Related references
Note: Only part of the references are listed.DIOR: Deep Iterative Optimization-Based Residual-Learning for Limited-Angle CT Reconstruction
Dianlin Hu et al.
IEEE TRANSACTIONS ON MEDICAL IMAGING (2022)
World Stroke Organization (WSO): Global Stroke Fact Sheet 2022
Valery L. Feigin et al.
INTERNATIONAL JOURNAL OF STROKE (2022)
Artificial Intelligence for Large-Vessel Occlusion Stroke: A Systematic Review
Nathan A. Shlobin et al.
WORLD NEUROSURGERY (2022)
An effective up-sampling approach for breast cancer prediction with imbalanced data: A machine learning model-based comparative analysis
Tuan Tran et al.
PLOS ONE (2022)
Machine-learning-based outcome prediction in stroke patients with middle cerebral artery-M1 occlusions and early thrombectomy
Janne Hamann et al.
EUROPEAN JOURNAL OF NEUROLOGY (2021)
A Review on Computer Aided Diagnosis of Acute Brain Stroke
Mahesh Anil Inamdar et al.
SENSORS (2021)
Deep Learning in the Prediction of Ischaemic Stroke Thrombolysis Functional Outcomes: A Pilot Study
Stephen Bacchi et al.
ACADEMIC RADIOLOGY (2020)
A Review of Multimodal Medical Image Fusion Techniques
Bing Huang et al.
COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE (2020)
Deep Learning-Derived High-Level Neuroimaging Features Predict Clinical Outcomes for Large Vessel Occlusion
Hidehisa Nishi et al.
STROKE (2020)
Artificial Intelligence Applications in Stroke
Kim Mouridsen et al.
STROKE (2020)
Multimodal Predictive Modeling of Endovascular Treatment Outcome for Acute Ischemic Stroke Using Machine-Learning
Gianluca Brugnara et al.
STROKE (2020)
Predicting Clinical Outcome in Acute Ischemic Stroke Using Parallel Multi-Parametric Feature Embedded Siamese Network
Saira Osama et al.
DIAGNOSTICS (2020)
Prevalence of large vessel occlusion in patients presenting with acute ischemic stroke: a 10-year systematic review of the literature
Nikita Lakomkin et al.
JOURNAL OF NEUROINTERVENTIONAL SURGERY (2019)
Mental health monitoring with multimodal sensing and machine learning: A survey
Enrique Garcia-Ceja et al.
PERVASIVE AND MOBILE COMPUTING (2018)
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI
Stefan Winzeck et al.
FRONTIERS IN NEUROLOGY (2018)
Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms
Hendrikus J. A. van Os et al.
FRONTIERS IN NEUROLOGY (2018)
Machine Learning for Healthcare: On the Verge of a Major Shift in Healthcare Epidemiology
Jenna Wiens et al.
CLINICAL INFECTIOUS DISEASES (2018)
The Dutch Acute Stroke Audit: Benchmarking acute stroke care in the Netherlands
Laurien S. Kuhrij et al.
EUROPEAN STROKE JOURNAL (2018)
A survey of multimodal sentiment analysis
Mohammad Soleymani et al.
IMAGE AND VISION COMPUTING (2017)
Prediction of Early Arterial Recanalization and Tissue Fate in the Selection of Patients With the Greatest Potential to Benefit From Intravenous Tissue-Type Plasminogen Activator
Carlos Leiva-Salinas et al.
STROKE (2016)
Does Large Vessel Occlusion Affect Clinical Outcome in Stroke with Mild Neurologic Deficits after Intravenous Thrombolysis?
Wusheng Zhu et al.
JOURNAL OF STROKE & CEREBROVASCULAR DISEASES (2014)
Machine Learning for Outcome Prediction of Acute Ischemic Stroke Post Intra-Arterial Therapy
Hamed Asadi et al.
PLOS ONE (2014)
Perfusion CT in Acute Stroke: A Comprehensive Analysis of Infarct and Penumbra
Andrew Bivard et al.
RADIOLOGY (2013)
Certainty of Stroke Diagnosis: Incremental Benefit with CT Perfusion over Noncontrast CT and CT Angiography
Julia Hopyan et al.
RADIOLOGY (2010)
A systematic analysis of performance measures for classification tasks
Marina Sokolova et al.
INFORMATION PROCESSING & MANAGEMENT (2009)
Guidelines for the early management of adults with ischemic stroke - A guideline from the American Heart Association/American Stroke Association Stroke Council, Clinical Cardiology Council, Cardiovascular Radiology and Intervention Council, and the atherosclerotic peripheral vascular disease and quality of care outcomes in research interdisciplinary working groups
Harold P. Adams et al.
STROKE (2007)