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Magnetic Resonance in Medicine|June 3, 2021
Local perturbation responses and checkerboard tests: Characterization tools for nonlinear MRI methodsChin-Cheng Chan, Justin P HaldarIEEE Transactions on Computational Imaging|July 9, 2026
A New k-Space Model for Non-Cartesian Fourier ImagingChin-Cheng Chan, Justin P HaldarIEEE Transactions on Medical Imaging|July 21, 2023
New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRIRodrigo A Lobos, Chin-Cheng Chan, Justin P HaldarIEEE Transactions on Signal Processing : a Publication of the IEEE Signal Processing Society|June 29, 2023
On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition NumbersJustin P HaldarIEEE Transactions on Medical Imaging|March 6, 2014
Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRIJustin P HaldarMagma (New York, N.Y.)|June 29, 2026
An evaluation of brain volume and cortical thickness measurement at 0.55 TAnand A Joshi, Sophia X Cui, Chin-Cheng Chan, et al.IEEE Transactions on Medical Imaging|February 5, 2019
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRIJustin P Haldar, Daeun KimNeuroimage|August 24, 2017
A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment designDivya Varadarajan, Justin P HaldarSignal Processing|March 15, 2016
Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse RecoveryDaeun Kim, Justin P HaldarProceedings. IEEE International Symposium on Biomedical Imaging|April 9, 2019
TOWARDS OPTIMAL LINEAR ESTIMATION OF ORIENTATION DISTRIBUTION FUNCTIONS WITH ARBITRARILY SAMPLED DIFFUSION MRI DATADivya Varadarajan, Justin P HaldarPageof 8