{"created":"2023-05-15T15:03:39.053524+00:00","id":86202,"links":{},"metadata":{"_buckets":{"deposit":"1eade79a-b636-4b77-a036-a2e614c148ed"},"_deposit":{"created_by":1,"id":"86202","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"86202"},"status":"published"},"_oai":{"id":"oai:repo.qst.go.jp:00086202","sets":["10:28"]},"author_link":["1049239","1049241","1049240","1049242"],"item_10005_date_7":{"attribute_name":"発表年月日","attribute_value_mlt":[{"subitem_date_issued_datetime":"2022-05-26","subitem_date_issued_type":"Issued"}]},"item_10005_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"異なる脳機能イメージング法であるfMRIとPETで撮像画像に共通する成分はあるのだろうか。共通する成分を抽出できれば、それを利用しfMRI画像とPET画像を相互に変換することが可能となる。本研究では、共通成分の抽出・相互変換を試みるため、深層学習により拡張した正順相関分析法を実装した。本発表において、シミュレーションデータに適応した予備結果を報告し、実データ適用に向けた課題・拡張について議論する。","subitem_description_type":"Abstract"}]},"item_10005_description_6":{"attribute_name":"会議概要（会議名, 開催地, 会期, 主催者等）","attribute_value_mlt":[{"subitem_description":"量子生命科学会 第4回大会","subitem_description_type":"Other"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"metadata only access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_14cb"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"間島, 慶"}],"nameIdentifiers":[{"nameIdentifier":"1049239","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"八幡, 憲明"}],"nameIdentifiers":[{"nameIdentifier":"1049240","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Kei, Majima","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1049241","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Noriaki, Yahata","creatorNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1049242","nameIdentifierScheme":"WEKO"}]}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"conference object","resourceuri":"http://purl.org/coar/resource_type/c_c94f"}]},"item_title":"fMRI-PET間で撮像画像を相互に変換するための機械学習法開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"fMRI-PET間で撮像画像を相互に変換するための機械学習法開発"}]},"item_type_id":"10005","owner":"1","path":["28"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-19"},"publish_date":"2022-05-19","publish_status":"0","recid":"86202","relation_version_is_last":true,"title":["fMRI-PET間で撮像画像を相互に変換するための機械学習法開発"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T17:09:52.373883+00:00"}