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Showing results (151-160 of 196) with videos related to

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Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learningSahil Nalawade, Gowtham K Murugesan, Maryam Vejdani-Jahromi, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|June 1, 2019
Three-Dimensional Lesion Phenotyping and Physiologic Characterization Inform Remyelination Ability in Multiple SclerosisDinesh K Sivakolundu, Madison R Hansen, Kathryn L West, et al.
Journal of Neuropathology and Experimental Neurology|December 1, 2021
Alterations in the RB Pathway With Inactivation of RB1 Characterize Glioblastomas With a Primitive Neuronal ComponentRati Chkheidze, Jack Raisanen, Jeffrey Gagan, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|December 12, 2022
Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestryDarin T Okuda, Thomas Stanley, Morgan McCreary, et al.
Acta Medica Portuguesa|February 18, 1999
[Microsurgical reconstruction of the head and neck: experience of 63 free flaps]H Costa, I Guimarães, C Cunha, et al.
Acta Medica Portuguesa|May 1, 1997
[A structural analysis of the entrance exams for specialist interns from 1994 to 1996]V Morgado, A G da Costa, A Correia, et al.
Magnetic Resonance in Medicine|April 24, 2026
Repeatability of Metabolic Imaging With Hyperpolarized Pyruvate: Back-to-Back Neuroimaging and Blood AnalysisJun Chen, Sung-Han Lin, Jessica Sudderth, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
AJNR. American Journal of Neuroradiology|March 5, 2021
MRI-Based Deep-Learning Method for Determining Glioma <i>MGMT</i> Promoter Methylation StatusC G B Yogananda, B R Shah, S S Nalawade, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Pageof 20

Showing results (151-160 of 196) with videos related to

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Pageof 20
Journal of Medical Imaging (Bellingham, Wash.)|December 12, 2019
Classification of brain tumor isocitrate dehydrogenase status using MRI and deep learningSahil Nalawade, Gowtham K Murugesan, Maryam Vejdani-Jahromi, et al.
Journal of Neuroimaging : Official Journal of the American Society of Neuroimaging|June 1, 2019
Three-Dimensional Lesion Phenotyping and Physiologic Characterization Inform Remyelination Ability in Multiple SclerosisDinesh K Sivakolundu, Madison R Hansen, Kathryn L West, et al.
Journal of Neuropathology and Experimental Neurology|December 1, 2021
Alterations in the RB Pathway With Inactivation of RB1 Characterize Glioblastomas With a Primitive Neuronal ComponentRati Chkheidze, Jack Raisanen, Jeffrey Gagan, et al.
Multiple Sclerosis (Houndmills, Basingstoke, England)|December 12, 2022
Selective vulnerability of brainstem and cervical spinal cord regions in people with non-progressive multiple sclerosis of Black or African American and European ancestryDarin T Okuda, Thomas Stanley, Morgan McCreary, et al.
Acta Medica Portuguesa|February 18, 1999
[Microsurgical reconstruction of the head and neck: experience of 63 free flaps]H Costa, I Guimarães, C Cunha, et al.
Acta Medica Portuguesa|May 1, 1997
[A structural analysis of the entrance exams for specialist interns from 1994 to 1996]V Morgado, A G da Costa, A Correia, et al.
Magnetic Resonance in Medicine|April 24, 2026
Repeatability of Metabolic Imaging With Hyperpolarized Pyruvate: Back-to-Back Neuroimaging and Blood AnalysisJun Chen, Sung-Han Lin, Jessica Sudderth, et al.
Neuro-Oncology Advances|July 25, 2020
A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
AJNR. American Journal of Neuroradiology|March 5, 2021
MRI-Based Deep-Learning Method for Determining Glioma <i>MGMT</i> Promoter Methylation StatusC G B Yogananda, B R Shah, S S Nalawade, et al.
Neuro-Oncology Advances|January 12, 2023
Corrigendum to: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomasChandan Ganesh Bangalore Yogananda, Bhavya R Shah, Frank F Yu, et al.
Pageof 20