ホーム ニュース & イベント 過去のイベント ＜CiNet メンバーを対象にon-line 開催＞Friday Lunch Seminar 平野諒司：‟A fully-automated neuromagnetic dipole analysis of epileptic spikes using deep learning”

＜CiNet メンバーを対象にon-line 開催＞Friday Lunch Seminar 平野諒司：‟A fully-automated neuromagnetic dipole analysis of epileptic spikes using deep learning”

2021年12月3日　　Friday Lunch Seminar （英語で開催）
12:15 〜 13:00
On-lineで開催いたします。

演題：A fully-automated neuromagnetic dipole analysis of epileptic spikes using deep learning

大阪大学大学院医学系研究科
特任助教
平野諒司

担当PI：平田 雅之

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’ 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.