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| Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning |
| Wu Qiu, Hulin Kuang, Johanna M. Ospel, Michael D. Hill, Andrew M. Demchuk, Mayank Goyal, Bijoy K. Menon |
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J Stroke. 2021;23(2):234-243. Published online May 31, 2021 DOI: https://doi.org/10.5853/jos.2020.05064 |
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Automated Prediction of Ischemic Brain Tissue Fate from Multiphase Computed Tomographic Angiography in Patients with Acute Ischemic Stroke Using Machine Learning Journal of Stroke. 2021;23(2):234-243  Automated detection of ischemic stroke with brain MRI using machine learning and deep learning features Magnetic Resonance Imaging. 2022;147-174 Dynamic Prediction of Mechanical Thrombectomy Outcome for Acute Ischemic Stroke Patients Using Machine Learning Brain Sciences. 2022;12(7):938 Optimal Multiphase Computed Tomographic Angiography-based Infarct Core Estimations for Acute Ischemic Stroke Scientific Reports. 2019;9(1): Quantitative prediction of acute ischemic tissue fate using support vector machine Brain Research. 2011;1405:77-84 Using multiclass machine learning model to improve outcome prediction of acute ischemic stroke patients after reperfusion therapy 2020 International Computer Symposium (ICS). 2020; Implementation of multiphase computed tomography angiography in management of patients with acute ischemic stroke in clinical practice Journal of Clinical Neuroscience. 2019;62:100-104 Value of brain computed tomographic angiography to predict post thrombectomy final infarct size and clinical outcome in acute ischemic stroke Asian Journal of Neurosurgery. 2019;14(04):1126-1133 Capillary Index Score Derived from Computed Tomography Angiography as An Indicator of Collateral Flow after Acute Ischemic Stroke . 2019; Can Computed Tomographic Angiography Be Used to Predict Who Will Not Benefit from Endovascular Treatment in Patients with Acute Ischemic Stroke? The CTA-ABC Score Journal of Korean Neurosurgical Society. 2020;63(4):470-476 |
