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Publications

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Filters: Author is Luckett, Patrick H  [Clear All Filters]
2024
Trevino G, Lee JJ, Shimony JS, Luckett PH, Leuthardt EC. Complexity organization of resting-state functional-MRI networks. Hum Brain Mapp. 2024;45(12):e26809.
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Park KYun, Shimony JS, Chakrabarty S, Tanenbaum AB, Hacker CD, Donovan KM, et al.. Optimal approaches to analyzing functional MRI data in glioma patients. J Neurosci Methods. 2024;402:110011.
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Luckett PH, Olufawo MO, Park KYun, Lamichhane B, Dierker D, Verastegui GTrevino, et al.. Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning. J Neurooncol. 2024;169(1):175-185.
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2023
Luckett PH, Park KYun, Lee JJ, Lenze EJ, Wetherell JLoebach, Eyler LT, et al.. Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning. J Neurosurg. 2023;:1-12.
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Luckett PH, Lee JJ, Park KYun, Raut RV, Meeker KL, Gordon EM, et al.. Resting state network mapping in individuals using deep learning. Front Neurol. 2023;13:1055437.
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