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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 7件中 1~7件目  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2016-01-20
13:05
Okinawa Bunka Tenbusu Kan [Poster Presentation] A Novel Ellipsoid Convex Enhancement Filter for Boosting the Performance in Detection of Asymptomatic Intracranial Aneurysms at 3.0 T Magnetic Resonance Angiography
Ze Jin, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. Occupational and Environmental Health), Fumio Yamashita, Makoto Sasaki (Iwate Medical Univ.), Yukunori Korogi (Univ. Occupational and Environmental Health)
 [more] MI2015-126
pp.257-261
MI 2014-01-27
13:30
Okinawa Bunka Tenbusu Kan Evaluation of an automated identification system of unruptured intracranial aneurysm candidates based on a blob structure enhancement filter at 3.0 T magnetic resonance angiography
Ze Jin, Hidetaka Arimura (Kyushu Univ.), Yukunori Korogi (Univ. Hospital of Occupational & Environmental Health), Fumio Yamashita, Makoto Sasaki (Medical Iwate Univ.)
An automated identification system of unruptured intracranial aneurysm candidates based on a three-dimensional (3D) blob... [more] MI2013-102
pp.249-253
MI 2009-01-19
11:05
Overseas National Taiwan University Automated method for segmentation of white matter and gray matter regions with multiple sclerosis in 3T MR images
Taiki Magome, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Daisuke Yamamoto, Yasuo Kawata (Kyushu Univ.), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health)
The atrophy of white matter (WM) and gray matter (GM) in multiple sclerosis (MS) could be associated with the progressio... [more] MI2008-58
pp.9-10
MI 2009-01-21
09:50
Overseas National Taiwan University [Poster Presentation] Computerized Detection of Multiple Sclerosis Lesions based on 3.0 T Two-dimensional Magnetic Resonance Images
Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (Kyushu Univ.), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health)
The assessment of multiple sclerosis (MS) lesions would be a demanding and time-consuming task, because MS lesions prese... [more] MI2008-171
pp.505-506
MI 2008-01-25
15:00
Okinawa Naha-Bunka-Tenbusu Computerized detection of multiple sclerosis lesions based on magnetic resonance imaging
Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ), Shingo Kakeda (Univ. of Occupational and Environmental Health), Taiki Magome (Kyushu Univ), Yasuo Yamashita (Kyushu Univ. Hospital), Masafumi Ohki, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ), Yukunori Korogi (Univ. of Occupational and Environmental Health)
It is very important to evaluate the temporal change of multiple sclerosis (MS) lesions in terms of location, shape, and... [more] MI2007-97
pp.177-180
MI 2007-09-20
14:45
Fukuoka Kyushu Univ. Segmentation of white matter regions based on a level set method for multiple sclerosis
Taiki Magome, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Daisuke Yamamoto, Seiji Kumazawa, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health)
It was reported that the atrophy in the cerebral white matter regions could correlate with MS progression. Our goal is t... [more] MI2007-44
pp.49-50
MI 2007-09-20
15:10
Fukuoka Kyushu Univ. Development of automated method for detection of multiple sclerosis candidate regions based on brain magnetic resonance images
Daisuke Yamamoto, Hidetaka Arimura (Kyushu Univ.), Shingo Kakeda (Univ. of Occupational and Environmental Health), Yasuo Yamashita (Kyushu Univ. Hospital), Seiji Kumazawa, Fukai Toyofuku, Yoshiharu Higashida (Kyushu Univ.), Yukunori Korogi (Univ. of Occupational and Environmental Health)
The severity and symptom of multiple sclerosis (MS) depend on its location, shape, and area. It is very important to eva... [more] MI2007-45
pp.51-52
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