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Daniel P. Sexton
Daniel P. Sexton
Duke University Department of Neurosurgery
Verified email at duke.edu
Title
Cited by
Cited by
Year
Outcomes of subdural grid electrode monitoring in the stereoelectroencephalography era
JP Mullin, D Sexton, S Al-Omar, W Bingaman, J Gonzalez-Martinez
World Neurosurgery 89, 255-258, 2016
562016
Prediction of depression and anxiety via patient-assessed tremor severity, not physician-reported motor symptom severity, in patients with Parkinson’s disease or essential …
RL Achey, E Yamamoto, D Sexton, C Hammer, BS Lee, RS Butler, ...
Journal of Neurosurgery 129 (6), 1562-1571, 2018
102018
Characterizing brain connectivity from human electrocorticography recordings with unobserved inputs during epileptic seizures
A Das, D Sexton, C Lainscsek, SS Cash, TJ Sejnowski
Neural computation 31 (7), 1271-1326, 2019
82019
Barrow innovation center case series: early clinical experience with novel surgical instrument used to prevent intraoperative spinal cord injuries
MA Bohl, JF Baranoski, D Sexton, P Nakaji, LA Snyder, UK Kakarla, ...
World Neurosurgery 120, e573-e579, 2018
62018
Predicting posttraumatic epilepsy using admission electroencephalography after severe traumatic brain injury
M Pease, J Elmer, AZ Shahabadi, AN Mallela, JF Ruiz‐Rodriguez, ...
Epilepsia 64 (7), 1842-1852, 2023
52023
Preclinical foundation for normothermic machine liver preservation
D Sexton, S Medearis, Q Liu, G Iuppa, C Quintini
Current Transplantation Reports 2, 68-73, 2015
22015
Normothermic machine perfusion (NMP) on discarded human livers: The first model in the US
Q Liu, A Nassar, G Iuppa, D Urcuyo-Llanes, D Sexton, T Okamoto, T Uso, ...
American Transplant Congress, 2015
12015
273 A Direct Domparative Analysis of Pediatric Traumatic Brain Injury Presentation and Outcomes in the United States and Uganda
A Seas, A Yoon, SM Adil, N Satyadev, P Warman, J Najjuma, M Punchak, ...
Neurosurgery 70 (Supplement_1), 76-77, 2024
2024
381 Glioma Three-Dimensional Shape Predicts Underlying Genetic Mutations
P Warman, SM Adil, A Seas, D Sexton, E Calabrese, NP Lad, B Kolls, ...
Neurosurgery 70 (Supplement_1), 115, 2024
2024
759 Revisiting the ETV Success Score Using Machine Learning Can We Do Better?
SM Adil, A Seas, D Sexton, P Warman, L Carter, B Kolls, A Fuller, NP Lad, ...
Neurosurgery 70 (Supplement_1), 167, 2024
2024
Blink Reflex and Facial Nerve Outcomes: Using a Machine Learning Tool
J Abdelgadir, H Hockenberry, T Zachem, S Adil, D Sexton, H Johnson, ...
Journal of Neurological Surgery Part B: Skull Base 85 (S 01), S286, 2024
2024
3D MRI-Based Topological Analysis with Machine Learning to Predict Skull Base Meningioma Pathologic Grade
SM Adil, P Warman, A Seas, TJ Zachem, J Abdelgadir, D Sexton, B Wissel, ...
Journal of Neurological Surgery Part B: Skull Base 85 (S 01), S160, 2024
2024
Implementing Machine Learning to Detect Changes in Facial Nerve EMG During Vestibular Schwannoma Resection
J Abdelgadir, D Sexton, H Hockenberry, T Zachem, S Adil, H Johnson, ...
Journal of Neurological Surgery Part B: Skull Base 85 (S 01), S086, 2024
2024
Pathologic Grading of Meningioma Tissue Via Machine Learning and Noncontact Fluorescence Spectroscopy
SM Adil, TJ Zachem, JE Sperber, A Seas, P Warman, B Wissel, ...
Journal of Neurological Surgery Part B: Skull Base 85 (S 01), S077, 2024
2024
337 Quantitative Analysis of Admission Electroencephalography Predicts Post-Traumatic Epilepsy After Severe Traumatic Brain Injury
M Pease, J Elmer, A Mallela, JFR Rodriguez, D Sexton, N Barot, ...
Neurosurgery 69 (Supplement_1), 52, 2023
2023
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