Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior. - Justin P. Haldar; Mathews Jacob; Andreas Ebel; Xiaoping Zhu; Norbert Schuff; Diego Hernando; Bradley P. Sutton; Zhi-Pei Liang (ISBI, 2006)

Reduced-encoding MRI using higher-order generalized series. - Diego Hernando; Justin P. Haldar; Zhi-Pei Liang (ISBI, 2006)

On model-based MR spectroscopic imaging. - Mathews Jacob; Bradley P. Sutton; Justin P. Haldar; Zhi-Pei Liang (ISBI, 2006)

Shaping Spatial Response Functions for Optimal Estimation of Compartmental Signals from Limited Fourier Data. - Justin P. Haldar; Diego Hernando; Zhi-Pei Liang (ISBI, 2007)

Removal of Lipid Signal in MRSI Using Spatial-Spectral Constraints. - Diego Hernando; Justin P. Haldar; Bradley P. Sutton; Zhi-Pei Liang (ISBI, 2007)

Joint reconstruction of noisy high-resolution MR image sequences. - Justin P. Haldar; Zhi-Pei Liang (ISBI, 2008)

Accelerating advanced MRI reconstructions on GPUs. - Sam S. Stone; Justin P. Haldar; Stephanie C. Tsao; Wen-mei W. Hwu; Bradley P. Sutton; Zhi-Pei Liang (J. Parallel Distributed Comput., 2008)

Super-Resolution Reconstruction of MR Image Sequences with Contrast Modeling. - Justin P. Haldar; Diego Hernando; Zhi-Pei Liang (ISBI, 2009)

Accelerating MR Image Reconstruction on GPUS. - Wen-mei W. Hwu; Deepthi Nandakumar; Justin P. Haldar; Ian C. Atkinson; Bradley P. Sutton; Zhi-Pei Liang; Keith R. Thulborn (ISBI, 2009)

Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization. - Justin P. Haldar; Diego Hernando (IEEE Signal Process. Lett., 2009)

Spatiotemporal imaging with partially separable functions: a matrix recovery approach. - Justin P. Haldar; Zhi-Pei Liang (ISBI, 2010)

Denoising of MR spectroscopic imaging data with spatial-spectral regularization. - Hien M. Nguyen; Justin P. Haldar; Minh N. Do; Zhi-Pei Liang (ISBI, 2010)

Low rank matrix recovery for real-time cardiac MRI. - Bo Zhao 002; Justin P. Haldar; Cornelius Brinegar; Zhi-Pei Liang (ISBI, 2010)

Accelerating iterative field-compensated MR image reconstruction on GPUS. - Yue Zhuo 003; Xiaolong Wu; Justin P. Haldar; Wen-mei W. Hwu; Zhi-Pei Liang; Bradley P. Sutton (ISBI, 2010)

Low-rank approximations for dynamic imaging. - Justin P. Haldar; Zhi-Pei Liang (ISBI, 2011)

On MR experiment design with quadratic regularization. - Justin P. Haldar; Zhi-Pei Liang (ISBI, 2011)

Motion compensation for reference-constrained image reconstruction from limited data. - Fan Lam; Justin P. Haldar; Zhi-Pei Liang (ISBI, 2011)

Impatient MRI: Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI. - Xiaolong Wu; Jiading Gai; Fan Lam; Maojing Fu 001; Justin P. Haldar; Yue Zhuo 003; Zhi-Pei Liang; Wen-mei W. Hwu; Bradley P. Sutton (ISBI, 2011)

Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints. - Bo Zhao 002; Justin P. Haldar; Anthony G. Christodoulou; Zhi-Pei Liang (ISBI, 2011)

Advanced MRI reconstruction toolbox with accelerating on GPU. - Xiaolong Wu; Yue Zhuo 003; Jiading Gai; Fan Lam; Maojing Fu 001; Justin P. Haldar; Wen-mei W. Hwu; Zhi-Pei Liang; Bradley P. Sutton (Parallel Processing for Imaging Applications, 2011)

Deconvolved Spatial Light Interference Microscopy for Live Cell Imaging. - Justin P. Haldar; Zhuo Wang; Gabriel Popescu; Zhi-Pei Liang (IEEE Trans. Biomed. Eng., 2011)

Compressed-Sensing MRI With Random Encoding. - Justin P. Haldar; Diego Hernando; Zhi-Pei Liang (IEEE Trans. Medical Imaging, 2011)

Constrained imaging: denoising and sparse sampling - Justin P. Haldar (2011)

Correcting susceptibility-induced distortion in diffusion-weighted MRI using constrained nonrigid registration. - Chitresh Bhushan; Justin P. Haldar; Anand A. Joshi; Richard M. Leahy (APSIPA, 2012)

Canonical Granger causality applied to functional brain data. - Syed Ashrafulla; Justin P. Haldar; Anand A. Joshi; Richard M. Leahy (ISBI, 2012)

New linear transforms for data on a Fourier 2-sphere with application to diffusion MRI. - Justin P. Haldar; Richard M. Leahy (ISBI, 2012)

Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints. - Fan Lam; S. Derin Babacan; Justin P. Haldar; Norbert Schuff; Zhi-Pei Liang (ISBI, 2012)

Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET. - Yanguang Lin; Quanzheng Li; Justin P. Haldar; Richard M. Leahy (ISBI, 2012)

Image Reconstruction From Highly Undersampled ( k, t) -Space Data With Joint Partial Separability and Sparsity Constraints. - Bo Zhao 002; Justin P. Haldar; Anthony G. Christodoulou; Zhi-Pei Liang (IEEE Trans. Medical Imaging, 2012)

Causality in variance in electrophysiological data using the ARCH model. - Syed Ashrafulla; Justin P. Haldar; John C. Mosher; Richard M. Leahy (ACSSC, 2013)

The equivalence of linear spherical deconvolution and model-free linear transform methods for diffusion MRI. - Justin P. Haldar; Richard M. Leahy (ISBI, 2013)

A quadratic majorize-minimize framework for statistical estimation with noisy rician- and noncentral chi-distributed MR images. - Divya Varadarajan; Justin P. Haldar (ISBI, 2013)

More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs. - Jiading Gai; Nady Obeid; Joseph L. Holtrop; Xiaolong Wu; Fan Lam; Maojing Fu 001; Justin P. Haldar; Wen-mei W. Hwu; Zhi-Pei Liang; Bradley P. Sutton (J. Parallel Distributed Comput., 2013)

Canonical granger causality between regions of interest. - Syed Ashrafulla; Justin P. Haldar; Anand A. Joshi; Richard M. Leahy (NeuroImage, 2013)

Linear transforms for Fourier data on the sphere: Application to high angular resolution diffusion MRI of the brain. - Justin P. Haldar; Richard M. Leahy (NeuroImage, 2013)

Correction to "Compressed-sensing MRI with random encoding". - Justin P. Haldar; Diego Hernando; Zhi-Pei Liang (IEEE Trans. Medical Imaging, 2013)

Low-Rank Modeling of Local $k$-Space Neighborhoods (LORAKS) for Constrained MRI. - Justin P. Haldar (IEEE Trans. Medical Imaging, 2014)

Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET. - Yanguang Lin; Justin P. Haldar; Quanzheng Li; Peter S. Conti; Richard M. Leahy (IEEE Trans. Medical Imaging, 2014)

Correcting inhomogeneity-induced distortion in FMRI using non-rigid registration. - Micah C. Chambers; Chitresh Bhushan; Justin P. Haldar; Richard M. Leahy; David W. Shattuck (ISBI, 2015)

Autocalibrated loraks for fast constrained MRI reconstruction. - Justin P. Haldar (ISBI, 2015)

SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. - Tae Hyung Kim 001; Justin P. Haldar (ISBI, 2015)

Nonnegative matrix factorization for tissue mixture modeling with noisy MR magnitude image sequences. - Daeun Kim; Justin P. Haldar (ISBI, 2015)

MS-FRACT: Optimized linear transform methods for ODF estimation in multi-shell diffusion MRI. - Divya Varadarajan; Justin P. Haldar (ISBI, 2015)

Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization. - Chitresh Bhushan; Justin P. Haldar; Soyoung Choi; Anand A. Joshi; David W. Shattuck; Richard M. Leahy (NeuroImage, 2015)

A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images. - Divya Varadarajan; Justin P. Haldar (IEEE Trans. Medical Imaging, 2015)

Optimal experiment design for magnetic resonance fingerprinting. - Bo Zhao 002; Justin P. Haldar; Kawin Setsompop; Lawrence L. Wald (EMBC, 2016)

Greedy algorithms for nonnegativity-constrained simultaneous sparse recovery. - Daeun Kim; Justin P. Haldar (Signal Process., 2016)

Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. - Justin P. Haldar; Tae Hyung Kim 001 (ACSSC, 2017)

Improved efficiency for microstructure imaging using high-dimensional MR correlation spectroscopic imaging. - Daeun Kim; Jessica L. Wisnowski; Justin P. Haldar (ACSSC, 2017)

Individual parcellation of resting fMRI with a group functional connectivity prior. - Minqi Chong; Chitresh Bhushan; Anand A. Joshi; Soyoung Choi; Justin P. Haldar; David W. Shattuck; R. Nathan Spreng; Richard M. Leahy (NeuroImage, 2017)

A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment design. - Divya Varadarajan; Justin P. Haldar (NeuroImage, 2017)

The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. - Tae Hyung Kim 001; Justin P. Haldar (ISBI, 2018)

Probing in vivo microstructure with T1-T2 relaxation correlation spectroscopic imaging. - Daeun Kim; Jessica L. Wisnowski; Christopher T. Nguyen; Justin P. Haldar (ISBI, 2018)

Robust autocalibrated loraks for EPI ghost correction. - Rodrigo A. Lobos; Ahsan Javed; Krishna S. Nayak; W. Scott Hoge; Justin P. Haldar (ISBI, 2018)

Towards optimal linear estimation of orientation distribution functions with arbitrarily sampled diffusion MRI data. - Divya Varadarajan; Justin P. Haldar (ISBI, 2018)

Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. - Rodrigo A. Lobos; Tae Hyung Kim 001; W. Scott Hoge; Justin P. Haldar (IEEE Trans. Medical Imaging, 2018)

Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. - Tae Hyung Kim 001; Justin P. Haldar (ACSSC, 2019)

Low-Rank Modeling of Local Sinogram Neighborhoods with Tomographic Applications. - Rodrigo A. Lobos; Richard M. Leahy; Justin P. Haldar (ACSSC, 2019)

LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. - Tae Hyung Kim 001; Pratyush Garg; Justin P. Haldar (CoRR, 2019)

Robust Autocalibrated Structured Low-Rank EPI Ghost Correction. - Rodrigo A. Lobos; W. Scott Hoge; Ahsan Javed; Congyu Liao; Kawin Setsompop; Krishna S. Nayak; Justin P. Haldar (CoRR, 2019)

Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data. - Jian Li 033; Justin P. Haldar; John C. Mosher; Dileep R. Nair; Jorge A. Gonzalez-Martinez; Richard M. Leahy (IEEE Trans. Biomed. Eng., 2019)

OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI. - Justin P. Haldar; Daeun Kim (IEEE Trans. Medical Imaging, 2019)

Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics. - Bo Zhao 002; Justin P. Haldar; Congyu Liao; Dan Ma 004; Yun Jiang; Mark A. Griswold; Kawin Setsompop; Lawrence L. Wald (IEEE Trans. Medical Imaging, 2019)

3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. - Zalan Fabian; Justin P. Haldar; Richard M. Leahy; Mahdi Soltanolkotabi (EUSIPCO, 2020)

An Evaluation of Regularization Strategies for Subsampled Single-Shell Diffusion MRI. - Yunsong Liu; Congyu Liao; Kawin Setsompop; Justin P. Haldar (ISBI, 2020)

Autoregression and Structured Low-Rank Modeling of Sinograms. - Rodrigo A. Lobos; Richard M. Leahy; Justin P. Haldar (ISBI, 2020)

Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. - Tae Hyung Kim 001; Justin P. Haldar (CoRR, 2020)

Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging. - Justin P. Haldar; Kawin Setsompop (IEEE Signal Process. Mag., 2020)

PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm With Application to Separate Regularization of Magnitude and Phase. - Yunsong Liu; Justin P. Haldar (IEEE Trans. Computational Imaging, 2021)

Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods. - Rodrigo A. Lobos; Muhammad Usman Ghani 002; W. Clem Karl; Richard M. Leahy; Justin P. Haldar (IEEE Trans. Computational Imaging, 2021)

On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers. - Justin P. Haldar (IEEE Trans. Signal Process., 2023)

The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI. - Yunsong Liu; Congyu Liao; Kawin Setsompop; Justin P. Haldar (IEEE Trans. Computational Imaging, 2024)

New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI. - Rodrigo A. Lobos; Chin-Cheng Chan; Justin P. Haldar (IEEE Trans. Medical Imaging, 2024)

Rethinking Model-Based Non-Cartesian Fourier Imaging: A New K-Space Model. - Chin-Cheng Chan; Justin P. Haldar (ISBI, 2025)

A New k-Space Model for Non-Cartesian Fourier Imaging. - Chin-Cheng Chan; Justin P. Haldar (CoRR, 2025)