Fessier, J.A.[Jeffrey A.]
* 2014: Model-based estimation of T2 maps with dual-echo steady-state MR imaging
* 2016: Low dose CT image reconstruction with learned sparsifying transform
Includes: Fessier, J.A.[Jeffrey A.] Fessier, J.A.
Fessl, A.[Angela]
* 2019: Training Researchers with the MOVING Platform
Fessler, E.[Eli]
* 2017: GOAALLL!: Using sentiment in the world cup to explore theories of emotion
Fessler, J.A.
* 1985: Parallel Image Thinning and Vectorization on PASM
* 1988: Model-based estimation techniques for 3-D reconstruction from projections
* 1989: Bayesian Approach to Reconstruction from Incomplete Projections of a Multiple Object 3D Domain, A
* 1994: Bias-variance trade-offs analysis using uniform CR bound for images
* 1994: mixture-site model for edge-preserving image restoration, A
* 1994: Positron emission tomography: physical models and reconstruction issues
* 1994: recursive algorithm for computing Cramer-Rao-type bounds on estimator covariance, A
* 1995: Combined diagonal/Fourier preconditioning methods for image reconstruction in emission tomography
* 1995: Globally convergent algorithms for maximum a posteriori transmission tomography
* 1995: Hybrid Poisson/Polynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans
* 1995: Penalized maximum-likelihood image reconstruction using space-alternating generalized EM algorithms
* 1996: Hybrid Poisson/Polynomial Objective Functions for Tomographic Image Reconstruction from Transmission Scans
* 1996: Improved penalized likelihood reconstruction of anatomically correlated emission data
* 1996: Mean and variance of implicitly defined biased estimators (such as penalized maximum likelihood): applications to tomography
* 1996: Spatial-Resolution Properties of Penalized Likelihood Image Reconstruction: Space Invariant Tomographs
* 1997: Grouped-coordinate ascent algorithms for penalized-likelihood transmission image reconstruction
* 1997: Positron emission tomography
* 1997: Preconditioning Methods for Shift-Variant Image Reconstruction
* 1997: Statistical Image-Reconstruction in PET with Compensation for Missing Data
* 1998: Accelerated monotonic algorithms for transmission tomography
* 1998: Edge-preserving tomographic reconstruction with nonlocal regularization
* 1998: On the Convergence of Mean Field Procedures for MRFs
* 1998: Spatially-variant roughness penalty design for uniform resolution in penalized-likelihood image reconstruction
* 1999: Conjugate-Gradient Preconditioning Methods for Shift-Variant PET Image Reconstruction
* 1999: Monotonic algorithms for transmission tomography
* 1999: Penalized-likelihood estimators and noise analysis for randoms-precorrected PET transmission scans
* 2000: Exact Distribution of Edge-Preserving MAP Estimators for Linear Signal Models with Gaussian Measurement Noise
* 2000: Maximum-likelihood transmission image reconstruction for overlapping transmission beams
* 2000: Partitioned Separable Paraboloidal Surrogate Coordinate Ascent Algorithm for Image Restoration
* 2000: Regularization for Uniform Spatial Resolution Properties in Penalized-Likelihood Image Reconstruction
* 2001: Min-max Approach to the Multidimensional Nonuniform FFT: Application to Tomographic Image Reconstruction, A
* 2002: Edge-preserving tomographic reconstruction with nonlocal regularization
* 2002: Image Recovery Using Partitioned-Separable Paraboloidal Surrogate Coordinate Ascent Algorithms
* 2002: Statistical image reconstruction for polyenergetic X-ray computed tomography
* 2003: Fast, iterative image reconstruction for MRI in the presence of field inhomogeneities
* 2003: Globally convergent image reconstruction for emission tomography using relaxed ordered subsets algorithms
* 2003: Penalized-Likelihood Image Reconstruction Method for Emission Tomography, Compared to Postsmoothed Maximum-Likelihood with Matched Spatial Resolution, A
* 2004: Compensation for Nonuniform Resolution Using Penalized-Likelihood Reconstruction in Space-Variant Imaging Systems
* 2004: Efficient calculation of resolution and covariance for penalized-likelihood reconstruction in fully 3-D SPECT
* 2004: Emission image reconstruction for randoms-precorrected PET allowing negative sinogram values
* 2004: Intensity-Based Image Registration Using Robust Correlation Coefficients
* 2004: Iterative tomographic image reconstruction using Fourier-based forward and back-projectors
* 2004: Simplified digital holographic reconstruction using statistical methods
* 2005: Conjugate Phase MRI Reconstruction With Spatially Variant Sample Density Correction
* 2006: Analysis of Observer Performance in Known-Location Tasks for Tomographic Image Reconstruction
* 2006: Convergent incremental optimization transfer algorithms: Application to tomography
* 2006: Fourier-Based Forward and Back-Projectors in Iterative Fan-Beam Tomographic Image Reconstruction
* 2006: Incorporation of System Resolution Compensation (RC) in the Ordered-Subset Transmission (OSTR) Algorithm for Transmission Imaging in SPECT
* 2007: Analysis of observer performance in unknown-location tasks for tomographic image reconstruction
* 2007: Estimating 3-D Respiratory Motion From Orbiting Views by Tomographic Image Registration
* 2007: Expanded Theoretical Treatment of Iteration-Dependent Majorize-Minimize Algorithms, An
* 2007: Fast Predictions of Variance Images for Fan-Beam Transmission Tomography With Quadratic Regularization
* 2008: Fast Joint Reconstruction of Dynamic R_2* and Field Maps in Functional MRI
* 2008: Regularized Field Map Estimation in MRI
* 2009: Accelerated Nonrigid Intensity-Based Image Registration Using Importance Sampling
* 2009: Fast Large-Tip-Angle Multidimensional and Parallel RF Pulse Design in MRI
* 2009: Joint reconstruction of Stokes images from polarimetric measurements
* 2009: Quadratic Regularization Design for 2-D CT
* 2009: Statistical Sinogram Restoration in Dual-Energy CT for PET Attenuation Correction
* 2010: 3D Forward and Back-Projection for X-Ray CT Using Separable Footprints
* 2010: Joint estimation of Stokes images and aberrations from phase-diverse polarimetric measurements
* 2010: Model-Based Image Reconstruction for MRI
* 2011: Parallel MR Image Reconstruction Using Augmented Lagrangian Methods
* 2011: Regularized Image Reconstruction Algorithms for Dual-Isotope Myocardial Perfusion SPECT (MPS) Imaging Using a Cross-Tracer Prior
* 2012: Cross-validation and predicted risk estimation for nonlinear iterative reweighted least-squares MRI reconstruction
* 2012: Image restoration using non-circulant shift-invariant system models
* 2012: Regularization Parameter Selection for Nonlinear Iterative Image Restoration and MRI Reconstruction Using GCV and SURE-Based Methods
* 2012: Separate Magnitude and Phase Regularization via Compressed Sensing
* 2012: Spatial Resolution Properties of Motion-Compensated Tomographic Image Reconstruction Methods
* 2012: Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction, A
* 2013: Accelerated Edge-Preserving Image Restoration Without Boundary Artifacts
* 2013: Accelerated Regularized Estimation of MR Coil Sensitivities Using Augmented Lagrangian Methods
* 2013: Accelerating Ordered Subsets Image Reconstruction for X-ray CT Using Spatially Nonuniform Optimization Transfer
* 2013: Correction for Collimator-Detector Response in SPECT Using Point Spread Function Template
* 2013: Noise Properties of Motion-Compensated Tomographic Image Reconstruction Methods
* 2013: Non-Cartesian MRI Reconstruction With Automatic Regularization Via Monte-Carlo SURE
* 2014: Alternating Direction Method of Multiplier for Tomography With Nonlocal Regularizers
* 2014: Augmented Lagrangian with Variable Splitting for Faster Non-Cartesian L_1-SPIRiT MR Image Reconstruction
* 2014: Fast MR image reconstruction with orthogonal wavelet regularization via shift-variant shrinkage
* 2014: Multi-Material Decomposition Using Statistical Image Reconstruction for Spectral CT
* 2014: Phase retrieval of sparse signals using optimization transfer and ADMM
* 2014: Regularized estimation of Bloch-Siegert B1-maps in MRI
* 2014: Regularized Estimation of Magnitude and Phase of Multi-Coil B_1 Field Via Bloch-Siegert B_1 Mapping and Coil Combination Optimizations
* 2015: Combining Ordered Subsets and Momentum for Accelerated X-Ray CT Image Reconstruction
* 2015: Edge-Preserving Image Denoising via Group Coordinate Descent on the GPU
* 2015: Fast Parallel MR Image Reconstruction via B1-Based, Adaptive Restart, Iterative Soft Thresholding Algorithms (BARISTA)
* 2015: Fast X-Ray CT Image Reconstruction Using a Linearized Augmented Lagrangian Method With Ordered Subsets
* 2015: Model-based image reconstruction of chemiluminescence using a plenoptic 2.0 camera
* 2015: optimized first-order method for image restoration, An
* 2015: Regularization Designs for Uniform Spatial Resolution and Noise Properties in Statistical Image Reconstruction for 3-D X-ray CT
* 2016: Joint Design of Excitation k-Space Trajectory and RF Pulse for Small-Tip 3D Tailored Excitation in MRI
* 2016: LASSI: A low-rank and adaptive sparse signal model for highly accelerated dynamic imaging
* 2016: Relaxed Linearized Algorithms for Faster X-Ray CT Image Reconstruction
* 2017: Fast Variance Prediction for Iteratively Reconstructed CT Images With Locally Quadratic Regularization
* 2017: Low-Rank and Adaptive Sparse Signal (LASSI) Models for Highly Accelerated Dynamic Imaging
* 2017: Optimizing MR Scan Design for Model-Based T_1 , T_2 Estimation From Steady-State Sequences
* 2018: Convolutional Dictionary Learning: Acceleration and Convergence
* 2018: Deep BCD-Net Using Identical Encoding-Decoding CNN Structures for Iterative Image Recovery
* 2018: Detector Blur and Correlated Noise Modeling for Digital Breast Tomosynthesis Reconstruction
* 2018: Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
* 2018: Fast Spatial Resolution Analysis of Quadratic Penalized Least-Squares Image Reconstruction With Separate Real and Imaginary Roughness Penalty: Application to fMRI
* 2018: Image Reconstruction is a New Frontier of Machine Learning
* 2018: Low-Rank Plus Sparse Tensor Models for Light-field Reconstruction from Focal Stack Data
* 2018: PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction
* 2019: Blind Unitary Transform Learning for Inverse Problems in Light-Field Imaging
* 2019: Convolutional Analysis Operator Learning: Dependence on Training Data
* 2020: Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT
* 2020: Convolutional Analysis Operator Learning: Acceleration and Convergence
* 2020: DECT-MULTRA: Dual-Energy CT Image Decomposition With Learned Mixed Material Models and Efficient Clustering
* 2020: High-Resolution Oscillating Steady-State fMRI Using Patch-Tensor Low-Rank Reconstruction
* 2020: Image Reconstruction: From Sparsity to Data-Adaptive Methods and Machine Learning
* 2020: Improved Low-Count Quantitative PET Reconstruction With an Iterative Neural Network
* 2020: Optimization Methods for Magnetic Resonance Image Reconstruction: Key Models and Optimization Algorithms
* 2020: Simplified Statistical Image Reconstruction for X-ray CT With Beam-Hardening Artifact Compensation
* 2020: SPULTRA: Low-Dose CT Image Reconstruction With Joint Statistical and Learned Image Models
* 2021: Blind Primed Supervised (BLIPS) Learning for MR Image Reconstruction
* 2021: Deep Convolutional Neural Network With Adversarial Training for Denoising Digital Breast Tomosynthesis Images
* 2021: Joint Design of RF and Gradient Waveforms via Auto-differentiation for 3D Tailored Excitation in MRI
* 2021: Motivating Bilevel Approaches To Filter Learning: A Case Study
* 2021: Poisson Phase Retrieval With Wirtinger Flow
* 2022: B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI
* 2023: Momentum-Net: Fast and Convergent Iterative Neural Network for Inverse Problems
* 2023: Physics-Guided Deep Scatter Estimation by Weak Supervision for Quantitative SPECT
Includes: Fessler, J.A. Fessler, J.A.[Jeffrey A.]
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