Yoram Bresler

Q: What Schools Are Affiliated With Yoram Bresler

Yoram Bresler is affiliated with the following schools: Stanford University, University of Illinois Urbana-Champaign

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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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