Justin P. Haldar

80 papers Misc 5Journal 33Unranked 41

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A New k-Space Model for Non-Cartesian Fourier Imaging. CoRR Chin-Cheng Chan, Justin P. Haldar
2025	J	`jnl`	An Efficient Algorithm for Spatial-Spectral Partial Volume Compartment Mapping With Applications to Multicomponent Diffusion and Relaxation MRI. IEEE Trans. Computational Imaging Yunsong Liu, Debdut Mandal, Congyu Liao, Kawin Setsompop, Justin P. Haldar
2025	—	`conf`	Can Imaging Still See the Unseen in the Age of AI? Implications for Scientific Discovery. IEEECONF Jiayang Wang, Justin P. Haldar
2025	—	`conf`	Rethinking Model-Based Non-Cartesian Fourier Imaging: A New K-Space Model. ISBI Chin-Cheng Chan, Justin P. Haldar
2024	J	`jnl`	New Theory and Faster Computations for Subspace-Based Sensitivity Map Estimation in Multichannel MRI. IEEE Trans. Medical Imaging Rodrigo A. Lobos, Chin-Cheng Chan, Justin P. Haldar
2024	J	`jnl`	The Potential of Phase Constraints for Non-Fourier Radiofrequency-Encoded MRI. IEEE Trans. Computational Imaging Yunsong Liu, Congyu Liao, Kawin Setsompop, Justin P. Haldar
2023	J	`jnl`	On Ambiguity in Linear Inverse Problems: Entrywise Bounds on Nearly Data-Consistent Solutions and Entrywise Condition Numbers. IEEE Trans. Signal Process. Justin P. Haldar
2021	J	`jnl`	Autoregression and Structured Low-Rank Modeling of Sinogram Neighborhoods. IEEE Trans. Computational Imaging Rodrigo A. Lobos, Muhammad Usman Ghani, W. Clem Karl, Richard M. Leahy, Justin P. Haldar
2021	J	`jnl`	PALMNUT: An Enhanced Proximal Alternating Linearized Minimization Algorithm With Application to Separate Regularization of Magnitude and Phase. IEEE Trans. Computational Imaging Yunsong Liu, Justin P. Haldar
2020	—	`conf`	3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. EUSIPCO Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi
2020	J	`jnl`	3D Phase Retrieval at Nano-Scale via Accelerated Wirtinger Flow. CoRR Zalan Fabian, Justin P. Haldar, Richard M. Leahy, Mahdi Soltanolkotabi
2020	—	`conf`	An Evaluation of Regularization Strategies for Subsampled Single-Shell Diffusion MRI. ISBI Yunsong Liu, Congyu Liao, Kawin Setsompop, Justin P. Haldar
2020	—	`conf`	Autoregression and Structured Low-Rank Modeling of Sinograms. ISBI Rodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar
2020	J	`jnl`	Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators. CoRR Tae Hyung Kim, Justin P. Haldar
2020	J	`jnl`	Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging. IEEE Signal Process. Mag. Justin P. Haldar, Kawin Setsompop
2019	J	`jnl`	LORAKI: Autocalibrated Recurrent Neural Networks for Autoregressive MRI Reconstruction in k-Space. CoRR Tae Hyung Kim, Pratyush Garg, Justin P. Haldar
2019	Misc	`conf`	Learning How to Interpolate Fourier Data With Unknown Autoregressive Structure: An Ensemble-Based Approach. ACSSC Tae Hyung Kim, Justin P. Haldar
2019	Misc	`conf`	Low-Rank Modeling of Local Sinogram Neighborhoods with Tomographic Applications. ACSSC Rodrigo A. Lobos, Richard M. Leahy, Justin P. Haldar
2019	J	`jnl`	OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRI. IEEE Trans. Medical Imaging Justin P. Haldar, Daeun Kim
2019	J	`jnl`	Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics. IEEE Trans. Medical Imaging Bo Zhao, Justin P. Haldar, Congyu Liao, Dan Ma, Yun Jiang, Mark A. Griswold, Kawin Setsompop, Lawrence L. Wald
2019	J	`jnl`	Robust Autocalibrated Structured Low-Rank EPI Ghost Correction. CoRR Rodrigo A. Lobos, W. Scott Hoge, Ahsan Javed, Congyu Liao, Kawin Setsompop, Krishna S. Nayak, Justin P. Haldar
2019	J	`jnl`	Scalable and Robust Tensor Decomposition of Spontaneous Stereotactic EEG Data. IEEE Trans. Biomed. Eng. Jian Li, Justin P. Haldar, John C. Mosher, Dileep R. Nair, Jorge A. Gonzalez-Martinez, Richard M. Leahy
2018	J	`jnl`	Navigator-Free EPI Ghost Correction With Structured Low-Rank Matrix Models: New Theory and Methods. IEEE Trans. Medical Imaging Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
2018	—	`conf`	Probing in vivo microstructure with T1-T2 relaxation correlation spectroscopic imaging. ISBI Daeun Kim, Jessica L. Wisnowski, Christopher T. Nguyen, Justin P. Haldar
2018	—	`conf`	Robust autocalibrated loraks for EPI ghost correction. ISBI Rodrigo A. Lobos, Ahsan Javed, Krishna S. Nayak, W. Scott Hoge, Justin P. Haldar
2018	—	`conf`	The Fourier radial error spectrum plot: A more nuanced quantitative evaluation of image reconstruction quality. ISBI Tae Hyung Kim, Justin P. Haldar
2018	—	`conf`	Towards optimal linear estimation of orientation distribution functions with arbitrarily sampled diffusion MRI data. ISBI Divya Varadarajan, Justin P. Haldar
2017	J	`jnl`	A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment design. NeuroImage Divya Varadarajan, Justin P. Haldar
2017	Misc	`conf`	Computational imaging with loraks: Reconstructing linearly predictable signals using low-rank matrix regularization. ACSSC Justin P. Haldar, Tae Hyung Kim
2017	Misc	`conf`	Improved efficiency for microstructure imaging using high-dimensional MR correlation spectroscopic imaging. ACSSC Daeun Kim, Jessica L. Wisnowski, Justin P. Haldar
2017	J	`jnl`	Individual parcellation of resting fMRI with a group functional connectivity prior. NeuroImage Minqi Chong, Chitresh Bhushan, Anand A. Joshi, Soyoung Choi, Justin P. Haldar, David W. Shattuck, R. Nathan Spreng, Richard M. Leahy
2017	J	`jnl`	Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods. CoRR Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge, Justin P. Haldar
2016	J	`jnl`	Greedy algorithms for nonnegativity-constrained simultaneous sparse recovery. Signal Process. Daeun Kim, Justin P. Haldar
2016	—	`conf`	Optimal experiment design for magnetic resonance fingerprinting. EMBC Bo Zhao, Justin P. Haldar, Kawin Setsompop, Lawrence L. Wald
2015	J	`jnl`	A Majorize-Minimize Framework for Rician and Non-Central Chi MR Images. IEEE Trans. Medical Imaging Divya Varadarajan, Justin P. Haldar
2015	—	`conf`	Autocalibrated loraks for fast constrained MRI reconstruction. ISBI Justin P. Haldar
2015	J	`jnl`	Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization. NeuroImage Chitresh Bhushan, Justin P. Haldar, Soyoung Choi, Anand A. Joshi, David W. Shattuck, Richard M. Leahy
2015	—	`conf`	Correcting inhomogeneity-induced distortion in FMRI using non-rigid registration. ISBI Micah C. Chambers, Chitresh Bhushan, Justin P. Haldar, Richard M. Leahy, David W. Shattuck
2015	—	`conf`	MS-FRACT: Optimized linear transform methods for ODF estimation in multi-shell diffusion MRI. ISBI Divya Varadarajan, Justin P. Haldar
2015	—	`conf`	Nonnegative matrix factorization for tissue mixture modeling with noisy MR magnitude image sequences. ISBI Daeun Kim, Justin P. Haldar
2015	—	`conf`	SMS-LORAKS: Calibrationless simultaneous multislice MRI using low-rank matrix modeling. ISBI Tae Hyung Kim, Justin P. Haldar
2014	J	`jnl`	Low-Rank Modeling of Local $k$-Space Neighborhoods (LORAKS) for Constrained MRI. IEEE Trans. Medical Imaging Justin P. Haldar
2014	J	`jnl`	Sparsity Constrained Mixture Modeling for the Estimation of Kinetic Parameters in Dynamic PET. IEEE Trans. Medical Imaging Yanguang Lin, Justin P. Haldar, Quanzheng Li, Peter S. Conti, Richard M. Leahy
2013	—	`conf`	A quadratic majorize-minimize framework for statistical estimation with noisy rician- and noncentral chi-distributed MR images. ISBI Divya Varadarajan, Justin P. Haldar
2013	J	`jnl`	Canonical granger causality between regions of interest. NeuroImage Syed Ashrafulla, Justin P. Haldar, Anand A. Joshi, Richard M. Leahy
2013	Misc	`conf`	Causality in variance in electrophysiological data using the ARCH model. ACSSC Syed Ashrafulla, Justin P. Haldar, John C. Mosher, Richard M. Leahy
2013	J	`jnl`	Correction to "Compressed-sensing MRI with random encoding". IEEE Trans. Medical Imaging Justin P. Haldar, Diego Hernando, Zhi-Pei Liang
2013	J	`jnl`	Linear transforms for Fourier data on the sphere: Application to high angular resolution diffusion MRI of the brain. NeuroImage Justin P. Haldar, Richard M. Leahy
2013	J	`jnl`	More IMPATIENT: A gridding-accelerated Toeplitz-based strategy for non-Cartesian high-resolution 3D MRI on GPUs. J. Parallel Distributed Comput. Jiading Gai, Nady Obeid, Joseph L. Holtrop, Xiaolong Wu, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton
2013	—	`conf`	The equivalence of linear spherical deconvolution and model-free linear transform methods for diffusion MRI. ISBI Justin P. Haldar, Richard M. Leahy
2012	—	`conf`	Canonical Granger causality applied to functional brain data. ISBI Syed Ashrafulla, Justin P. Haldar, Anand A. Joshi, Richard M. Leahy
2012	—	`conf`	Constrained mixture modeling for the estimation of kinetic parameters in dynamic PET. ISBI Yanguang Lin, Quanzheng Li, Justin P. Haldar, Richard M. Leahy
2012	—	`conf`	Correcting susceptibility-induced distortion in diffusion-weighted MRI using constrained nonrigid registration. APSIPA Chitresh Bhushan, Justin P. Haldar, Anand A. Joshi, Richard M. Leahy
2012	—	`conf`	Denoising diffusion-weighted MR magnitude image sequences using low rank and edge constraints. ISBI Fan Lam, S. Derin Babacan, Justin P. Haldar, Norbert Schuff, Zhi-Pei Liang
2012	J	`jnl`	Image Reconstruction From Highly Undersampled ( k, t) -Space Data With Joint Partial Separability and Sparsity Constraints. IEEE Trans. Medical Imaging Bo Zhao, Justin P. Haldar, Anthony G. Christodoulou, Zhi-Pei Liang
2012	—	`conf`	New linear transforms for data on a Fourier 2-sphere with application to diffusion MRI. ISBI Justin P. Haldar, Richard M. Leahy
2011	—	`conf`	Advanced MRI reconstruction toolbox with accelerating on GPU. Parallel Processing for Imaging Applications Xiaolong Wu, Yue Zhuo, Jiading Gai, Fan Lam, Maojing Fu, Justin P. Haldar, Wen-mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton
2011	J	`jnl`	Compressed-Sensing MRI With Random Encoding. IEEE Trans. Medical Imaging Justin P. Haldar, Diego Hernando, Zhi-Pei Liang
2011	—	`—`	Constrained imaging: denoising and sparse sampling Justin P. Haldar
2011	J	`jnl`	Deconvolved Spatial Light Interference Microscopy for Live Cell Imaging. IEEE Trans. Biomed. Eng. Justin P. Haldar, Zhuo Wang, Gabriel Popescu, Zhi-Pei Liang
2011	—	`conf`	Further development of image reconstruction from highly undersampled (k, t)-space data with joint partial separability and sparsity constraints. ISBI Bo Zhao, Justin P. Haldar, Anthony G. Christodoulou, Zhi-Pei Liang
2011	—	`conf`	Impatient MRI: Illinois Massively Parallel Acceleration Toolkit for image reconstruction with enhanced throughput in MRI. ISBI Xiaolong Wu, Jiading Gai, Fan Lam, Maojing Fu, Justin P. Haldar, Yue Zhuo, Zhi-Pei Liang, Wen-mei W. Hwu, Bradley P. Sutton
2011	—	`conf`	Low-rank approximations for dynamic imaging. ISBI Justin P. Haldar, Zhi-Pei Liang
2011	—	`conf`	Motion compensation for reference-constrained image reconstruction from limited data. ISBI Fan Lam, Justin P. Haldar, Zhi-Pei Liang
2011	—	`conf`	On MR experiment design with quadratic regularization. ISBI Justin P. Haldar, Zhi-Pei Liang
2010	—	`conf`	Accelerating iterative field-compensated MR image reconstruction on GPUS. ISBI Yue Zhuo, Xiaolong Wu, Justin P. Haldar, Wen-mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton
2010	—	`conf`	Denoising of MR spectroscopic imaging data with spatial-spectral regularization. ISBI Hien M. Nguyen, Justin P. Haldar, Minh N. Do, Zhi-Pei Liang
2010	—	`conf`	Low rank matrix recovery for real-time cardiac MRI. ISBI Bo Zhao, Justin P. Haldar, Cornelius Brinegar, Zhi-Pei Liang
2010	—	`conf`	Spatiotemporal imaging with partially separable functions: a matrix recovery approach. ISBI Justin P. Haldar, Zhi-Pei Liang
2009	—	`conf`	Accelerating MR Image Reconstruction on GPUS. ISBI Wen-mei W. Hwu, Deepthi Nandakumar, Justin P. Haldar, Ian C. Atkinson, Bradley P. Sutton, Zhi-Pei Liang, Keith R. Thulborn
2009	J	`jnl`	Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization. IEEE Signal Process. Lett. Justin P. Haldar, Diego Hernando
2009	—	`conf`	Super-Resolution Reconstruction of MR Image Sequences with Contrast Modeling. ISBI Justin P. Haldar, Diego Hernando, Zhi-Pei Liang
2008	J	`jnl`	Accelerating advanced MRI reconstructions on GPUs. J. Parallel Distributed Comput. Sam S. Stone, Justin P. Haldar, Stephanie C. Tsao, Wen-mei W. Hwu, Bradley P. Sutton, Zhi-Pei Liang
2008	—	`conf`	Accelerating advanced mri reconstructions on gpus. Conf. Computing Frontiers Sam S. Stone, Justin P. Haldar, Stephanie C. Tsao, Wen-mei W. Hwu, Zhi-Pei Liang, Bradley P. Sutton
2008	—	`conf`	Joint reconstruction of noisy high-resolution MR image sequences. ISBI Justin P. Haldar, Zhi-Pei Liang
2007	—	`conf`	Removal of Lipid Signal in MRSI Using Spatial-Spectral Constraints. ISBI Diego Hernando, Justin P. Haldar, Bradley P. Sutton, Zhi-Pei Liang
2007	—	`conf`	Shaping Spatial Response Functions for Optimal Estimation of Compartmental Signals from Limited Fourier Data. ISBI Justin P. Haldar, Diego Hernando, Zhi-Pei Liang
2006	—	`conf`	On model-based MR spectroscopic imaging. ISBI Mathews Jacob, Bradley P. Sutton, Justin P. Haldar, Zhi-Pei Liang
2006	—	`conf`	Reduced-encoding MRI using higher-order generalized series. ISBI Diego Hernando, Justin P. Haldar, Zhi-Pei Liang
2006	—	`conf`	Regularized inversion of noisy, incomplete MR spectroscopic imaging data with anatomical prior. ISBI Justin P. Haldar, Mathews Jacob, Andreas Ebel, Xiaoping Zhu, Norbert Schuff, Diego Hernando, Bradley P. Sutton, Zhi-Pei Liang