*Fessier, J.A.*
**Co Author Listing** * Low dose CT image reconstruction with learned sparsifying transform

* Model-based estimation of T2 maps with dual-echo steady-state MR imaging

Includes: Fessier, J.A. Fessier, J.A.[Jeffrey A.]

*Fessl, A.[Angela]*
**Co Author Listing** * Training Researchers with the MOVING Platform

*Fessler, E.[Eli]*
**Co Author Listing** * GOAALLL!: Using sentiment in the world cup to explore theories of emotion

*Fessler, J.A.*
**Co Author Listing** * 3D Forward and Back-Projection for X-Ray CT Using Separable Footprints

* Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts

* Accelerated monotonic algorithms for transmission tomography

* Accelerated Nonrigid Intensity-Based Image Registration Using Importance Sampling

* Accelerated Regularized Estimation of MR Coil Sensitivities Using Augmented Lagrangian Methods

* Accelerating Ordered Subsets Image Reconstruction for X-ray CT Using Spatially Nonuniform Optimization Transfer

* Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT

* Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers

* Analysis of Observer Performance in Known-Location Tasks for Tomographic Image Reconstruction

* Analysis of observer performance in unknown-location tasks for tomographic image reconstruction

* Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian L_1-SPIRiT MR Image Reconstruction

* B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

* Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain, A

* Bias-variance trade-offs analysis using uniform CR bound for images

* Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction

* Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging

* Combined diagonal/Fourier preconditioning methods for image reconstruction in emission tomography

* Combining Ordered Subsets and Momentum for Accelerated X-Ray CT Image Reconstruction

* Compensation for Nonuniform Resolution Using Penalized-Likelihood Reconstruction in Space-Variant Imaging Systems

* Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction

* Conjugate-Gradient Preconditioning Methods for Shift-Variant PET Image Reconstruction

* Convergent incremental optimization transfer algorithms: Application to tomography

* Convolutional Analysis Operator Learning: Acceleration and Convergence

* Convolutional Analysis Operator Learning: Dependence on Training Data

* Convolutional Dictionary Learning: Acceleration and Convergence

* Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template

* Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction

* DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering

* Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery

* Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images

* Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction

* Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels

* Edge-Preserving Image Denoising via Group Coordinate Descent on the GPU

* Edge-preserving tomographic reconstruction with nonlocal regularization

* Efficient calculation of resolution and covariance for penalized-likelihood reconstruction in fully 3-D SPECT

* Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values

* Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration

* Exact Distribution of Edge-Preserving MAP Estimators for Linear Signal Models with Gaussian Measurement Noise

* Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms, An

* Fast Joint Reconstruction of Dynamic R_2* and Field Maps in Functional MRI

* Fast Large-Tip-Angle Multidimensional and Parallel RF Pulse Design in MRI

* Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage

* Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA)

* Fast Predictions of Variance Images for Fan-Beam Transmission Tomography With Quadratic Regularization

* Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI

* Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization

* Fast X-Ray CT Image Reconstruction Using a Linearized Augmented Lagrangian Method With Ordered Subsets

* Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities

* Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction

* Globally convergent algorithms for maximum a posteriori transmission tomography

* Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms

* Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction

* High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction

* Hybrid Poisson/Polynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans

* Image Reconstruction is a New Frontier of Machine Learning

* Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning

* Image Recovery Using Partitioned-Separable Paraboloidal Surrogate Coordinate Ascent Algorithms

* Image restoration using non-circulant shift-invariant system models

* Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network

* Improved penalized likelihood reconstruction of anatomically correlated emission data

* Incorporation of System Resolution Compensation (RC) in the Ordered-Subset Transmission (OSTR) Algorithm for Transmission Imaging in SPECT

* Intensity-Based Image Registration Using Robust Correlation Coefficients

* Iterative tomographic image reconstruction using Fourier-based forward and back-projectors

* Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI

* Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI

* Joint estimation of Stokes images and aberrations from phase-diverse polarimetric measurements

* Joint reconstruction of Stokes images from polarimetric measurements

* LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging

* Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging

* Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data

* Maximum-likelihood transmission image reconstruction for overlapping transmission beams

* Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography

* Min-max Approach to the Multidimensional Nonuniform FFT: Application to Tomographic Image Reconstruction, A

* mixture-site model for edge-preserving image restoration, A

* Model-based estimation techniques for 3-D reconstruction from projections

* Model-Based Image Reconstruction for MRI

* Model-based image reconstruction of chemiluminescence using a plenoptic 2.0 camera

* Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems

* Monotonic algorithms for transmission tomography

* Motivating Bilevel Approaches To Filter Learning: A Case Study

* Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT

* Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods

* Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE

* On the Convergence of Mean Field Procedures for MRFs

* Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms

* optimized first-order method for image restoration, An

* Optimizing MR Scan Design for Model-Based T_1 , T_2 Estimation From Steady-State Sequences

* Parallel Image Thinning and Vectorization on PASM

* Parallel MR Image Reconstruction Using Augmented Lagrangian Methods

* Partitioned Separable Paraboloidal Surrogate Coordinate Ascent Algorithm for Image Restoration

* Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms

* Penalized-likelihood estimators and noise analysis for randoms-precorrected PET transmission scans

* Penalized-Likelihood Image Reconstruction Method for Emission Tomography, Compared to Postsmoothed Maximum-Likelihood with Matched Spatial Resolution, A

* Phase retrieval of sparse signals using optimization transfer and ADMM

* Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT

* Poisson Phase Retrieval With Wirtinger Flow

* Positron emission tomography

* Positron emission tomography: physical models and reconstruction issues

* Preconditioning Methods for Shift-Variant Image Reconstruction

* PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction

* Quadratic Regularization Design for 2-D CT

* recursive algorithm for computing Cramer-Rao-type bounds on estimator covariance, A

* Regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT

* Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction

* Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods

* Regularized estimation of Bloch-Siegert B1-maps in MRI

* Regularized Estimation of Magnitude and Phase of Multi-Coil B_1 Field Via Bloch-Siegert B_1 Mapping and Coil Combination Optimizations

* Regularized Field Map Estimation in MRI

* Regularized Image Reconstruction Algorithms for Dual-Isotope Myocardial Perfusion SPECT (MPS) Imaging Using a Cross-Tracer Prior

* Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction

* Separate Magnitude and Phase Regularization via Compressed Sensing

* Simplified digital holographic reconstruction using statistical methods

* Simplified Statistical Image Reconstruction for X-ray CT With Beam-Hardening Artifact Compensation

* Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods

* Spatial-Resolution Properties of Penalized Likelihood Image Reconstruction: Space Invariant Tomographs

* Spatially-variant roughness penalty design for uniform resolution in penalized-likelihood image reconstruction

* Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction, A

* SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models

* Statistical image reconstruction for polyenergetic X-ray computed tomography

* Statistical Image-Reconstruction in PET with Compensation for Missing Data

* Statistical Sinogram Restoration in Dual-Energy CT for PET Attenuation Correction

Includes: Fessler, J.A. Fessler, J.A.[Jeffrey A.]

121 for Fessler, J.A.

Last update:18-Jul-24 21:13:19

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