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Keith Jamison

Showing results (1-10 of 31) with videos related to

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Communications Biology|December 17, 2022
Personalized visual encoding model construction with small dataZijin Gu, Keith Jamison, Mert Sabuncu, et al.
Neuroimage|June 21, 2019
Ensemble learning with 3D convolutional neural networks for functional connectome-based predictionMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, et al.
Arxiv|May 3, 2023
Modulating human brain responses via optimal natural image selection and synthetic image generationZijin Gu, Keith Jamison, Mert R Sabuncu, et al.
Frontiers in Neuroscience|December 30, 2021
Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple SclerosisCeren Tozlu, Keith Jamison, Susan A Gauthier, et al.
Communications Biology|October 23, 2023
Human brain responses are modulated when exposed to optimized natural images or synthetically generated imagesZijin Gu, Keith Jamison, Mert R Sabuncu, et al.
Neuron|July 28, 2011
Binocular rivalry requires visual attentionPeng Zhang, Keith Jamison, Stephen Engel, et al.
Network Neuroscience (Cambridge, Mass.)|July 3, 2023
Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activityCeren Tozlu, Sophie Card, Keith Jamison, et al.
Neuroimage. Clinical|October 3, 2021
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groupsCeren Tozlu, Keith Jamison, Zijin Gu, et al.
Magnetic Resonance Imaging|June 8, 2019
Machine learning in resting-state fMRI analysisMeenakshi Khosla, Keith Jamison, Gia H Ngo, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 1, 2026
Individualized structure-function coupling reveals behavioral signatures in the adolescent brainBahram Jafrasteh, Yangzhi Wang, Qingyu Hu, et al.
Pageof 4

Showing results (1-10 of 31) with videos related to

Sort By:
Pageof 4
Communications Biology|December 17, 2022
Personalized visual encoding model construction with small dataZijin Gu, Keith Jamison, Mert Sabuncu, et al.
Neuroimage|June 21, 2019
Ensemble learning with 3D convolutional neural networks for functional connectome-based predictionMeenakshi Khosla, Keith Jamison, Amy Kuceyeski, et al.
Arxiv|May 3, 2023
Modulating human brain responses via optimal natural image selection and synthetic image generationZijin Gu, Keith Jamison, Mert R Sabuncu, et al.
Frontiers in Neuroscience|December 30, 2021
Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple SclerosisCeren Tozlu, Keith Jamison, Susan A Gauthier, et al.
Communications Biology|October 23, 2023
Human brain responses are modulated when exposed to optimized natural images or synthetically generated imagesZijin Gu, Keith Jamison, Mert R Sabuncu, et al.
Neuron|July 28, 2011
Binocular rivalry requires visual attentionPeng Zhang, Keith Jamison, Stephen Engel, et al.
Network Neuroscience (Cambridge, Mass.)|July 3, 2023
Larger lesion volume in people with multiple sclerosis is associated with increased transition energies between brain states and decreased entropy of brain activityCeren Tozlu, Sophie Card, Keith Jamison, et al.
Neuroimage. Clinical|October 3, 2021
Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groupsCeren Tozlu, Keith Jamison, Zijin Gu, et al.
Magnetic Resonance Imaging|June 8, 2019
Machine learning in resting-state fMRI analysisMeenakshi Khosla, Keith Jamison, Gia H Ngo, et al.
Imaging Neuroscience (Cambridge, Mass.)|May 1, 2026
Individualized structure-function coupling reveals behavioral signatures in the adolescent brainBahram Jafrasteh, Yangzhi Wang, Qingyu Hu, et al.
Pageof 4