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The Lancet. Neurology
|
September 25, 2003
Triple-H therapy in the management of aneurysmal subarachnoid haemorrhage
Jon Sen, Antonio Belli, Helen Albon, et al.
British Journal of Neurosurgery
|
February 11, 2018
The impact of route of diagnosis on survival in patients with glioblastoma
Michael Kosmin, Francesca Solda', Elena Wilson, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
August 20, 2010
Cerebrospinal fluid ferritin level, a sensitive diagnostic test in late-presenting subarachnoid hemorrhage
Axel Petzold, Viki Worthington, Ian Appleby, et al.
Skull Base : Official Journal of North American Skull Base Society ... [Et Al.]
|
May 2, 2012
Management of large and giant vestibular schwannomas
Irumee Pai, James Bowman, Nick Thomas, et al.
Neurosurgical Review
|
June 30, 2021
Surgery for cerebral cavernous malformations: a systematic review and meta-analysis
Lauren Harris, Michiel H F Poorthuis, Patrick Grover, et al.
The Lancet. Neurology
|
February 3, 2016
Top ten research priorities for brain and spine cavernous malformations
Rustam Al-Shahi Salman, Neil Kitchen, Jennifer Thomson, et al.
Journal of Neurotrauma
|
July 27, 2006
Early identification of secondary brain damage in subarachnoid hemorrhage: a role for glial fibrillary acidic protein
Axel Petzold, Geoffrey Keir, Mary Kerr, et al.
Radiation Oncology (London, England)
|
June 29, 2013
Multi-disciplinary management for patients with oligometastases to the brain: results of a 5 year cohort study
Jillian Maclean, Naomi Fersht, Mausam Singhera, et al.
Clinical Neurology and Neurosurgery
|
January 6, 2023
Cerebral cavernous malformation: Management, outcomes, and surveillance strategies - A single centre retrospective cohort study
Ciaran S Hill, Anouk Borg, Hugo Layard Horsfall, et al.
Scientific Reports
|
March 22, 2020
Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network
Adam P Marcus, Hani J Marcus, Sophie J Camp, et al.
Page
of 9
Search research articles
Search
Showing results (21-30 of 83) with videos related to
Sort By:
Page
of 9
The Lancet. Neurology
|
September 25, 2003
Triple-H therapy in the management of aneurysmal subarachnoid haemorrhage
Jon Sen, Antonio Belli, Helen Albon, et al.
British Journal of Neurosurgery
|
February 11, 2018
The impact of route of diagnosis on survival in patients with glioblastoma
Michael Kosmin, Francesca Solda', Elena Wilson, et al.
Journal of Stroke and Cerebrovascular Diseases : the Official Journal of National Stroke Association
|
August 20, 2010
Cerebrospinal fluid ferritin level, a sensitive diagnostic test in late-presenting subarachnoid hemorrhage
Axel Petzold, Viki Worthington, Ian Appleby, et al.
Skull Base : Official Journal of North American Skull Base Society ... [Et Al.]
|
May 2, 2012
Management of large and giant vestibular schwannomas
Irumee Pai, James Bowman, Nick Thomas, et al.
Neurosurgical Review
|
June 30, 2021
Surgery for cerebral cavernous malformations: a systematic review and meta-analysis
Lauren Harris, Michiel H F Poorthuis, Patrick Grover, et al.
The Lancet. Neurology
|
February 3, 2016
Top ten research priorities for brain and spine cavernous malformations
Rustam Al-Shahi Salman, Neil Kitchen, Jennifer Thomson, et al.
Journal of Neurotrauma
|
July 27, 2006
Early identification of secondary brain damage in subarachnoid hemorrhage: a role for glial fibrillary acidic protein
Axel Petzold, Geoffrey Keir, Mary Kerr, et al.
Radiation Oncology (London, England)
|
June 29, 2013
Multi-disciplinary management for patients with oligometastases to the brain: results of a 5 year cohort study
Jillian Maclean, Naomi Fersht, Mausam Singhera, et al.
Clinical Neurology and Neurosurgery
|
January 6, 2023
Cerebral cavernous malformation: Management, outcomes, and surveillance strategies - A single centre retrospective cohort study
Ciaran S Hill, Anouk Borg, Hugo Layard Horsfall, et al.
Scientific Reports
|
March 22, 2020
Improved Prediction of Surgical Resectability in Patients with Glioblastoma using an Artificial Neural Network
Adam P Marcus, Hani J Marcus, Sophie J Camp, et al.
Page
of 9