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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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Brain stroke detection from computed tomography images using deep learning algorithms Applications of Artificial Intelligence in Medical Imaging. 2023;207-222  Deep into the Brain: Artificial Intelligence in Stroke Imaging Journal of Stroke. 2017;19(3):277-285 Magnetic resonance imagining-based automated brain tumor detection using deep learning techniques Applications of Artificial Intelligence in Medical Imaging. 2023;75-107 Brain hemorrhage detection using computed tomography images and deep learning Applications of Artificial Intelligence in Medical Imaging. 2023;283-303 Brain imaging and artificial intelligence Casting Light on the Dark Side of Brain Imaging. 2019;99-103 PET/CT in Brain Tumors: Current Artificial Intelligence Applications Artificial Intelligence in PET/CT Oncologic Imaging. 2022;21-31 Artificial intelligence based Alzheimer’s disease detection using deep feature extraction Applications of Artificial Intelligence in Medical Imaging. 2023;333-355 Analysis of Brain Computer Interface Using Deep and Machine Learning Artificial Intelligence. 2022; 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 |
