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Magma (New York, N.Y.)|March 19, 2026
Well-designed k-space coverage is important for good MRI denoisingJiayang Wang, Justin P HaldarIEEE Transactions on Computational Imaging|August 30, 2021
PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm with Application to Separate Regularization of Magnitude and PhaseYunsong Liu, Justin P HaldarIEEE Signal Processing Letters|March 6, 2012
Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorizationJustin P Haldar, Diego HernandoIEEE Transactions on Medical Imaging|May 3, 2015
A majorize-minimize framework for Rician and non-central chi MR imagesDivya Varadarajan, Justin P HaldarMagnetic Resonance in Medicine|May 9, 2015
P-LORAKS: Low-rank modeling of local k-space neighborhoods with parallel imaging dataJustin P Haldar, Jingwei ZhuoMagnetic Resonance in Medicine|February 25, 2022
On the shape of convolution kernels in MRI reconstruction: Rectangles versus ellipsoidsRodrigo A Lobos, Justin P HaldarProceedings. IEEE International Symposium on Biomedical Imaging|April 23, 2019
THE FOURIER RADIAL ERROR SPECTRUM PLOT: A MORE NUANCED QUANTITATIVE EVALUATION OF IMAGE RECONSTRUCTION QUALITYTae Hyung Kim, Justin P HaldarNeuroimage|January 29, 2013
Linear transforms for Fourier data on the sphere: application to high angular resolution diffusion MRI of the brainJustin P Haldar, Richard M LeahyOptimization and Engineering|June 3, 2022
Efficient iterative solutions to complex-valued nonlinear least-squares problems with mixed linear and antilinear operatorsTae Hyung Kim, Justin P HaldarAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 16, 2007
High-resolution diffusion MRIJustin P Haldar, Zhi-Pei LiangPageof 8