Image guidance in deep brain stimulation surgery to treat Parkinson's disease: a comprehensive review
IEEE Transactions on Biomedical Engineering
My research interests include deep brain stimulation, machine learning and signal processing.
Image-Based Subthalamic Nucleus Segmentation for Deep Brain Surgery with Electrophysiology Aided Refinement
Assessing the effect of current steering on the total electrical energy delivered and ambulation in Parkinson’s disease
Optimizing the selection of Parkinson’s disease patients for neuromodulation using the levodopa challenge test
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.