Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures
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Springer International Publishing
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https://link.springer.com/content/pdf/10.1007/978-3-030-87240-3_32
Reference24 articles.
1. Ahmedt-Aristizabal, D., Nguyen, K., Denman, S., Sridharan, S., Dionisio, S., Fookes, C.: Deep motion analysis for epileptic seizure classification. In: 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), pp. 3578–3581 (July 2018). ISSN 1558-4615. https://doi.org/10.1109/EMBC.2018.8513031
2. Ahmedt-Aristizabal, D., et al.: A hierarchical multimodal system for motion analysis in patients with epilepsy. Epilepsy Behav. 87, 46–58 (2018). https://doi.org/10.1016/j.yebeh.2018.07.028
3. Ahmedt-Aristizabal, D., et al.: Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: a focused survey. Epilepsia 58(11), 1817–1831 (2017). https://doi.org/10.1111/epi.13907
4. Ahmedt-Aristizabal, D., et al.: Deep facial analysis: a new phase I epilepsy evaluation using computer vision. Epilepsy Behav. 82, 17–24 (2018). https://doi.org/10.1016/j.yebeh.2018.02.010
5. Carreira, J., Zisserman, A.: Quo Vadis, action recognition? A new model and the kinetics dataset. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4724–4733 (July 2017). ISSN 1063-6919. https://doi.org/10.1109/CVPR.2017.502
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