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Patrick H Luckett

Showing results (11-20 of 23) with videos related to

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Journal of Neuro-Oncology|September 5, 2023
Predicting survival in glioblastoma with multimodal neuroimaging and machine learningPatrick H Luckett, Michael Olufawo, Bidhan Lamichhane, et al.
Journal of Neuroscience Methods|November 19, 2023
Optimal approaches to analyzing functional MRI data in glioma patientsKi Yun Park, Joshua S Shimony, Satrajit Chakrabarty, et al.
Neuro-Oncology Advances|May 8, 2023
Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survivalBidhan Lamichhane, Patrick H Luckett, Donna Dierker, et al.
Journal of Neuro-Oncology|May 24, 2024
Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learningPatrick H Luckett, Michael O Olufawo, Ki Yun Park, et al.
Neuro-Oncology Advances|July 24, 2025
Sociodemographic factors predict outcomes and reveal spatial tumor patterns in glioblastomaPatrick H Luckett, Michael Olufawo, Noah Naddaff-Slocum, et al.
JAMA Oncology|September 1, 2022
Assessment of Pretreatment and Posttreatment Evolution of Neurofilament Light Chain Levels in Patients Who Develop Immune Effector Cell-Associated Neurotoxicity SyndromeOmar H Butt, Alice Y Zhou, Paolo F Caimi, et al.
Neuroimage|April 22, 2022
Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer diseasePeter R Millar, Patrick H Luckett, Brian A Gordon, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|March 6, 2023
Predicting continuous amyloid PET values with CSF and plasma Aβ42/Aβ40Julie K Wisch, Brian A Gordon, Anna H Boerwinkle, et al.
Elife|January 6, 2023
Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational studyPeter R Millar, Brian A Gordon, Patrick H Luckett, et al.
Brain Communications|March 20, 2024
Comparison of cerebrospinal fluid, plasma and neuroimaging biomarker utility in Alzheimer's diseaseKarin L Meeker, Patrick H Luckett, Nicolas R Barthélemy, et al.
Pageof 3

Showing results (11-20 of 23) with videos related to

Sort By:
Pageof 3
Journal of Neuro-Oncology|September 5, 2023
Predicting survival in glioblastoma with multimodal neuroimaging and machine learningPatrick H Luckett, Michael Olufawo, Bidhan Lamichhane, et al.
Journal of Neuroscience Methods|November 19, 2023
Optimal approaches to analyzing functional MRI data in glioma patientsKi Yun Park, Joshua S Shimony, Satrajit Chakrabarty, et al.
Neuro-Oncology Advances|May 8, 2023
Structural gray matter alterations in glioblastoma and high-grade glioma-A potential biomarker of survivalBidhan Lamichhane, Patrick H Luckett, Donna Dierker, et al.
Journal of Neuro-Oncology|May 24, 2024
Predicting post-surgical functional status in high-grade glioma with resting state fMRI and machine learningPatrick H Luckett, Michael O Olufawo, Ki Yun Park, et al.
Neuro-Oncology Advances|July 24, 2025
Sociodemographic factors predict outcomes and reveal spatial tumor patterns in glioblastomaPatrick H Luckett, Michael Olufawo, Noah Naddaff-Slocum, et al.
JAMA Oncology|September 1, 2022
Assessment of Pretreatment and Posttreatment Evolution of Neurofilament Light Chain Levels in Patients Who Develop Immune Effector Cell-Associated Neurotoxicity SyndromeOmar H Butt, Alice Y Zhou, Paolo F Caimi, et al.
Neuroimage|April 22, 2022
Predicting brain age from functional connectivity in symptomatic and preclinical Alzheimer diseasePeter R Millar, Patrick H Luckett, Brian A Gordon, et al.
Alzheimer'S & Dementia (Amsterdam, Netherlands)|March 6, 2023
Predicting continuous amyloid PET values with CSF and plasma Aβ42/Aβ40Julie K Wisch, Brian A Gordon, Anna H Boerwinkle, et al.
Elife|January 6, 2023
Multimodal brain age estimates relate to Alzheimer disease biomarkers and cognition in early stages: a cross-sectional observational studyPeter R Millar, Brian A Gordon, Patrick H Luckett, et al.
Brain Communications|March 20, 2024
Comparison of cerebrospinal fluid, plasma and neuroimaging biomarker utility in Alzheimer's diseaseKarin L Meeker, Patrick H Luckett, Nicolas R Barthélemy, et al.
Pageof 3