Artificial intelligence techniques for automated diagnosis of neurological disorders

U Raghavendra, UR Acharya, H Adeli - European neurology, 2020‏ - karger.com
Background: Authors have been advocating the research ideology that a computer-aided
diagnosis (CAD) system trained using lots of patient data and physiological signals and …

[HTML][HTML] Guidelines for the early management of adults with ischemic stroke

HP Adams Jr, G Del Zoppo, MJ Alberts, DL Bhatt… - Stroke, 2007‏ - journals.lww.com
Purpose—Our goal is to provide an overview of the current evidence about components of
the evaluation and treatment of adults with acute ischemic stroke. The intended audience is …

ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset

MR Hernandez Petzsche, E de la Rosa, U Hanning… - Scientific data, 2022‏ - nature.com
Magnetic resonance imaging (MRI) is an important imaging modality in stroke. Computer
based automated medical image processing is increasingly finding its way into clinical …

Automated segmentation and classification of brain stroke using expectation-maximization and random forest classifier

A Subudhi, M Dash, S Sabut - Biocybernetics and Biomedical Engineering, 2020‏ - Elsevier
Magnetic resonance imaging (MRI) is effectively used for accurate diagnosis of acute
ischemic stroke. This paper presents an automated method based on computer aided …

DWI-FLAIR mismatch for the identification of patients with acute ischaemic stroke within 4· 5 h of symptom onset (PRE-FLAIR): a multicentre observational study

G Thomalla, B Cheng, M Ebinger, Q Hao… - The Lancet …, 2011‏ - thelancet.com
Background Many patients with stroke are precluded from thrombolysis treatment because
the time from onset of their symptoms is unknown. We aimed to test whether a mismatch in …

Baseline NIH Stroke Scale score strongly predicts outcome after stroke: a report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST)

HP Adams Jr, PH Davis, EC Leira, KC Chang… - Neurology, 1999‏ - neurology.org
Objective: To compare the baseline National Institutes of Health Stroke Scale (NIHSS) score
and the Trial of Org 10172 in Acute Stroke Treatment (TOAST) stroke subtype as predictors …

Diffusion-weighted MR imaging of the brain

PW Schaefer, PE Grant, RG Gonzalez - Radiology, 2000‏ - pubs.rsna.org
Diffusion-weighted magnetic resonance (MR) imaging provides image contrast that is
different from that provided by conventional MR techniques. It is particularly sensitive for …

Guidelines for the early management of patients with ischemic stroke: a scientific statement from the Stroke Council of the American Stroke Association

HP Adams Jr, RJ Adams, T Brott, GJ Del Zoppo… - stroke, 2003‏ - ahajournals.org
nally, the evaluation provides historical data or other information that can be used to
establish the vascular distribution of the stroke and to provide clues about its likely …

Diffusion weighted magnetic resonance imaging and its recent trend—a survey

GS Chilla, CH Tan, C Xu… - Quantitative imaging in …, 2015‏ - pmc.ncbi.nlm.nih.gov
Since its inception in 1985, diffusion weighted magnetic resonance imaging has been
evolving and is becoming instrumental in diagnosis and investigation of tissue functions in …