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Nicholas Wymbs

A Convolutional Network Adaptation for Cortical Classification During Mobile Brain Imaging

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Oct 11, 2023
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A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes

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May 30, 2021
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Deep sr-DDL: Deep Structurally Regularized Dynamic Dictionary Learning to Integrate Multimodal and Dynamic Functional Connectomics data for Multidimensional Clinical Characterizations

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Aug 27, 2020
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A Joint Network Optimization Framework to Predict Clinical Severity from Resting State Functional MRI Data

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Aug 27, 2020
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A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism

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Jul 03, 2020
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Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data

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Jul 03, 2020
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A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces

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Jul 03, 2020
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