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JUSTIN P. HALDAR
Author Info
Open Visualization
Name
Affiliation
Papers
JUSTIN P. HALDAR
Univ Illinois, Beckman Inst, Dept Elect & Comp Engn, Urbana, IL 61801 USA
51
Collaborators
Citations
PageRank
70
350
35.40
Referers
Referees
References
925
752
381
Search Limit
100
925
Publications (51 rows)
Collaborators (70 rows)
Referers (100 rows)
Referees (100 rows)
Title
Citations
PageRank
Year
Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods
0
0.34
2021
3d Phase Retrieval At Nano-Scale Via Accelerated Wirtinger Flow
0
0.34
2020
Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging
3
0.41
2020
Learning How To Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach
0
0.34
2019
Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data.
1
0.36
2019
Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics.
3
0.41
2019
Low-Rank Modeling of Local Sinogram Neighborhoods with Tomographic Applications
0
0.34
2019
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI.
6
0.44
2019
LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space.
0
0.34
2019
Probing In Vivo Microstructure With T-1-T-2 Relaxation Correlation Spectroscopic Imaging
0
0.34
2018
Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods.
1
0.35
2018
Towards Optimal Linear Estimation Of Orientation Distribution Functions With Arbitrarily Sampled Diffusion Mri Data
0
0.34
2018
The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality
1
0.35
2018
Robust Autocalibrated Loraks For Epi Ghost Correction
0
0.34
2018
A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment design.
0
0.34
2017
Individual parcellation of resting fMRI with a group functional connectivity prior.
5
0.43
2017
Greedy algorithms for nonnegativity-constrained simultaneous sparse recovery.
2
0.36
2016
SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling
1
0.35
2015
Ms-Fract: Optimized Linear Transform Methods For Odf Estimation In Multi-Shell Diffusion Mri
1
0.35
2015
Autocalibrated loraks for fast constrained MRI reconstruction
3
0.37
2015
A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images.
6
0.47
2015
Nonnegative Matrix Factorization For Tissue Mixture Modeling With Noisy Mr Magnitude Image Sequences
0
0.34
2015
Correcting inhomogeneity-induced distortion in FMRI using non-rigid registration
1
0.36
2015
Low-Rank Modeling of Local $k$-Space Neighborhoods (LORAKS) for Constrained MRI.
14
0.79
2014
Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET.
2
0.38
2014
Causality In Variance In Electrophysiological Data Using The Arch Model
0
0.34
2013
Canonical granger causality between regions of interest.
3
0.40
2013
A quadratic majorize-minimize framework for statistical estimation with noisy rician- and noncentral chi-distributed MR images
4
0.55
2013
More IMPATIENT: A Gridding-Accelerated Toeplitz-based Strategy for Non-Cartesian High-Resolution 3D MRI on GPUs.
4
0.42
2013
Linear transforms for Fourier data on the sphere: Application to high angular resolution diffusion MRI of the brain.
10
0.67
2013
New linear transforms for data on a Fourier 2-sphere with application to diffusion MRI.
1
0.36
2012
Image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints.
8
0.53
2012
Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints
2
0.44
2012
Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET
2
0.40
2012
Impatient Mri: Illinois Massively Parallel Acceleration Toolkit For Image Reconstruction With Enhanced Throughput In Mri
7
0.71
2011
Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints
3
0.52
2011
On MR experiment design with quadratic regularization.
0
0.34
2011
Compressed-Sensing MRI With Random Encoding.
54
2.46
2011
Advanced Mri Reconstruction Toolbox With Accelerating On Gpu
3
0.55
2011
Motion compensation for reference-constrained image reconstruction from limited data
2
0.37
2011
Deconvolved Spatial Light Interference Microscopy for Live Cell Imaging.
0
0.34
2011
Low-rank approximations for dynamic imaging.
16
1.13
2011
Low rank matrix recovery for real-time cardiac MRI
38
2.61
2010
Accelerating iterative field-compensated MR image reconstruction on GPUs
6
0.73
2010
Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization.
56
3.17
2009
Accelerating MR image reconstruction on GPUs
1
0.41
2009
Super-resolution reconstruction of MR image sequences with contrast modeling
7
0.61
2009
Accelerating Advanced MRI Reconstructions on GPUs.
66
6.29
2008
Joint Reconstruction Of Noisy High-Resolution Mr Image Sequences
3
0.50
2008
Reduced-encoding MRI using higher-order generalized series
2
0.44
2006
1
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