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| Deep into the Brain: Artificial Intelligence in Stroke Imaging |
| Eun-Jae Lee, Yong-Hwan Kim, Namkug Kim, Dong-Wha Kang |
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J Stroke. 2017;19(3):277-285. Published online September 29, 2017 DOI: https://doi.org/10.5853/jos.2017.02054 |
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Deep into the Brain: Artificial Intelligence in Stroke Imaging Journal of Stroke. 2017;19(3):277-285  Deep convolutional neural networks for brain image analysis on magnetic resonance imaging: a review Artificial Intelligence in Medicine. 2019;95:64-81 Brain imaging and artificial intelligence Casting Light on the Dark Side of Brain Imaging. 2019;99-103 Deep autoencoder-based automated brain tumor detection from MRI data Artificial Intelligence-Based Brain-Computer Interface. 2022;317-351 Machine learning in deep brain stimulation: A systematic review Artificial Intelligence in Medicine. 2021;122:102198 Artificial intelligence in stroke care: Deep learning or superficial insight? EBioMedicine. 2018;35:14-15 Artificial intelligence and deep learning – Radiology's next frontier? Clinical Imaging. 2018;49:87-88 Deep Learning and Machine Learning in Imaging: Basic Principles Artificial Intelligence in Medical Imaging. 2019;39-46 Research on the Application of Artificial Intelligence in Brain Functional Imaging Artificial Intelligence in China. 2022;607-613 Artificial Intelligence requires more than deep learning — but what, exactly? Artificial Intelligence. 2020;289:103386 |
