Stroke Risk Stratification Using Neural Networks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-8031-4_3
Reference25 articles.
1. Feigin VL, Nguyen G, Cercy K, et al (2018) GBD 2016 lifetime risk of stroke collaborators. Global, regional, and country-specific lifetime risks of stroke, 1990 and 2016. N Engl J Med. 379(25):2429–2437. https://doi.org/10.1056/NEJMoa1804492
2. McKinley R, Häni L, Gralla J et al (2017) Fully automated stroke tissue estimation using random forest classifiers (FASTER). J Cereb Blood Flow Metab 37(8):2728–2741. https://doi.org/10.1177/0271678X16674221
3. Nielsen A, Hansen MB, Tietze A, Mouridsen K (2018) Prediction of tissue outcome and assessment of treatment effect in acute ischemic stroke using deep learning. Stroke 49(6):1394–1401. https://doi.org/10.1161/STROKEAHA.117.019740
4. Pinto A, Mckinley R, Alves V, Wiest R, Silva CA, Reyes M (2018) Stroke lesion outcome prediction based on MRI imaging combined with clinical information. Front Neurol 9:1060. https://doi.org/10.3389/fneur.2018.01060
5. Stier N, Vincent N, Liebeskind D, Scalzo F (2015) Deep learning of tissue fate features in acute ischemic stroke. Proc (IEEE Int Conf Bioinform Biomed) 2015:1316–1321. https://doi.org/10.1109/BIBM.2015.7359869
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