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Christiaan H B van Niftrik

Showing results (1-10 of 14) with videos related to

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Acta Neurochirurgica. Supplement|December 4, 2021
Foundations of Feature Selection in Clinical Prediction ModelingVictor E Staartjes, Julius M Kernbach, Vittorio Stumpo, et al.
Neurosurgical Review|September 30, 2020
Impact of additional resection on new ischemic lesions and their clinical relevance after intraoperative 3 Tesla MRI in neuro-oncological surgeryStefanos Voglis, Timothy Müller, Christiaan H B van Niftrik, et al.
Pituitary|June 4, 2020
Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgeryStefanos Voglis, Christiaan H B van Niftrik, Victor E Staartjes, et al.
Acta Neurochirurgica. Supplement|December 4, 2021
Machine Learning Algorithms in Neuroimaging: An OverviewVittorio Stumpo, Julius M Kernbach, Christiaan H B van Niftrik, et al.
Neurosurgical Focus|November 21, 2018
Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot studyVictor E Staartjes, Carlo Serra, Giovanni Muscas, et al.
Brain Communications|December 8, 2021
Delayed cerebral atrophy after cerebellar stroke: topographical relation and clinical impactChristiaan H B van Niftrik, Thomas F Visser, Martina Sebök, et al.
Stroke|March 9, 2021
Increased Ipsilateral Posterior Cerebral Artery P2-Segment Flow Velocity Predicts Hemodynamic ImpairmentChristiaan H B van Niftrik, Martina Sebök, Susanne Wegener, et al.
Neurosurgical Focus|November 1, 2021
Machine learning-augmented objective functional testing in the degenerative spine: quantifying impairment using patient-specific five-repetition sit-to-stand assessmentVictor E Staartjes, Anita M Klukowska, Moira Vieli, et al.
Neurology|September 7, 2018
BOLD cerebrovascular reactivity as a novel marker for crossed cerebellar diaschisisMartina Sebök, Christiaan H B van Niftrik, Marco Piccirelli, et al.
Acta Neurochirurgica|August 20, 2020
Machine learning in neurosurgery: a global surveyVictor E Staartjes, Vittorio Stumpo, Julius M Kernbach, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Acta Neurochirurgica. Supplement|December 4, 2021
Foundations of Feature Selection in Clinical Prediction ModelingVictor E Staartjes, Julius M Kernbach, Vittorio Stumpo, et al.
Neurosurgical Review|September 30, 2020
Impact of additional resection on new ischemic lesions and their clinical relevance after intraoperative 3 Tesla MRI in neuro-oncological surgeryStefanos Voglis, Timothy Müller, Christiaan H B van Niftrik, et al.
Pituitary|June 4, 2020
Feasibility of machine learning based predictive modelling of postoperative hyponatremia after pituitary surgeryStefanos Voglis, Christiaan H B van Niftrik, Victor E Staartjes, et al.
Acta Neurochirurgica. Supplement|December 4, 2021
Machine Learning Algorithms in Neuroimaging: An OverviewVittorio Stumpo, Julius M Kernbach, Christiaan H B van Niftrik, et al.
Neurosurgical Focus|November 21, 2018
Utility of deep neural networks in predicting gross-total resection after transsphenoidal surgery for pituitary adenoma: a pilot studyVictor E Staartjes, Carlo Serra, Giovanni Muscas, et al.
Brain Communications|December 8, 2021
Delayed cerebral atrophy after cerebellar stroke: topographical relation and clinical impactChristiaan H B van Niftrik, Thomas F Visser, Martina Sebök, et al.
Stroke|March 9, 2021
Increased Ipsilateral Posterior Cerebral Artery P2-Segment Flow Velocity Predicts Hemodynamic ImpairmentChristiaan H B van Niftrik, Martina Sebök, Susanne Wegener, et al.
Neurosurgical Focus|November 1, 2021
Machine learning-augmented objective functional testing in the degenerative spine: quantifying impairment using patient-specific five-repetition sit-to-stand assessmentVictor E Staartjes, Anita M Klukowska, Moira Vieli, et al.
Neurology|September 7, 2018
BOLD cerebrovascular reactivity as a novel marker for crossed cerebellar diaschisisMartina Sebök, Christiaan H B van Niftrik, Marco Piccirelli, et al.
Acta Neurochirurgica|August 20, 2020
Machine learning in neurosurgery: a global surveyVictor E Staartjes, Vittorio Stumpo, Julius M Kernbach, et al.
Pageof 2