home
publications
grants
posts
training
contact
CV
CV long
CV short
Light
Dark
Automatic
Optimizing the selection of Parkinson’s disease patients for neuromodulation using the levodopa challenge test
Dinkar Kulshreshtha
,
Marcus Pieterman
,
Greydon Gilmore
,
Mandar Jog
February 2022
PDF
Cite
Source Document
DOI
Type
Journal article
Publication
In
Journal of Neurology
Greydon Gilmore
Intraoperative Neurophysiologist Biomedical Engineer
My research interests include deep brain stimulation, machine learning and signal processing.
Next
Waveform detection by deep learning reveals multi-area spindles that are selectively modulated by memory load
Previous
Application of the anatomical fiducials framework to a clinical dataset of patients with Parkinson’s disease
Related
The impact of localization and registration accuracy on estimates of deep brain stimulation electrode position in stereotactic space
Mapping the topographic organization of the human zona incerta using diffusion MRI
Radiofrequency-thermocoagulation in pediatric epilepsy surgery: a systematic review and pooled analysis of cases
Disrupting the epileptogenic network with stereoelectroencephalography-guided radiofrequency thermocoagulation
MRI-degad: toward accurate conversion of gadolinium-enhanced T1w MRIs to non-contrast-enhanced scans using CNNs
Cite
×