activity
20232026
most citedMaximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping

8 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Spectral Vision Transformer for Efficient Tokenization with Limited Data

Alexandra G. Roberts, Maneesh John, Jinwei Zhang +10

We propose a novel spectral vision transformer architecture for efficient tokenization in limited data, with an emphasis on medical imaging. We outline convenient theoretical prope…

eess.IV2025

Synthetic Generation and Latent Projection Denoising of Rim Lesions in Multiple Sclerosis

Alexandra G. Roberts, Ha M. Luu, Mert Şişman +6

Quantitative susceptibility maps from magnetic resonance images can provide both prognostic and diagnostic information in multiple sclerosis, a neurodegenerative disease characteri…

physics.med-ph2024

Implicit neural representation for free-breathing MR fingerprinting (INR-MRF): co-registered 3D whole-liver water T1, water T2, proton density fat fraction, and R2* mapping

Chao Li, Jiahao Li, Jinwei Zhang +6

Purpose: To develop an MRI technique for free-breathing 3D whole-liver quantification of water T1, water T2, proton density fat fraction (PDFF), R2*. Methods: An Eight-echo spoiled…

physics.med-ph2024

MRI quantification of liver fibrosis using diamagnetic susceptibility: An ex-vivo feasibility study

Chao Li, Jinwei Zhang, Alexey V. Dimov +8

In chronic liver disease, liver fibrosis develops as excessive deposition of extracellular matrix macromolecules, predominantly collagens, progressively form fibrous scars that dis…

eess.IV2023

High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase

Jinwei Zhang, Alexey Dimov, Chao Li +4

Purpose: To improve the generalization ability of deep learning based predictions of quantitative susceptibility mapping (QSM) from high-pass filtered phase (HPFP) data. Methods: A…

eess.IV2023★ 8 cited

Maximum Spherical Mean Value (mSMV) Filtering for Whole Brain Quantitative Susceptibility Mapping

Alexandra G. Roberts, Dominick J. Romano, Mert Şişman +6

To develop a tissue field filtering algorithm, called maximum Spherical Mean Value (mSMV), for reducing shadow artifacts in quantitative susceptibility mapping (QSM) of the brain w…