Nicholas F. Wymbs

According to our database1, Nicholas F. Wymbs authored at least 18 papers between 2012 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2021
Deep sr-DDL: Deep structurally regularized dynamic dictionary learning to integrate multimodal and dynamic functional connectomics data for multidimensional clinical characterizations.
NeuroImage, 2021

A Matrix Autoencoder Framework to Align the Functional and Structural Connectivity Manifolds as Guided by Behavioral Phenotypes.
CoRR, 2021

2020
A joint network optimization framework to predict clinical severity from resting state functional MRI data.
NeuroImage, 2020

A Deep-Generative Hybrid Model to Integrate Multimodal and Dynamic Connectivity for Predicting Spectrum-Level Deficits in Autism.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
A Minimum Free Energy Model of Motor Learning.
Neural Comput., 2019

Integrating Neural Networks and Dictionary Learning for Multidimensional Clinical Characterizations from Functional Connectomics Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Coupled Manifold Optimization Framework to Jointly Model the Functional Connectomics and Behavioral Data Spaces.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
Brain state flexibility accompanies motor-skill acquisition.
NeuroImage, 2018

Predicting future learning from baseline network architecture.
NeuroImage, 2018

Beyond modularity: Fine-scale mechanisms and rules for brain network reconfiguration.
NeuroImage, 2018

A Generative-Discriminative Basis Learning Framework to Predict Clinical Severity from Resting State Functional MRI Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
A Unified Bayesian Approach to Extract Network-Based Functional Differences from a Heterogeneous Patient Cohort.
Proceedings of the Connectomics in NeuroImaging - First International Workshop, 2017

Brain signal analytics from graph signal processing perspective.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Graph Frequency Analysis of Brain Signals.
IEEE J. Sel. Top. Signal Process., 2016

Reward gain model describes cortical use-dependent plasticity.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2013
Task-Based Core-Periphery Organization of Human Brain Dynamics.
PLoS Comput. Biol., 2013

Dynamic network centrality summarizes learning in the human brain.
J. Complex Networks, 2013

2012
Robust Detection of Dynamic Community Structure in Networks
CoRR, 2012


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