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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, MICT 2017-11-06
10:00		 Kagawa Sunport Hall Takamatsu Automated Initialization of 2D-3D Registration of Rib Cage from Chest Radiography using Convolutional Neural Network
Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MICT2017-27 MI2017-49		 The difficulties in automation of 2D-3D registration are two-folds: initialization and failure detection. In this paper,... [more] MICT2017-27 MI2017-49
pp.5-8
MI 2017-01-18
10:17		 Okinawa Tenbusu Naha Evaluation of piecewise rigid 2D-3D registration constrained by uniaxial joints for analysis of rib cage motion using X-ray video
Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka (Kanazawa Univ.), Futoshi Yokota (NAIST), Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MI2016-72		  [more] MI2016-72
pp.7-12
MI 2017-01-18
13:00		 Okinawa Tenbusu Naha [Special Talk] Physiologic-Dynamic Radiography -From Development to Clinical Use
Shigeru Sanada (Kanazawa Univ.) MI2016-79		 We have developed dynamic screening examinations that provide physiological and functional information of the chest and ... [more] MI2016-79
pp.33-36
MI 2015-11-11
16:25		 Nara NAIST Measurement of rib cage motion from X-ray video using constrained intensity-based 2D-3D registration
Yuta Hiasa, Yoshito Otake (NAIST), Rie Tanaka, Shigeru Sanada (Kanazawa Univ.), Yoshinobu Sato (NAIST) MI2015-69		 By measurement of the rib cage motion, further improvement of the diagnosis of pulmonary function is expected. For examp... [more] MI2015-69
pp.61-65
IE, ITE-AIT, ITE-ME [detail] 2014-11-07
10:00		 Kagoshima   A study on improvement of microcalcification attenuation in medical image denoising using NL-means
Tsuyoshi Yamashita (Kanazawa Univ.), Mamoru Ogaki (EIZO Co.), Marina Katou, Kousuke Imamura, Yoshio Matsuda, Shigeru Sanada (Kanazawa Univ.) IE2014-57		 Image processing technology in medical field is attracting attention as a solution to realize improvement of diagnosis a... [more] IE2014-57
pp.45-50
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