activity
20172025
most citedNavigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods

45 citations · 45 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2025

Well-Designed k-Space Coverage is Important for Good MRI Denoising

Jiayang Wang, Justin P. Haldar

Object: Modern computational MRI denoising approaches are often designed assuming fixed k-space coverage. This contrasts with earlier acquisition-design literature that leveraged k…

eess.SP2024

Shannon-like Interpolation with Spectral Priors and Weighted Hilbert Spaces: Beyond the Nyquist Rate

Justin P. Haldar

In this work, we draw connections between the classical Shannon interpolation of bandlimited deterministic signals and the literature on estimating continuous-time random processes…

physics.med-ph2023

Blip-Up Blip-Down Circular EPI (BUDA-cEPI) for Distortion-Free dMRI with Rapid Unrolled Deep Learning Reconstruction

Uten Yarach, Itthi Chatnuntawech, Congyu Liao +9

Purpose: We implemented the blip-up, blip-down circular echo planar imaging (BUDA-cEPI) sequence with readout and phase partial Fourier to reduced off-resonance effect and T2* blur…

math.NA2020

Efficient Iterative Solutions to Complex-Valued Nonlinear Least-Squares Problems with Mixed Linear and Antilinear Operators

Tae Hyung Kim, Justin P. Haldar

We consider a setting in which it is desired to find an optimal complex vector that satisfies in a least-sq…

cs.CV2017★ 45 cited

Navigator-free EPI Ghost Correction with Structured Low-Rank Matrix Models: New Theory and Methods

Rodrigo A. Lobos, Tae Hyung Kim, W. Scott Hoge +1

Structured low-rank matrix models have previously been introduced to enable calibrationless MR image reconstruction from sub-Nyquist data, and such ideas have recently been extende…