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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.IV2019★ 1 cited
Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction
Roberto Souza, Mariana Bento, Nikita Nogovitsyn +3
The U-net is a deep-learning network model that has been used to solve a number of inverse problems. In this work, the concatenation of two-element U-nets, termed the W-net, operat…