED DYNAMIC IMAGING USING A FAST GEOMETRIC ALGORITHM (2009) (1)
- Closed-Form Optimal Updates in Transform Learning (2013) (1)
- A parametric technique for superresolution image reconstruction (1990) (1)
- A generalization of Bergstrom's inequality and some applications (1992) (1)
- Theoretical evaluation of some related methods for reducing acoustic speckle (1988) (0)
- RECONSTRUCTION OF FUNCTIONAL ACTIVATIONS IN NEAR INFRARED SPECTROSCOPIC IMAGING. (2006) (0)
- On an Approximate Solution of a Partial Differential- Difference Equation for the Joint Characteristic Function of the Complex Scalar LMS Adaptive Weight (1987) (0)
- Feature Extraction Techniques for Ex rY Visualization of Vector-Valued I er (1996) (0)
- A STATISTICAL PATTERN RECOGNITION FRAMEWORK FOR NOISE RECOGNITION IN AN INTELLIGENT NOISE MONITORING SYSTEM1 (2007) (0)
- Four Lemmas on Bivariate Polynomials and Their Computer Verification by Mathematica (1999) (0)
- Dimensionality Reduction for Nonlinear Regression with Two Predictor Vectors (2016) (0)
- A reconstruction technique for passive acoustic imaging through a turbulent atmosphere (2001) (0)
- MIMO Sampling : Necessary Density Conditions (0)
- Technical Briefs (1999) (0)
- Necessary density conditions for MIMO sampling of multiband inputs (2002) (0)
- Range-space based identification of parametric linear systems (2016) (0)
- Some recent results in tomography (1995) (0)
- Multichannel Sparse Blind Deconvolution on the Sphere (2019) (0)
- Joint Dimensionality Reduction for Separable Embedding Estimation (2021) (0)
- A method for fast backprojection of images by multilevel domain decomposition (2000) (0)
- Iterative Helical Cone-Beam CT Reconstruction using Fast Hierarchical Backprojection / Reprojection (2012) (0)
- Cramér-Rao Bounds for Parametric Estimation of Target Boundaries in Nonlinear Inverse Scattering Problems (2007) (0)
- Analysis of feature extraction criteria for vector field visualization (1994) (0)
- Model based tracking of signal shift and shape (1988) (0)
- Hardware acceleration for sparse fourier image reconstruction (2007) (0)
- RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging (2023) (0)
- Framework for Identi ability Analysis in Bilinear Inverse Problems with Applications to Subspace and Sparsity Models ∗ (2015) (0)
- Global confidence regions in parametric shape estimation (2000) (0)
- Modeling and Estimation for Doppler-shiftedRandom (2007) (0)
- Model selection with covariance matching based non-negative lasso (2020) (0)
- Short Acquisition Time Super-Resolution Ultrasound Microvessel Imaging via Microbubble Separation (2020) (0)
- Optimizing Optical Compressed Sensing for Multispectral DNN-Based Image Segmentation (2020) (0)
- Sampling Theory and Adaptive Acquisition for Cardiac Magnetic Resonance Imaging Yoram Bresler (2007) (0)
- Hydrodynamic and Radiographic Toolbox (HART) (2020) (0)
- Joint Dimensionality Reduction for Two Feature Vectors (2016) (0)
- Oblique pursuits for compressed sensing with random anisotropic measurements (2013) (0)
- Method and apparatus for fast fan beam tomography (2003) (0)
- Noise performance of fast hierarchical 3D backprojection for helical cone-beam tomography (2005) (0)
- Learned Generative Misspecified Lower Bound (2023) (0)
- Optimal Sampling and Reconstruction in Multiple-Input-Multiple-Output (MIMO) Systems 1 (2005) (0)
- A new level-set algorithm for the diffuse optical imaging of the brain (2006) (0)
- Model based estimation techniques for three-dimensional reconstruction from projections (1987) (0)
- Unified time-sequential sampling theory for spatio-temporal signals (1994) (0)
- Bounds on the Aliasing Error in (1996) (0)
- Scatter Correction in X-Ray CT by Physics-Inspired Deep Learning (2021) (0)
- Factorized Projection-Domain Spatio-Temporal Regularization for Dynamic Tomography (2023) (0)
- Image Restoration By Dynamic Programming (1991) (0)
- Fast acquisition and reconstruction in imaging enabled by sampling theory (2008) (0)
- Reconstruction of functional activations in diffuse optical imaging (2006) (0)
- Laurent Polynomial Inverse Matrices and Multidimensional Perfect Reconstruction Systems by Ka Lung Law List of Tables (2008) (0)
- A Theoretical Performance Analysis of Bayesian and Information Theoretic Image Segmentation Criteria (1993) (0)
- Modeling and estimation for doppler-shifted random processes (1998) (0)
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