Automated Detection of Normal Pressure Hydrocephalus Using CT Imaging for Calculating the Ventricle-to-Subarachnoid Volume Ratio
AJNR 46:141-146, Knittel,J.J.,et al, 2025
Automated Idiopathic Normal Pressure Hydrocephalus Diagnosis via Artificial Intelligence-Based 3D T1 MRI Volumetric Analysis
AJNR 46:33-40, Lee,J.,et al, 2025
Validation of an Artificial Intelligence-Powered Virtual Assistant for Emergency Triage in Neurology
Neurologist 30:155-163, Alessandro,L.,et al, 2025
The First Examination of Diagnostic Performance of Automated Measurement of the Callosal Angle in 1856 Elderly Patients and Volunteers Indicates that 12.4% of Exams Met the Criteria for Possible Normal Pressure Hydrocephalus
AJNR 42:1942-1948, Morzage, M.,et al, 2021
Automated ASPECTS in Acute Ischmeic Stroke: A Comparative Analysis with CT Perfusion
AJNR 40:2033-2038, Sundaram, V.K.,et al, 2019
Intracranial Dural Arteriovenous Fistulae
Stroke 46:2017-2025, Miller, T.R. & Gandhi, D., 2015
Detection of Atrial Fibrillation After Ischemic Stroke or Transient Ischemic Attack
Stroke 45:520-526,355, Kishore, A.,et al, 2014
Optimal Screening Strategy for Familial Intracranial Aneurysms: A Cost-Effectiveness Analysis
Neurol 74:1671-1679, Bor,A.S.E., et al, 2010
Detection of Paroxysmal Atrial Fibrillation with Transtelephonic EKG in TIA or Stroke Patients
Neurol 74:1666-1670, 1662, e94, Gaillard,N., et al, 2010
Cost-Effectiveness of Outpatient Cardiac Monitoring to Detect Atrial Fibrillation After Ischemic Stroke
Stroke 41:1514-1520, Kamel,H., et al, 2010
Cranial Dural Arteriovenous Fistula: Diagnosis and Classification with Time-Resolved MR Angiography at 3T
AJNR 30:1546-1551, Farb,R.I.,et al, 2009
Investigating suspected subarachnoid hemorrhage in adults
, Brown, S.C., et al,
Looking for Atrial Fibrillation with Insertable Cardiac Monitors-Is 1 Year Long Enough and Does it Matter?
, Buck,B.H.,et al,