activity
20182024
most citedCG-SENSE revisited: Results from the first ISMRM reproducibility challenge

36 citations · 61 across the 6 of their papers we have counts for

collaborators

6 papers

physics.med-ph2024★ 12 cited

Denoising Improves Cross-Scanner and Cross-Protocol Test-Retest Reproducibility of Higher-Order Diffusion Metrics

Benjamin Ades-Aron, Santiago Coelho, Gregory Lemberskiy +5

The clinical translation of diffusion MRI (dMRI)-derived quantitative contrasts hinges on robust reproducibility, minimizing both same-scanner and cross-scanner variability. This s…

physics.med-ph2023★ 2 cited

FastMRI Prostate: A Publicly Available, Biparametric MRI Dataset to Advance Machine Learning for Prostate Cancer Imaging

Radhika Tibrewala, Tarun Dutt, Angela Tong +8

The fastMRI brain and knee dataset has enabled significant advances in exploring reconstruction methods for improving speed and image quality for Magnetic Resonance Imaging (MRI) v…

physics.bio-ph2022★ 2 cited

Reproducibility of the Standard Model of diffusion in white matter on clinical MRI systems

Santiago Coelho, Steven H. Baete, Gregory Lemberskiy +5

Estimating intra- and extra-axonal microstructure parameters, such as volume fractions and diffusivities, has been one of the major efforts in brain microstructure imaging with MRI…

eess.IV2020★ 36 cited

CG-SENSE revisited: Results from the first ISMRM reproducibility challenge

Oliver Maier, Steven H. Baete, Alexander Fyrdahl +11

Purpose: The aim of this work is to shed light on the issue of reproducibility in MR image reconstruction in the context of a challenge. Participants had to recreate the results of…

physics.med-ph2019

Fingerprinting Orientation Distribution Functions in Diffusion MRI detects smaller crossing angles

Steven H. Baete, Martijn A. Cloos, Ying-Chia Lin +3

Diffusion tractography is routinely used to study white matter architecture and brain connectivity in vivo. A key step for successful tractography of neuronal tracts is the correct…

physics.med-ph2018★ 9 cited

Low Rank plus Sparse Decomposition of ODFs for Improved Detection of Group-level Differences and Variable Correlations in White Matter

Steven H. Baete, Jingyun Chen, Ying-Chia Lin +3

A novel approach is presented for group statistical analysis of diffusion weighted MRI datasets through voxelwise Orientation Distribution Functions (ODF). Recent advances in MRI a…