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Eric Karl Oermann

Showing results (21-30 of 43) with videos related to

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Neurosurgery|December 8, 2025
Evaluating the Performance and Fragility of Large Language Models on the Self-Assessment for Neurological SurgeonsKrithik Vishwanath, Anton Alyakin, Mrigayu Ghosh, et al.
Radiology|January 31, 2018
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology ReportsJohn Zech, Margaret Pain, Joseph Titano, et al.
World Neurosurgery|July 12, 2020
Large Rises in Thoracolumbar Fusions by 2040: A Cause for Concern with an Increasingly Elderly Surgical PopulationSean N Neifert, Michael L Martini, Katie Hanss, et al.
Neurosurgery|December 5, 2024
CNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical ModelAnton Alyakin, David Kurland, Daniel Alexander Alber, et al.
Neurosurgery|May 31, 2023
Causes of Death in Patients With Brain MetastasesZane Schnurman, Elad Mashiach, Katherine E Link, et al.
Neurosurgery|August 23, 2023
A Century of Evolution in Spine Surgery Publications: A Bibliometric Analysis of the Field From 1900 to 2023David B Kurland, Alexander T M Cheung, Nora C Kim, et al.
World Neurosurgery|May 17, 2020
Increases in Subdural Hematoma with an Aging Population-the Future of American Cerebrovascular DiseaseSean N Neifert, Emily K Chaman, Trevor Hardigan, et al.
Scientific Reports|April 6, 2021
Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordingsMichael L Martini, Aly A Valliani, Claire Sun, et al.
Annals of Translational Medicine|July 19, 2019
Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imagingNathaniel C Swinburne, Javin Schefflein, Yu Sakai, et al.
Scientific Reports|February 10, 2016
Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous MalformationsEric Karl Oermann, Alex Rubinsteyn, Dale Ding, et al.
Pageof 5

Showing results (21-30 of 43) with videos related to

Sort By:
Pageof 5
Neurosurgery|December 8, 2025
Evaluating the Performance and Fragility of Large Language Models on the Self-Assessment for Neurological SurgeonsKrithik Vishwanath, Anton Alyakin, Mrigayu Ghosh, et al.
Radiology|January 31, 2018
Natural Language-based Machine Learning Models for the Annotation of Clinical Radiology ReportsJohn Zech, Margaret Pain, Joseph Titano, et al.
World Neurosurgery|July 12, 2020
Large Rises in Thoracolumbar Fusions by 2040: A Cause for Concern with an Increasingly Elderly Surgical PopulationSean N Neifert, Michael L Martini, Katie Hanss, et al.
Neurosurgery|December 5, 2024
CNS-CLIP: Transforming a Neurosurgical Journal Into a Multimodal Medical ModelAnton Alyakin, David Kurland, Daniel Alexander Alber, et al.
Neurosurgery|May 31, 2023
Causes of Death in Patients With Brain MetastasesZane Schnurman, Elad Mashiach, Katherine E Link, et al.
Neurosurgery|August 23, 2023
A Century of Evolution in Spine Surgery Publications: A Bibliometric Analysis of the Field From 1900 to 2023David B Kurland, Alexander T M Cheung, Nora C Kim, et al.
World Neurosurgery|May 17, 2020
Increases in Subdural Hematoma with an Aging Population-the Future of American Cerebrovascular DiseaseSean N Neifert, Emily K Chaman, Trevor Hardigan, et al.
Scientific Reports|April 6, 2021
Deep anomaly detection of seizures with paired stereoelectroencephalography and video recordingsMichael L Martini, Aly A Valliani, Claire Sun, et al.
Annals of Translational Medicine|July 19, 2019
Machine learning for semi-automated classification of glioblastoma, brain metastasis and central nervous system lymphoma using magnetic resonance advanced imagingNathaniel C Swinburne, Javin Schefflein, Yu Sakai, et al.
Scientific Reports|February 10, 2016
Using a Machine Learning Approach to Predict Outcomes after Radiosurgery for Cerebral Arteriovenous MalformationsEric Karl Oermann, Alex Rubinsteyn, Dale Ding, et al.
Pageof 5