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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2020-01-30
10:50		 Okinawa OKINAWAKEN SEINENKAIKAN [Short Paper] Study of image quality improvement technique using deep learning for nuclear medicine images
Masaya Momiuchi, Takeshi Hara (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Masaki Matsusako (St. Luke's Hospital), Hiroshi Fujita (Gifu Univ) MI2019-102		 Spatial resolutions in nuclear medical imaging are not equivalent to ordinary medical images such as CT or MR modalities... [more] MI2019-102
pp.165-168
MI 2017-01-18
14:15		 Okinawa Tenbusu Naha [Short Paper]
Tomohiko Kobota, Takeshi Hara (Gifu Univ), Hiroshi Tago (Japanese Red Cross Gifu Hosp), Daisuke Fukuoka (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroo Goto (Japanese Red Cross Gifu Hosp), Hiroshi Fujita (Gifu Univ) MI2016-93		 (To be available after the conference date) [more] MI2016-93
pp.81-82
MI 2015-07-14
15:40		 Hokkaido Sun Refle Hakodate Semi-automated measurement of mean cerebral blood flow based on dynamic scintigrams
Tomohiko Kobota (Gifu Univ), Hiroshi Tago (Japanese Red Cross Gifu Hosp), Takeshi Hara, Daisuke Fukuoka (Gifu Univ), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroo Goto (Japanese Red Cross Gifu Hosp), Hiroshi Fujita (Gifu Univ) MI2015-36		 Patlak plot法は, 脳血流シンチグラフィにおいて低侵襲な平均脳血流量(mCBF)の測定法として利用される. mCBFの値の再現性は認知症の診断に重要である. しかし手動操作による大脳半球, 大動脈弓のROIの設定は、測定値の再現性... [more] MI2015-36
pp.23-26
PRMU, IE, MI 2009-05-29
15:15		 Gifu Gifu Univ. Development of a computer-aided-diagnosis system based on temporal-subtraction tehnique in torso FDG-PET image.
Tokifumi Suzuki, Tomoya Asai, Tatsunori Kobayashi, Takeshi Hara, Xiangrong Zhou (Gifu Univ), Satoshi Ito (Daiyukai Hospital), Tetsuro Katafuchi (Gifu Univ of Medical Science), Hiroshi Fujita (Gifu Univ) IE2009-47 PRMU2009-38 MI2009-38		 The purpose of this study is to develop a technique for the computer-aided diagnosis (CAD) system in torso FDG-PET image... [more] IE2009-47 PRMU2009-38 MI2009-38
pp.209-212
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