Related references
Note: Only part of the references are listed.Improved multi-parametric prediction of tissue outcome in acute ischemic stroke patients using spatial features
Malte Grosser et al.
PLOS ONE (2020)
Artificial Intelligence Applications in Stroke
Kim Mouridsen et al.
STROKE (2020)
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging
Yannan Yu et al.
JAMA NETWORK OPEN (2020)
Technical considerations of multi-parametric tissue outcome prediction methods in acute ischemic stroke patients
Anthon Jy Winder et al.
SCIENTIFIC REPORTS (2019)
X-Net: Brain Stroke Lesion Segmentation Based on Depthwise Separable Convolution and Long-Range Dependencies
Kehan Qi et al.
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT III (2019)
Thrombectomy for Stroke at 6 to 16 Hours with Selection by Perfusion Imaging
G. W. Albers et al.
NEW ENGLAND JOURNAL OF MEDICINE (2018)
The ratio between cerebral blood flow and Tmax predicts the quality of collaterals in acute ischemic stroke
Ivana Galinovic et al.
PLOS ONE (2018)
Prediction of Tissue Outcome and Assessment of Treatment Effect in Acute Ischemic Stroke Using Deep Learning
Anne Nielsen et al.
STROKE (2018)
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Stefan Winzeck et al.
FRONTIERS IN NEUROLOGY (2018)
Stroke Lesion Outcome Prediction Based on MRI Imaging Combined With Clinical Information
Adriano Pinto et al.
FRONTIERS IN NEUROLOGY (2018)
Fully automated stroke tissue estimation using random forest classifiers (FASTER)
Richard McKinley et al.
JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM (2017)
The Association between Diffusion MRI-Defined Infarct Volume and NIHSS Score in Patients with Minor Acute Stroke
Shadi Yaghi et al.
JOURNAL OF NEUROIMAGING (2017)
Correlation of Tmax volumes with clinical outcome in anterior circulation stroke
Fatih Seker et al.
BRAIN AND BEHAVIOR (2017)
Ischemic Core and Hypoperfusion Volumes Predict Infarct Size in SWIFT PRIME
Gregory W. Albers et al.
ANNALS OF NEUROLOGY (2016)
Acute Stroke Imaging Research Roadmap III Imaging Selection and Outcomes in Acute Stroke Reperfusion Clinical Trials Consensus Recommendations and Further Research Priorities
Steven J. Warach et al.
STROKE (2016)
Time-Dependent Computed Tomographic Perfusion Thresholds for Patients With Acute Ischemic Stroke
Christopher D. d'Esterre et al.
STROKE (2015)
How Sustained Is 24-Hour Diffusion-Weighted Imaging Lesion Reversal? Serial Magnetic Resonance Imaging in a Patient Cohort Thrombolyzed Within 4.5 Hours of Stroke Onset
Sebastien Soize et al.
STROKE (2015)
Role of Acute Lesion Topography in Initial Ischemic Stroke Severity and Long-Term Functional Outcomes
Ona Wu et al.
STROKE (2015)
Apparent diffusion coefficient threshold for delineation of ischemic core
Archana Purushotham et al.
INTERNATIONAL JOURNAL OF STROKE (2015)
Angiographic outcome of endovascular stroke therapy correlated with MR findings, infarct growth, and clinical outcome in the DEFUSE 2 trial
Michael P. Marks et al.
INTERNATIONAL JOURNAL OF STROKE (2014)
Is White Matter More Prone to Diffusion Lesion Reversal After Thrombolysis?
Marie Tisserand et al.
STROKE (2014)
Apparent Diffusion Coefficient Thresholds and Diffusion Lesion Volume in Acute Stroke
Ralph G. R. Thomas et al.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES (2013)
Multiparametric MRI and CT Models of Infarct Core and Favorable Penumbral Imaging Patterns in Acute Ischemic Stroke
Chelsea S. Kidwell et al.
STROKE (2013)
Can DWI-ASPECTS Substitute for Lesion Volume in Acute Stroke?
Constance de Margerie-Mellon et al.
STROKE (2013)
Recommendations on Angiographic Revascularization Grading Standards for Acute Ischemic Stroke A Consensus Statement
Osama O. Zaidat et al.
STROKE (2013)
Regional Prediction of Tissue Fate in Acute Ischemic Stroke
Fabien Scalzo et al.
ANNALS OF BIOMEDICAL ENGINEERING (2012)
Optimal Tmax Threshold for Predicting Penumbral Tissue in Acute Stroke
Jean-Marc Olivot et al.
STROKE (2009)
Predicting Tissue Outcome From Acute Stroke Magnetic Resonance Imaging Improving Model Performance by Optimal Sampling of Training Data
Kristjana Yr Jonsdottir et al.
STROKE (2009)
How reliable is perfusion MR in acute stroke? Validation and determination of the penumbra threshold against quantitative PET
Masashi Takasawa et al.
STROKE (2008)
Intra- and interrater reliability of ischemic lesion volume measurements on diffusion-weighted, mean transit time and fluid-attenuated inversion recovery MRI
Marie Luby et al.
STROKE (2006)
Cerebral blood flow threshold of ischemic penumbra and infarct core in acute ischemic stroke - A systematic review
E Bandera et al.
STROKE (2006)
Automatic selection of arterial input function using cluster analysis
K Mouridsen et al.
MAGNETIC RESONANCE IN MEDICINE (2006)
Statistical validation of image segmentation quality based on a spatial overlap index - Scientific reports
KH Zou et al.
ACADEMIC RADIOLOGY (2004)
Tracer arrival timing-insensitive technique for estimating flow in MR perfusion-weighted imaging using singular value decomposition with a block-circulant deconvolution matrix
O Wu et al.
MAGNETIC RESONANCE IN MEDICINE (2003)
Improved optimization for the robust and accurate linear registration and motion correction of brain images
M Jenkinson et al.
NEUROIMAGE (2002)
Is there an apparent diffusion coefficient threshold in predicting tissue viability in hyperacute stroke?
C Oppenheim et al.
STROKE (2001)
Pricing and hedging derivative securities with neural networks:: Bayesian regularization, early stopping, and bagging
R Gençay et al.
IEEE TRANSACTIONS ON NEURAL NETWORKS (2001)
A global optimisation method for robust affine registration of brain images
M Jenkinson et al.
MEDICAL IMAGE ANALYSIS (2001)
Prediction of malignant middle cerebral artery infarction by diffusion-weighted imaging
C Oppenheim et al.
STROKE (2000)