{"id":1157,"date":"2021-12-03T19:03:00","date_gmt":"2021-12-03T10:03:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/english\/?p=1157"},"modified":"2022-08-27T21:31:26","modified_gmt":"2022-08-27T12:31:26","slug":"20211203_4027","status":"publish","type":"event","link":"http:\/\/cinetjp-static3.nict.go.jp\/english\/event\/20211203_4027\/","title":{"rendered":"Friday Lunch Seminar: Ryoji Hirano: \u201cA fully-automated neuromagnetic dipole analysis of epileptic spikes using deep learning\u201d (On-line for CiNet members only: Sign-up required)"},"content":{"rendered":"\n

Friday Lunch Seminar (English)<\/p>\n\n\n\n

December 3, 2021
12:15 \u301c 13:00
(On-line)<\/p>\n\n\n\n

Talk Title: A fully-automated neuromagnetic dipole analysis of epileptic spikes using deep learning<\/p>\n\n\n\n

Ryoji Hirano
Specially-appointed Assistant Professor
Graduate School of Medicine, Osaka University<\/p>\n\n\n\n

Host PI:\u00a0Masayuki Hirata<\/a><\/p>\n\n\n\n

Abstract:
Magnetoencephalography (MEG) is a powerful diagnostic tool for the localization of epileptic activity. However, the analysis of MEG data, especially visual spike detection, is seriously time-consuming and depends on neurophysiologists\u2019 skills and experiences. To overcome these problems, we developed a novel fully-automated dipole analysis called FAMED (a fully automated AI-based MEG interictal epileptiform discharge identification and ECD estimation). In this seminar, we introduce FAMED and its actual application.<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event\/1157"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/event"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/types\/event"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/media?parent=1157"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}