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Jason Talbott

Showing results (21-30 of 31) with videos related to

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Radiology. Artificial Intelligence|January 3, 2024
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection ChallengeGhee Rye Lee, Adam E Flanders, Tyler Richards, et al.
Journal of Addiction Medicine|August 1, 2025
Neurological Injury and Outcomes in Fentanyl-related Cardiac ArrestMatheus Otero, Jonathan Shih, Bo Zhou, et al.
World Neurosurgery|August 28, 2016
Higher Mean Arterial Pressure Values Correlate with Neurologic Improvement in Patients with Initially Complete Spinal Cord InjuriesJoshua Stephen Catapano, Gregory William John Hawryluk, William Whetstone, et al.
Neurocritical Care|March 14, 2025
Neurological Injury in Comatose Patients Following Substance-Use-Related Out-of-Hospital Cardiac Arrest: A Retrospective Cohort Study in a Safety Net HospitalJonathan J Shih, Matheus Otero, Shital Gandhi, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scansEnamundram Naga Karthik, Julian McGinnis, Ricarda Wurm, et al.
Radiology. Artificial Intelligence|September 19, 2024
Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma CenterZixuan Hu, Markand Patel, Robyn L Ball, et al.
Radiology. Artificial Intelligence|October 5, 2023
The RSNA Cervical Spine Fracture CT DatasetHui Ming Lin, Errol Colak, Tyler Richards, et al.
Brain : a Journal of Neurology|June 24, 2020
Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disabilityAnne Kerbrat, Charley Gros, Atef Badji, et al.
Brain : a Journal of Neurology|February 5, 2019
Spatial distribution of multiple sclerosis lesions in the cervical spinal cordDominique Eden, Charley Gros, Atef Badji, et al.
Neuroimage|October 10, 2018
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networksCharley Gros, Benjamin De Leener, Atef Badji, et al.
Pageof 4

Showing results (21-30 of 31) with videos related to

Sort By:
Pageof 4
Radiology. Artificial Intelligence|January 3, 2024
Performance of the Winning Algorithms of the RSNA 2022 Cervical Spine Fracture Detection ChallengeGhee Rye Lee, Adam E Flanders, Tyler Richards, et al.
Journal of Addiction Medicine|August 1, 2025
Neurological Injury and Outcomes in Fentanyl-related Cardiac ArrestMatheus Otero, Jonathan Shih, Bo Zhou, et al.
World Neurosurgery|August 28, 2016
Higher Mean Arterial Pressure Values Correlate with Neurologic Improvement in Patients with Initially Complete Spinal Cord InjuriesJoshua Stephen Catapano, Gregory William John Hawryluk, William Whetstone, et al.
Neurocritical Care|March 14, 2025
Neurological Injury in Comatose Patients Following Substance-Use-Related Out-of-Hospital Cardiac Arrest: A Retrospective Cohort Study in a Safety Net HospitalJonathan J Shih, Matheus Otero, Shital Gandhi, et al.
Imaging Neuroscience (Cambridge, Mass.)|August 13, 2025
Automatic segmentation of spinal cord lesions in MS: A robust tool for axial T2-weighted MRI scansEnamundram Naga Karthik, Julian McGinnis, Ricarda Wurm, et al.
Radiology. Artificial Intelligence|September 19, 2024
Assessing the Performance of Models from the 2022 RSNA Cervical Spine Fracture Detection Competition at a Level I Trauma CenterZixuan Hu, Markand Patel, Robyn L Ball, et al.
Radiology. Artificial Intelligence|October 5, 2023
The RSNA Cervical Spine Fracture CT DatasetHui Ming Lin, Errol Colak, Tyler Richards, et al.
Brain : a Journal of Neurology|June 24, 2020
Multiple sclerosis lesions in motor tracts from brain to cervical cord: spatial distribution and correlation with disabilityAnne Kerbrat, Charley Gros, Atef Badji, et al.
Brain : a Journal of Neurology|February 5, 2019
Spatial distribution of multiple sclerosis lesions in the cervical spinal cordDominique Eden, Charley Gros, Atef Badji, et al.
Neuroimage|October 10, 2018
Automatic segmentation of the spinal cord and intramedullary multiple sclerosis lesions with convolutional neural networksCharley Gros, Benjamin De Leener, Atef Badji, et al.
Pageof 4