Search Results for author: Mary E. Meyerand

Found 3 papers, 0 papers with code

Bayesian Conditional GAN for MRI Brain Image Synthesis

no code implementations25 May 2020 Gengyan Zhao, Mary E. Meyerand, Rasmus M. Birn

Compared with the conventional Bayesian neural network with Monte Carlo dropout, results of the proposed method reach a significant lower RMSE with a p-value of 0. 0186.

Denoising Generative Adversarial Network +3

Deep Learning and Bayesian Deep Learning Based Gender Prediction in Multi-Scale Brain Functional Connectivity

no code implementations18 May 2020 Gengyan Zhao, Gyujoon Hwang, Cole J. Cook, Fang Liu, Mary E. Meyerand, Rasmus M. Birn

Hence, in this study we propose to predict gender from multiple scales of brain FC with deep learning, which can extract full FC patterns as features.

Gender Prediction

Cannot find the paper you are looking for? You can Submit a new open access paper.