Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Justin P Haldar

Showing results (1-10 of 74) with videos related to

Pageof 8
Sort By:
IEEE 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 Haldar
Magnetic Resonance in Medicine|April 11, 2026
The "State of the Art" in MR Image Reconstruction? Knowledge, Culture, and What We Leave Behind in An Era of Big Data and Machine LearningJustin P Haldar
IEEE Transactions on Medical Imaging|March 6, 2014
Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRIJustin P Haldar
IEEE Transactions on Medical Imaging|February 5, 2019
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRIJustin P Haldar, Daeun Kim
Neuroimage|August 24, 2017
A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment designDivya Varadarajan, Justin P Haldar
Signal Processing|March 15, 2016
Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse RecoveryDaeun Kim, Justin P Haldar
Proceedings. 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 Haldar
Magma (New York, N.Y.)|March 19, 2026
Well-designed k-space coverage is important for good MRI denoisingJiayang Wang, Justin P Haldar
IEEE Signal Processing Magazine|March 22, 2021
Linear Predictability in MRI Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better ImagingJustin P Haldar, Kawin Setsompop
IEEE 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 Haldar
Pageof 8

Showing results (1-10 of 74) with videos related to

Sort By:
Pageof 8
IEEE 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 Haldar
Magnetic Resonance in Medicine|April 11, 2026
The "State of the Art" in MR Image Reconstruction? Knowledge, Culture, and What We Leave Behind in An Era of Big Data and Machine LearningJustin P Haldar
IEEE Transactions on Medical Imaging|March 6, 2014
Low-rank modeling of local k-space neighborhoods (LORAKS) for constrained MRIJustin P Haldar
IEEE Transactions on Medical Imaging|February 5, 2019
OEDIPUS: An Experiment Design Framework for Sparsity-Constrained MRIJustin P Haldar, Daeun Kim
Neuroimage|August 24, 2017
A theoretical signal processing framework for linear diffusion MRI: Implications for parameter estimation and experiment designDivya Varadarajan, Justin P Haldar
Signal Processing|March 15, 2016
Greedy Algorithms for Nonnegativity-Constrained Simultaneous Sparse RecoveryDaeun Kim, Justin P Haldar
Proceedings. 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 Haldar
Magma (New York, N.Y.)|March 19, 2026
Well-designed k-space coverage is important for good MRI denoisingJiayang Wang, Justin P Haldar
IEEE Signal Processing Magazine|March 22, 2021
Linear Predictability in MRI Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better ImagingJustin P Haldar, Kawin Setsompop
IEEE 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 Haldar
Pageof 8