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Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learning.

• Authors : Luckett, Patrick H.; Olufawo, Michael O.; Park, Ki Yun

• Source: Journal of Neuro-Oncology; Aug2024, Vol. 169 Issue 1, p175-185, 11p

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Predicting survival in glioblastoma with multimodal neuroimaging and machine learning.

• Authors : Luckett, Patrick H.; Olufawo, Michael; Lamichhane, Bidhan

• Source: Journal of Neuro-Oncology; Sep2023, Vol. 164 Issue 2, p309-320, 12p

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Mapping language function with task-based vs. resting-state functional MRI

• Authors : Park, Ki Yun; Lee, John J.; Dierker, Donna

• Source: PLoS ONE. July 31, 2020, Vol. 15 Issue 7, e0236423

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Structural gray matter alterations in glioblastoma and high-grade glioma—A potential biomarker of survival.

• Authors : Lamichhane, Bidhan; Luckett, Patrick H; Dierker, Donna

• Source: Neuro-Oncology Advances; 2023, Vol. 5 Issue 1, p1-10, 10p

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Canonical genetic signatures of the adult human brain.

• Authors : Hawrylycz, Michael; Miller, Jeremy A.; Menon, Vilas

• Source: Nature Neuroscience. December 1, 2015, p1832, 15 p.

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Agricola

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Agricola

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Functional connectivity within glioblastoma impacts overall survival.

• Authors : Daniel, Andy G S; Park, Ki Yun; Roland, Jarod L

• Source: Neuro-Oncology; Mar2021, Vol. 23 Issue 3, p412-421, 10p

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Mapping of the Language Network With Deep Learning.

• Authors : Luckett, Patrick; Lee, John J.; Park, Ki Yun

Subjects: CONVOLUTIONAL neural networks; DEEP learning; SIGNAL convolution

• Source: Frontiers in Neurology; 8/5/2020, pN.PAG-N.PAG, 12p

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Individual-specific functional connectivity of the amygdala: A substrate for precision psychiatry.

• Authors : Sylvester, Chad M.; Qiongru Yu; Srivastava, A. Benjamin

Subjects: CEREBRAL cortex; AMYGDALOID body; PSYCHIATRY

• Source: Proceedings of the National Academy of Sciences of the United States of America; 2/18/2020, Vol. 117 Issue 7, p3808-3818, 11p

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