Ponnada Narayana

Affiliations: 
The University of Texas Graduate School of Biomedical Sciences at Houston 
Area:
Neurobiology Biology
Google:
"Ponnada Narayana"
Mean distance: 35622
 
Cross-listing: Imaging Tree

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Publications

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Gabr RE, Lincoln JA, Kamali A, et al. (2020) Sensitive Detection of Infratentorial and Upper Cervical Cord Lesions in Multiple Sclerosis with Combined 3D FLAIR and T2-Weighted (FLAIR3) Imaging. Ajnr. American Journal of Neuroradiology
Zandiyeh P, Rao M, Gabr R, et al. (2020) Three-Dimensional UTE MR Imaging: Twelve-Month Analysis of ACL Autograft Remodeling Orthopaedic Journal of Sports Medicine. 8: 2325967120S0047
Narayana PA, Coronado I, Sujit SJ, et al. (2019) Are multi-contrast magnetic resonance images necessary for segmenting multiple sclerosis brains? A large cohort study based on deep learning. Magnetic Resonance Imaging. 65: 8-14
Papanna R, Mann LK, Won JH, et al. (2019) 60: Cryopreserved umbilical cord as a meningeal patch for in-utero spina bifida repair in sheep model American Journal of Obstetrics and Gynecology. 220
Mohamed ASR, Bahig H, Aristophanous M, et al. (2018) Prospective study of the feasibility and dosimetric advantages of MRI-guided dose adaptation for human papillomavirus positive oropharyngeal cancer patients compared with standard IMRT. Clinical and Translational Radiation Oncology. 11: 11-18
Papanna R, Mann LK, Won JH, et al. (2018) 486: Cryopreserved Human Umbilical Cord (HUC) patch for in-utero spina bifida repair preserves posterior column tracts and improve spinal cord function American Journal of Obstetrics and Gynecology. 218: S292
Papanna R, Mann LK, Won JH, et al. (2018) 86: Functional and anatomical integrity of spinal cord after in-utero spina bifida repair using cryopreserved human umbilical cord (HUC) Patch vs. Conventional repair (CR) in a Sheep Model American Journal of Obstetrics and Gynecology. 218: S63-S64
Narayana PA, Yu X, Hasan KM, et al. (2015) Multi-modal MRI of mild traumatic brain injury. Neuroimage. Clinical. 7: 87-97
Datta S, Zhu J, Riascos R, et al. (2015) Nimg-22Morphological Reconstruction Based Automated Segmentation Of Glioblastoma Tumor Volume On Multi-Modal Mri Images Neuro-Oncology. 17
Gabr RE, Pednekar A, Sun X, et al. (2014) Online brain tissue classification in multiple sclerosis using a scanner-integrated image analysis pipeline Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 3: 106-110
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