3 citations · 3 across the 4 of their papers we have counts for
5 papers
Quiet, rapid 3D multiparametric mapping using magnetization-prepared zero echo time MRI
Alireza Samadifardheris, Shishuai Wang, Ana Beatriz Solana +10
Purpose: To introduce and evaluate MuPa-ZTE, a quiet, rapid 3D framework combining native and magnetization-prepared zero echo time (ZTE) acquisitions for multiparametric mapping.…
Evaluating and Calibrating Diffusion Model-derived Uncertainty for Quantitative MRI Mapping
Shishuai Wang, Stefan Klein, Juan A. Hernandez-Tamames +1
Quantitative MRI (qMRI) provides standardised tissue parameter maps, but the reliability of deep learning-based qMRI mapping methods is often not explicitly characterised. In this…
q3-MuPa: Quick, Quiet, Quantitative Multi-Parametric MRI using Physics-Informed Diffusion Models
Shishuai Wang, Florian Wiesinger, Noemi Sgambelluri +4
The 3D fast silent multi-parametric mapping sequence with zero echo time (MuPa-ZTE) is a novel quantitative MRI (qMRI) acquisition that enables nearly silent scanning by using a 3D…
Self-Supervised Weighted Image Guided Quantitative MRI Super-Resolution
Alireza Samadifardheris, Dirk H. J. Poot, Florian Wiesinger +2
Object: To present and evaluate Self-supervised Weighted Image Guided quantitative MRI Super-Resolution (SWIG qMRI SR), a physics-informed framework recovering high-resolution (HR)…
qMRI Diffuser: Quantitative T1 Mapping of the Brain using a Denoising Diffusion Probabilistic Model
Shishuai Wang, Hua Ma, Juan A. Hernandez-Tamames +2
Quantitative MRI (qMRI) offers significant advantages over weighted images by providing objective parameters related to tissue properties. Deep learning-based methods have demonstr…