Search Results for author: Mariana Bento

Found 5 papers, 2 papers with code

A voxel-level approach to brain age prediction: A method to assess regional brain aging

1 code implementation17 Oct 2023 Neha Gianchandani, Mahsa Dibaji, Johanna Ospel, Fernando Vega, Mariana Bento, M. Ethan MacDonald, Roberto Souza

Brain aging is a regional phenomenon, a facet that remains relatively under-explored within the realm of brain age prediction research using machine learning methods.

Studying the Effects of Sex-related Differences on Brain Age Prediction using brain MR Imaging

no code implementations17 Oct 2023 Mahsa Dibaji, Neha Gianchandani, Akhil Nair, Mansi Singhal, Roberto Souza, Mariana Bento

We found disparities in the performance of brain age prediction models when trained on distinct sex subgroups and datasets, in both final predictions and decision making (assessed using interpretability models).

Decision Making Experimental Design +1

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

no code implementations23 Aug 2023 Neha Gianchandani, Mahsa Dibaji, Mariana Bento, Ethan MacDonald, Roberto Souza

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.

Dual-domain Cascade of U-nets for Multi-channel Magnetic Resonance Image Reconstruction

no code implementations4 Nov 2019 Roberto Souza, Mariana Bento, Nikita Nogovitsyn, Kevin J. Chung, R. Marc Lebel, Richard Frayne

The two element network combinations were evaluated for the four possible image-k-space domain configurations: a) W-net II, b) W-net KK, c) W-net IK, and d) W-net KI were evaluated.

Image Reconstruction

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