most citedAnatomically-Informed Data Augmentation for functional MRI with Applications to Deep Learning

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

stat.ML2022

UQ-ARMED: Uncertainty quantification of adversarially-regularized mixed effects deep learning for clustered non-iid data

Alex Treacher, Kevin Nguyen, Dylan Owens +2

This work demonstrates the ability to produce readily interpretable statistical metrics for model fit, fixed effects covariance coefficients, and prediction confidence. Importantly…

cs.LG2022

DC and SA: Robust and Efficient Hyperparameter Optimization of Multi-subnetwork Deep Learning Models

Alex H. Treacher, Albert Montillo

We present two novel hyperparameter optimization strategies for optimization of deep learning models with a modular architecture constructed of multiple subnetworks. As complex net…

cs.LG20221 cited

Adversarially-regularized mixed effects deep learning (ARMED) models for improved interpretability, performance, and generalization on clustered data

Kevin P. Nguyen, Albert Montillo

Natural science datasets frequently violate assumptions of independence. Samples may be clustered (e.g. by study site, subject, or experimental batch), leading to spurious associat…

eess.SP2019

Prediction of individual progression rate in Parkinson's disease using clinical measures and biomechanical measures of gait and postural stability

Vyom Raval, Kevin P. Nguyen, Ashley Gerald +2

Parkinson's disease (PD) is a common neurological disorder characterized by gait impairment. PD has no cure, and an impediment to developing a treatment is the lack of any accepted…

cs.LG2019

Architectural configurations, atlas granularity and functional connectivity with diagnostic value in Autism Spectrum Disorder

Cooper J. Mellema, Alex Treacher, Kevin P. Nguyen +1

Currently, the diagnosis of Autism Spectrum Disorder (ASD) is dependent upon a subjective, time-consuming evaluation of behavioral tests by an expert clinician. Non-invasive functi…

eess.IV2019

Improved motion correction for functional MRI using an omnibus regression model

Vyom Raval, Kevin P. Nguyen, Albert Montillo

Head motion during functional Magnetic Resonance Imaging acquisition can significantly contaminate the neural signal and introduce spurious, distance-dependent changes in signal co…