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20182026
most citedA Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

9 citations · 30 across the 27 of their papers we have counts for

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eess.IV2026

FINDER: Zero-Shot Field-Integrated Network for Distortion-free EPI Reconstruction in Diffusion MRI

Namgyu Han, Seong Dae Yun, Chaeeun Lim +7

Echo-planar imaging (EPI) remains the cornerstone of diffusion MRI, but it is prone to severe geometric distortions due to its rapid sampling scheme that renders the sequence highl…

eess.IV2025

Deep learning water-unsuppressed MRSI at ultra-high field for simultaneous quantitative metabolic, susceptibility and myelin water imaging

Paul J. Weiser, Jiye Kim, Jongho Lee +6

Purpose: Magnetic Resonance Spectroscopic Imaging (MRSI) maps endogenous brain metabolism while suppressing the overwhelming water signal. Water-unsuppressed MRSI (wu-MRSI) allows…

eess.IV2025

GACELLE: GPU-accelerated tools for model parameter estimation and image reconstruction

Kwok-Shing Chan, Hansol Lee, Yixin Ma +4

Quantitative MRI (qMRI) offers tissue-specific biomarkers that can be tracked over time or compared across populations; however, its adoption in clinical research is hindered by si…

eess.IV20259 cited

A Tutorial on MRI Reconstruction: From Modern Methods to Clinical Implications

Tolga Çukur, Salman U. H. Dar, Valiyeh Ansarian Nezhad +4

MRI is an indispensable clinical tool, offering a rich variety of tissue contrasts to support broad diagnostic and research applications. Clinical exams routinely acquire multiple…

eess.IV2025

Rapid Whole Brain Motion-robust Mesoscale In-vivo MR Imaging using Multi-scale Implicit Neural Representation

Jun Lyu, Lipeng Ning, William Consagra +4

High-resolution whole-brain in vivo MR imaging at mesoscale resolutions remains challenging due to long scan durations, motion artifacts, and limited signal-to-noise ratio (SNR). T…

eess.IV2024

χ-sepnet: Deep neural network for magnetic susceptibility source separation

Minjun Kim, Sooyeon Ji, Jiye Kim +8

Magnetic susceptibility source separation (-separation), an advanced quantitative susceptibility mapping (QSM) method, enables the separate estimation of para- and diamagnetic s…