Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images
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Achilles et al. [158] achieved sensitivity of 87% and specificity of 81% for generalized tonic-clonic seizures.
“Combining outputs from both networks, they achieved the prediction of ictal or interictal epilepsy phases, with their method demonstrating high sensitivity (87%) and specificity (81%) for generalized tonic-clonic seizures.”
From A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis (2024) · cites this paper as [158]
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A Comprehensive Review on Synergy of Multi-Modal Data and AI Technologies in Medical Diagnosis
Xu, X., Li, J., Zhu, Z., Zhao, L., Wang, H., Song, C., Chen, Y., Zhao, Q., Yang, J., & Pei, Y. (2024) · Bioengineering · doi:10.3390/bioengineering11030219 · Cited by 242 · see citing works
Karácsony, T., Loesch-Biffar, A. M., Vollmar, C., Rémi, J., Noachtar, S., & Cunha, J. P. S. (2022) · Scientific Reports · doi:10.1038/s41598-022-23133-9 · Cited by 38 · see citing works
Self-citationKarácsony, T., Loesch-Biffar, A. M., Vollmar, C., Noachtar, S., & Cunha, J. P. S. (2020) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp40776.2020.9054649 · Cited by 34 · see citing works
Self-citationAutomated video analysis of emotion and dystonia in epileptic seizures
Hou, J.-C., Thonnat, M., Bartoloméi, F., & McGonigal, A. (2022) · Epilepsy Research · doi:10.1016/j.eplepsyres.2022.106953 · Cited by 29 · see citing works
Karacsony, T., Loesch-Biffar, A. M., Vollmar, C., Noachtar, S., & Cunha, J. P. S. (2021) · 2021 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI) · doi:10.1109/bhi50953.2021.9508555 · Cited by 14 · see citing works
Self-citationRecognition of big data mixed Raman spectra based on deep learning with smartphone as Raman analyzer
Liang, J., & Mu, T. (2019) · Electrophoresis · doi:10.1002/elps.201900302 · Cited by 12 · see citing works
A Novel Seizure Prediction Method Based on Generative Features
Liu, L., Duan, L., Xiao, Y., & Qiao, Y. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-02698-1_59
Ding, P., Liu, T., Xu, J., Yuan, L., Zhang, L., Wei, Z., Tai, Y., & Liang, S. (2025) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2025.110785
- Authors
- Achilles, F., Belagiannis, V., Tombari, F., Loesch, A. M., Cunha, J. P. S., Navab, N., & Noachtar, S.
- Affiliations
- Ludwig-Maximilians-Universität München (DE)
- Technical University of Munich (DE)
- University of Bologna (IT)
- INESC TEC (PT)
- Johns Hopkins University (US)
- Corresponding author
- Noachtar, S.
- Venue
- Journal of the Neurological Sciences
- Publisher
- Elsevier BV
- Published
- 2015-10
- Volume
- 357
- Pages
- e436
- ISSN
- 0022-510X (ISSN-L)
- OpenAlex
- W2514274305
- Cited by
- 8
- References
- 0
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the Neurological Sciences (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Keywords
- seizure detection, deep convolutional neural networks, infrared images, depth images, home monitoring
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