Keith Jamison

Orcid: 0000-0001-7139-6661

According to our database¹, Keith Jamison authored at least 20 papers between 2017 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2025

Beyond Grid-Locked Voxels: Neural Response Functions for Continuous Brain Encoding.

[BibT_eX]

[DOI]

CoRR, October, 2025

2023

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

[BibT_eX]

[DOI]

Kristen Dams-O'Connor

NeuroImage, July, 2023

Decoding natural image stimuli from fMRI data with a surface-based convolutional network.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2022

NeuroGen: Activation optimized image synthesis for discovery neuroscience.

[BibT_eX]

[DOI]

NeuroImage, 2022

Personalized visual encoding model construction with small data.

[BibT_eX]

[DOI]

CoRR, 2022

Characterizing the Ventral Visual Stream with Response-Optimized Neural Encoding Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

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

[BibT_eX]

[DOI]

NeuroImage, 2021

NeuroGen: activation optimized image synthesis for discovery neuroscience.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Neural encoding with visual attention.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

NeuroImage, 2019

A critical assessment of data quality and venous effects in sub-millimeter fMRI.

[BibT_eX]

[DOI]

NeuroImage, 2019

Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

2018

Machine learning in resting-state fMRI analysis.

[BibT_eX]

[DOI]

CoRR, 2018

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

[BibT_eX]

[DOI]

CoRR, 2018

3D Convolutional Neural Networks for Classification of Functional Connectomes.

[BibT_eX]

[DOI]

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018

2017

Tradeoffs in pushing the spatial resolution of fMRI for the 7T Human Connectome Project.

[BibT_eX]

[DOI]

NeuroImage, 2017

Deactivation in the posterior mid-cingulate cortex reflects perceptual transitions during binocular rivalry: Evidence from simultaneous EEG-fMRI.

[BibT_eX]

[DOI]

NeuroImage, 2017

Keith Jamison

Timeline

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