Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load
Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease
Adapting the listening time for micro-electrode recordings in deep brain stimulation interventions
Extending convolutional neural networks for localizing the subthalamic nucleus from microelectrode recordings in Parkinson’s disease
Direct visualization and characterization of the human zona incerta and surrounding structures.
Image guidance in deep brain stimulation surgery to treat Parkinson's disease: a comprehensive review
Intraoperative Localization of STN During DBS Surgery Using a Data-Driven Model