{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,30]],"date-time":"2025-10-30T07:16:43Z","timestamp":1761808603728,"version":"3.40.3"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031355004"},{"type":"electronic","value":"9783031355011"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-35501-1_10","type":"book-chapter","created":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T20:34:21Z","timestamp":1685738061000},"page":"100-107","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Clustering of High Frequency Oscillations HFO in Epilepsy Using Pretrained Neural Networks"],"prefix":"10.1007","author":[{"given":"Zayneb","family":"Sadek","sequence":"first","affiliation":[]},{"given":"Abir","family":"Hadriche","sequence":"additional","affiliation":[]},{"given":"Nawel","family":"Jmail","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2023,6,3]]},"reference":[{"key":"10_CR1","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1007\/978-3-7091-6117-3_3","volume-title":"Advances in Epilepsy Surgery and Radiosurgery","author":"J Zentner","year":"2002","unstructured":"Zentner, J.: Surgical treatment of epilepsies. In: Sutter, B., Schr\u00f6ttner, O. (eds.) Advances in Epilepsy Surgery and Radiosurgery, pp. 27\u201335. Springer Vienna, Vienna (2002). https:\/\/doi.org\/10.1007\/978-3-7091-6117-3_3"},{"key":"10_CR2","series-title":"Lecture Notes in Networks and Systems","doi-asserted-by":"publisher","first-page":"816","DOI":"10.1007\/978-3-030-96308-8_76","volume-title":"Intelligent Systems Design and Applications","author":"A Hadriche","year":"2022","unstructured":"Hadriche, A., ElBehy, I., Hajjej, A., Jmail, N.: Evaluation of techniques for predicting a build up of a seizure. In: Abraham, A., Gandhi, N., Hanne, T., Hong, T.-P., Nogueira Rios, T., Ding, W. (eds.) ISDA 2021. LNNS, vol. 418, pp. 816\u2013827. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-030-96308-8_76"},{"doi-asserted-by":"publisher","unstructured":"Hadriche, A,, Behy, I., Necibi, A., Kachouri, A., Ben Amar, C., Jmail, N.: Assessment of Effective Network Connectivity among MEG None Contaminated Epileptic Transitory Events. Computational and Mathematical Methods in Medicine (2021). https:\/\/doi.org\/10.1155\/2021\/6406362","key":"10_CR3","DOI":"10.1155\/2021\/6406362"},{"doi-asserted-by":"publisher","unstructured":"Nawel, J., Abir, H., Ichrak, B., Amal, N., Chokri, B.A.: A comparison of inverse problem methods for source localization of epileptic meg spikes. In:\u00a02019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE), pp. 867\u2013870 (2019) https:\/\/doi.org\/10.1109\/BIBE.2019.00161","key":"10_CR4","DOI":"10.1109\/BIBE.2019.00161"},{"doi-asserted-by":"crossref","unstructured":"Jmail, N., Gavaret, M., Wendling, F., Kachouri, A., Hamadi, G., Badier, J.M.: A comparison of methods for separation of transient and oscillatory signals in EEG. J. Neurosci. Methods 193, 273\u2013289 (2011)","key":"10_CR5","DOI":"10.1016\/j.jneumeth.2011.04.028"},{"issue":"1","key":"10_CR6","doi-asserted-by":"publisher","first-page":"106","DOI":"10.1016\/j.clinph.2011.06.006","volume":"123","author":"R Zelmann","year":"2012","unstructured":"Zelmann, R., Mari, F., Jacobs, J., Zijlmans, M., Dubeau, F., Gotman, J.: A comparison between detectors of high frequency oscillations. Clinical Neurophysiol. 123(1), 106\u2013116 (2012). https:\/\/doi.org\/10.1016\/j.clinph.2011.06.006","journal-title":"Clinical Neurophysiol."},{"issue":"4","key":"10_CR7","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1111\/j.1528-1167.2008.01917.x","volume":"50","author":"J Engel","year":"2009","unstructured":"Engel, J., Bragin, A., Staba, R., Mody, I.: High-frequency oscillations: what is normal and what is not? Epilepsia 50(4), 598\u2013604 (2009)","journal-title":"Epilepsia"},{"issue":"Pt 11","key":"10_CR8","doi-asserted-by":"publisher","first-page":"3047","DOI":"10.1093\/brain\/awp222","volume":"132","author":"CA Schevon","year":"2009","unstructured":"Schevon, C.A., Trevelyan, A.J., Schroeder, C.E., Goodman, R.R., McKhann, G., Emerson, R.G.: Spatial characterization of interictal high frequency oscillations in epileptic neocortex. Brain 132(Pt 11), 3047\u20133059 (2009)","journal-title":"Brain"},{"unstructured":"Worrell, G.A., et al.: High-frequency oscillations in human temporal lobe: simultaneous microwire","key":"10_CR9"},{"doi-asserted-by":"crossref","unstructured":"Blanco, J.A., et al.: Unsupervised classification of high-frequency oscillations in human neocortical epilepsy and control patients. J. Neurophysiol. 104(5), 2900\u20132912 (2010)","key":"10_CR10","DOI":"10.1152\/jn.01082.2009"},{"doi-asserted-by":"crossref","unstructured":"Andrew, B.G., Greg W., Eric, A,M., Dennis, D., Brian, L.: Human and automated detection of high-frequency oscillations in clinical intracranial EEG Regcordings. Clin. Neurophysiol. 118(5), 1134\u20131143 (2007)","key":"10_CR11","DOI":"10.1016\/j.clinph.2006.12.019"},{"unstructured":"Akiyama, T., et al.: Focal cortical high-frequency oscillations trigger epileptic spasms: confirmation by digital video subdural EEG. Clin. Neurophysiol.","key":"10_CR12"},{"issue":"Pt 1","key":"10_CR13","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1093\/brain\/awp277","volume":"133","author":"B Cr\u00e9pon","year":"2010","unstructured":"Cr\u00e9pon, B., et al.: Mapping interictal oscillations greater than 200 Hz recorded with intracranial macroelectrodes in human epilepsy. Brain 133(Pt 1), 33\u201345 (2010)","journal-title":"Brain"},{"doi-asserted-by":"crossref","unstructured":"Burnos, S., et al.: Human intracranial high frequency oscillations (HFOs) detected by automatic time-frequency analysis. PLoS One 9(4), e94381 (2014)","key":"10_CR14","DOI":"10.1371\/journal.pone.0094381"},{"unstructured":"Goodfellow, I., Bengio, Y., Courville, A.: Deep Learning, vol. 43. MIT Press (2016)","key":"10_CR15"},{"doi-asserted-by":"crossref","unstructured":"Lecun, Y., Bottou, L., Bengio, Y., Haffner, P.: Gradient-based learning applied to document recognition. Proc. IEEE 86(11), 2278\u20132324 (1998)","key":"10_CR16","DOI":"10.1109\/5.726791"},{"unstructured":"Leland, M., Healy, J., Melville, J.: Umap: uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426 (2018)","key":"10_CR17"},{"unstructured":"David, M.C., et al.: t-SNE-CUDA: GPU-accelerated t-SNE and its applications to modern data. Preprint arXiv arXiv:1807.11824 (2018)","key":"10_CR18"},{"unstructured":"Benchmarks for popular CNN models. https:\/\/github.com\/jcjohnson\/cnn-benchmarks","key":"10_CR19"}],"container-title":["Lecture Notes in Networks and Systems","Intelligent Systems Design and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35501-1_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,6,2]],"date-time":"2023-06-02T20:35:13Z","timestamp":1685738113000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35501-1_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031355004","9783031355011"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35501-1_10","relation":{},"ISSN":["2367-3370","2367-3389"],"issn-type":[{"type":"print","value":"2367-3370"},{"type":"electronic","value":"2367-3389"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"3 June 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ISDA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Intelligent Systems Design and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 December 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14 December 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"isda2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.mirlabs.net\/isda22\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}