Cavernous Malformations and Artificial Intelligence
- 1 October 2022
- journal article
- research article
- Published by Elsevier BV in Neurosurgery Clinics of North America
- Vol. 33 (4), 461-467
- https://doi.org/10.1016/j.nec.2022.05.007
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- Augmented reality in neurosurgery: a systematic reviewNeurosurgical Review, 2016
- Probabilistic machine learning and artificial intelligenceNature, 2015
- Brainstem Cavernous MalformationsNeurosurgery, 2015
- Channel selection for automatic seizure detectionClinical Neurophysiology, 2012
- Anatomical triangles defining surgical routes to posterior inferior cerebellar artery aneurysmsJournal of Neurosurgery, 2011
- Machine learning study of several classifiers trained with texture analysis features to differentiate benign from malignant soft‐tissue tumors in T1‐MRI imagesJournal of Magnetic Resonance Imaging, 2010
- Acousticofacial–Glossopharyngeal Triangle: An Anatomic Model for Rapid Surgical OrientationJournal of Neurological Surgery Part B: Skull Base, 2009
- Differentiation of Common Large Sellar-Suprasellar Masses: Effect of Artificial Neural Network on Radiologists' Diagnosis PerformanceAcademic Radiology, 2009
- The Carotid-oculomotor Window in Exposure of Upper Basilar Artery Aneurysms: A Cadaveric Morphometric StudyNeurosurgery, 2004
- A modified extended middle cranial fossa approach for acoustic tumorsEuropean Archives of Oto-Rhino-Laryngology, 1977