4 citations · 5 across the 4 of their papers we have counts for
4 papers
The Effect of Epidemiological Cohort Creation on the Machine Learning Prediction of Homelessness and Police Interaction Outcomes Using Administrative Health Care Data
Faezehsadat Shahidi, M. Ethan MacDonald, Dallas Seitz +1
Background: Mental illness can lead to adverse outcomes such as homelessness and police interaction and understanding of the events leading up to these adverse outcomes is importan…
Denoising Simulated Low-Field MRI (70mT) using Denoising Autoencoders (DAE) and Cycle-Consistent Generative Adversarial Networks (Cycle-GAN)
Fernando Vega, Abdoljalil Addeh, M. Ethan MacDonald
In this work, a denoising Cycle-GAN (Cycle Consistent Generative Adversarial Network) is implemented to yield high-field, high resolution, high signal-to-noise ratio (SNR) Magnetic…
Using BOLD-fMRI to Compute the Respiration Volume per Time (RTV) and Respiration Variation (RV) with Convolutional Neural Networks (CNN) in the Human Connectome Development Cohort
Abdoljalil Addeh, Fernando Vega, Rebecca J Williams +3
In many fMRI studies, respiratory signals are unavailable or do not have acceptable quality. Consequently, the direct removal of low-frequency respiratory variations from BOLD sign…
Bidirectional Modeling and Analysis of Brain Aging with Normalizing Flows
Matthias Wilms, Jordan J. Bannister, Pauline Mouches +4
Brain aging is a widely studied longitudinal process throughout which the brain undergoes considerable morphological changes and various machine learning approaches have been propo…