most citedMulti-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2023

Reframing the Brain Age Prediction Problem to a More Interpretable and Quantitative Approach

Neha Gianchandani, Mahsa Dibaji, Mariana Bento +2

Deep learning models have achieved state-of-the-art results in estimating brain age, which is an important brain health biomarker, from magnetic resonance (MR) images. However, mos…

eess.IV2020★ 2 cited

Multi-Coil MRI Reconstruction Challenge -- Assessing Brain MRI Reconstruction Models and their Generalizability to Varying Coil Configurations

Youssef Beauferris, Jonas Teuwen, Dimitrios Karkalousos +20

Deep-learning-based brain magnetic resonance imaging (MRI) reconstruction methods have the potential to accelerate the MRI acquisition process. Nevertheless, the scientific communi…