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Kliniken der Stadt Köln
Advantages of anatomical visualisation with VR technology in patients with microvascular conflicts
Complications and VR-based identification of risk factors in patients with early autologous cranioplasties
Serial transbulbar sonography of optic disc swelling (papilledema) in comparison to intracranialpressure in patients with acute intracranial disease
Unsupervised machine learning identifies neurophysiological and anatomical correlates of the visual field deficits in patients with pituitary tumors
Which factors could play a role in recurrences of a chronic subdural haematoma?
Monosegmental unilateral cervical foraminal stenosis: The role of virtual reality technology in the evaluation of surgical strategy and outcome
Rescuing infected Deep Brain Stimulation therapies in severely affected patients
Machine learning prediction of shunt-dependence in patients with subarachnoid hemorrhage based on time-series data of cerebrospinal fluid markers
Machine learning applied to cardiac troponin dynamics may sufficiently predict cerebral vasospasm in patients with subarachnoid hemorrhage (aSAH)