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Shivaram Avula

Showing results (51-60 of 76) with videos related to

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Pediatric Radiology|March 15, 2022
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter studyStephanie B Withey, Lesley MacPherson, Adam Oates, et al.
Acta Neurochirurgica|April 3, 2025
Tumour volume as a predictor of postoperative speech impairment in children undergoing resection of posterior fossa tumours: a prospective, multicentre studyAske Foldbjerg Laustsen, Shivaram Avula, Jonathan Grønbæk, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|December 20, 2013
Neurological manifestations of influenza infection in children and adults: results of a National British Surveillance StudyAnu Goenka, Benedict D Michael, Elizabeth Ledger, et al.
AJNR. American Journal of Neuroradiology|May 15, 2026
Observer agreement for a novel visual rating scale of vermian atrophy in childhood ataxia telangiectasiaRobert A Dineen, Stefan Pszczolkowski, Jenny Wright, et al.
British Journal of Neurosurgery|February 14, 2018
Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndromeJo-Fen Liu, Robert A Dineen, Shivaram Avula, et al.
Cancers|January 11, 2022
Relapsed Medulloblastoma in Pre-Irradiated Patients: Current Practice for Diagnostics and TreatmentRebecca M Hill, Sabine L A Plasschaert, Beate Timmermann, et al.
The British Journal of Radiology|February 21, 2023
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI dataStephen J Powell, Stephanie B Withey, Yu Sun, et al.
Scientific Reports|February 5, 2021
Classification of paediatric brain tumours by diffusion weighted imaging and machine learningJan Novak, Niloufar Zarinabad, Heather Rose, et al.
Scientific Reports|September 24, 2021
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumorsJames T Grist, Stephanie Withey, Christopher Bennett, et al.
Magnetic Resonance in Medicine|August 9, 2017
Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T <sup>1</sup> H-MR spectroscopy-A multi-center studyNiloufar Zarinabad, Laurence J Abernethy, Shivaram Avula, et al.
Pageof 8

Showing results (51-60 of 76) with videos related to

Sort By:
Pageof 8
Pediatric Radiology|March 15, 2022
Dynamic susceptibility-contrast magnetic resonance imaging with contrast agent leakage correction aids in predicting grade in pediatric brain tumours: a multicenter studyStephanie B Withey, Lesley MacPherson, Adam Oates, et al.
Acta Neurochirurgica|April 3, 2025
Tumour volume as a predictor of postoperative speech impairment in children undergoing resection of posterior fossa tumours: a prospective, multicentre studyAske Foldbjerg Laustsen, Shivaram Avula, Jonathan Grønbæk, et al.
Clinical Infectious Diseases : an Official Publication of the Infectious Diseases Society of America|December 20, 2013
Neurological manifestations of influenza infection in children and adults: results of a National British Surveillance StudyAnu Goenka, Benedict D Michael, Elizabeth Ledger, et al.
AJNR. American Journal of Neuroradiology|May 15, 2026
Observer agreement for a novel visual rating scale of vermian atrophy in childhood ataxia telangiectasiaRobert A Dineen, Stefan Pszczolkowski, Jenny Wright, et al.
British Journal of Neurosurgery|February 14, 2018
Development of a pre-operative scoring system for predicting risk of post-operative paediatric cerebellar mutism syndromeJo-Fen Liu, Robert A Dineen, Shivaram Avula, et al.
Cancers|January 11, 2022
Relapsed Medulloblastoma in Pre-Irradiated Patients: Current Practice for Diagnostics and TreatmentRebecca M Hill, Sabine L A Plasschaert, Beate Timmermann, et al.
The British Journal of Radiology|February 21, 2023
Applying machine learning classifiers to automate quality assessment of paediatric dynamic susceptibility contrast (DSC-) MRI dataStephen J Powell, Stephanie B Withey, Yu Sun, et al.
Scientific Reports|February 5, 2021
Classification of paediatric brain tumours by diffusion weighted imaging and machine learningJan Novak, Niloufar Zarinabad, Heather Rose, et al.
Scientific Reports|September 24, 2021
Combining multi-site magnetic resonance imaging with machine learning predicts survival in pediatric brain tumorsJames T Grist, Stephanie Withey, Christopher Bennett, et al.
Magnetic Resonance in Medicine|August 9, 2017
Application of pattern recognition techniques for classification of pediatric brain tumors by in vivo 3T <sup>1</sup> H-MR spectroscopy-A multi-center studyNiloufar Zarinabad, Laurence J Abernethy, Shivaram Avula, et al.
Pageof 8