Neurosurgery | Radiology Generation and applications of synthetic computed tomography images for neurosurgical planning. April 5, 2024
Neurosurgery | Radiology Deep learning-based quantification of total bleeding volume and its association with complications, disability, and death in patients with aneurysmal subarachnoid hemorrhage. March 29, 2024
Neurology | Neurosurgery Comprehensive characterization of intracranial hemorrhage in deep brain stimulation: a systematic review of literature from 1987 to 2023. March 22, 2024
Neurosurgery | Radiology Data-efficient resting-state functional magnetic resonance imaging brain mapping with deep learning. April 15, 2023
Epileptology | Neurology | Neurosurgery Localizing seizure onset zones in surgical epilepsy with neurostimulation deep learning. September 24, 2022
Neurosurgery | Radiology Accuracy and efficiency using frameless transient fiducial registration in stereoelectroencephalography and deep brain stimulation. July 28, 2022
Healthcare Informatics | Neurosurgery Big data, machine learning, and artificial intelligence: a field guide for neurosurgeons. October 2, 2020
Neurosurgery | Oncology | Radiology An artificial intelligence framework for automatic segmentation and volumetry of vestibular schwannomas from contrast-enhanced T1-weighted and high-resolution T2-weighted MRI. December 7, 2019
Endocrinology | Neurosurgery Neural network-based identification of patients at high risk for intraoperative cerebrospinal fluid leaks in endoscopic pituitary surgery. June 21, 2019
Critical Care Medicine | Neurology Artifact removal from neurophysiological signals: impact on intracranial and arterial pressure monitoring in traumatic brain injury. May 10, 2019