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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 #
CQ 2018-01-18
13:00
Tokyo NII [Invited Talk] Introduction of Neural Network Libraries/Console to Realize Efficient Deep Learning Development
Yoshiyuki Kobayashi, Takuya Narihira (Sony Corp.) CQ2017-91
 [more] CQ2017-91
pp.35-38
MI 2010-01-29
15:55
Okinawa Naha-Bunka-Tenbusu Liver Segmentation based on Shape Constrained Energy Minimization by a GraphCut
Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (Tokyo Univ. of Agr and Tech.), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-158
This paper proposes a liver segmentation from a non-contrast 3D CT volume based on shape constrained energy minimization... [more] MI2009-158
pp.443-446
MI 2009-07-15
17:20
Tokyo AIST Tokyo waterfront annex 11F meeting room #1 Metastatic Liver Tumor Segmentation from Plain and Contrast Enhanced Computed Tomography
Takuya Narihira, Akinobu Shimizu, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2009-54
This paper presents an automated metastatic liver tumor segmentation process from plane and portal venous CT volumes. Fi... [more] MI2009-54
pp.79-84
MI 2009-01-19
13:30
Overseas National Taiwan University [Poster Presentation] An extraction process of metastatic liver tumors in contrast enhanced CT images learned by a boosting algorithm
Takuya Narihira, Akinobu Shimizu, Daisuke Furukawa, Hidefumi Kobatake (TUAT), Shigeru Nawano (IUHW), Kenji Shinozaki (NKCC) MI2008-97
Since metastatic liver tumors in contrast enhanced CT images have wide variations in characteristics of CT values and lo... [more] MI2008-97
pp.175-180
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