Amy Kuceyeski

Orcid: 0000-0002-5050-8342

According to our database1, Amy Kuceyeski authored at least 26 papers between 2008 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging.
NeuroImage, July, 2023

Computational modelling in disorders of consciousness: Closing the gap towards personalised models for restoring consciousness.
NeuroImage, 2023

Decoding natural image stimuli from fMRI data with a surface-based convolutional network.
Proceedings of the Medical Imaging with Deep Learning, 2023

2022
Predicting individual task contrasts from resting-state functional connectivity using a surface-based convolutional network.
NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.
NeuroImage, 2022

Personalized visual encoding model construction with small data.
CoRR, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Estimation of Multiple Sclerosis lesion age on magnetic resonance imaging.
NeuroImage, 2021

Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection.
NeuroImage, 2021

NeuroGen: activation optimized image synthesis for discovery neuroscience.
CoRR, 2021

2020
Neural encoding with visual attention.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

From Connectomic to Task-Evoked Fingerprints: Individualized Prediction of Task Contrasts from Resting-State Functional Connectivity.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

A Shared Neural Encoding Model for the Prediction of Subject-Specific fMRI Response.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

2019
Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction.
NeuroImage, 2019

NeuroMeasure: A Software Package for Quantification of Cortical Motor Maps Using Frameless Stereotaxic Transcranial Magnetic Stimulation.
Frontiers Neuroinformatics, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018
Machine learning in resting-state fMRI analysis.
CoRR, 2018

Ensemble learning with 3D convolutional neural networks for connectome-based prediction.
CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.
Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2015
A Mathematical Simulation to Assess Variability in Lung Nodule Size Measurement Associated With Nodule-Slice Position.
J. Digit. Imaging, 2015

2014
Brainography: An Atlas-Independent Surface and Network Rendering Tool for Neural Connectivity Visualization.
Neuroinformatics, 2014

Reduced glucose uptake and Aβ in brain regions with hyperintensities in connected white matter.
NeuroImage, 2014

2013
The Network Modification (NeMo) Tool: Elucidating the Effect of White Matter Integrity Changes on Cortical and Subcortical Structural Connectivity.
Brain Connect., 2013

2012
Linking white matter integrity loss to associated cortical regions using structural connectivity information in Alzheimer's disease and fronto-temporal dementia: The Loss in Connectivity (LoCo) score.
NeuroImage, 2012

2011
The generation and validation of white matter connectivity importance maps.
NeuroImage, 2011

2008
Sampling-Based Analysis of a Spatially Distributed Model for Liver Metabolism at Steady State.
Multiscale Model. Simul., 2008


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