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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 36  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN 2023-01-19
13:25
Aichi Aichi Industry & Labor Center
(Primary: On-site, Secondary: Online)
Segmented file delivery method by mobile APs using a combination of overhearing and transmission rate control
Yuya Fujimoto, Hiroyasu Obata (Hirosima City Univ.), Tutomu Murase, Yohei Hasegawa (Nagoya Univ.), Kenji Ishida (Hirosima City Univ.) IN2022-57
In the event of a large-scale disaster, there is a possibility that the communication infrastructure may not work proper... [more] IN2022-57
pp.33-38
MI 2020-09-03
11:30
Online Online [Short Paper] Automatic Segmentation of Liver Tumor in Multi- phase CT Images by Attention Mask R-CNN
Ryo Hasegawa, Yutaro Iwamoto (Rits Univ.), Lanfen Lin, Hongjie Hu (Zhejiang University), Yen-Wei Chen (Rits Univ.) MI2020-25
Tumor detection and segmentation are essential pretreatment steps in computer-aided diagnosis of liver tumors. In this s... [more] MI2020-25
pp.35-38
NS, IN
(Joint)
2017-03-03
11:00
Okinawa OKINAWA ZANPAMISAKI ROYAL HOTEL Analysis of Segmented File Download Methods using PR-SCTP in Saturated Flow Cases -- Relation between Back-off Duration and Control Parameters on Servers --
Kazuya Takeda, Junichi Funasaka, Kenji Ishida (Hirosima City Univ.) NS2016-193
On the network where packets are often lost due to data-link errors like wireless one, a segmented file download method ... [more] NS2016-193
pp.205-210
MI 2016-07-26
10:30
Hokkaido Tomakomai Civic Hall Automatic blood vessel-based liver segmentation through the portal phase CT
Ahmed Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Tokushima University), Gen Iinuma (National cancer center hospital) MI2016-41
Blood vessel (BV) has showed high performance at liver segmentation achieving rank 1 on sliver07. This method was semi-a... [more] MI2016-41
pp.29-34
ICM 2016-07-07
13:10
Hokkaido   [Encouragement Talk] Playout Buffer Control Based on Throughput History Data for Robust and Energy-Friendly Mobile Video Delivery
Sakiko Takenaka, Kenji Kanai, Jiro Katto (Waseda Univ.), Tsutomu Murase (Nagoya Univ.) ICM2016-8
Considering mobile throughput fluctuation and playout buffer control is important to provide robust and energy-friendly ... [more] ICM2016-8
pp.1-6
NS, IN
(Joint)
2016-03-04
13:50
Miyazaki Phoenix Seagaia Resort Evaluation on Required Time and Arrival Order of Blocks for Segmented File Downloading Methods Using PR-SCTP
Kazuya Takeda, Funasaka Junichi (Hirosima City Univ.) NS2015-238
To yield better performance on highly lossy networks, a segmented file download method composed of both Time-to-Live(TTL... [more] NS2015-238
pp.405-410
IN 2015-10-16
13:30
Osaka Osaka University Performance Enhancement of Segmented File Download Method Using PR-SCTP with Suitable Control Parameters
Kazuya Takeda, Funasaka Junichi (Hirosima City Univ.) IN2015-59
To yield better performance on highly lossy networks, a segmented file download method composed of both Time-to-Live (TT... [more] IN2015-59
pp.35-40
MI 2015-07-14
14:30
Hokkaido Sun Refle Hakodate Liver Segmentation Using Iterative Probabilistic Atlas and Template Matching Technique
Yingbo LI, Chunhua Dong, Tomoko Tateyama, Yen-Wei Chen (Ritsumeikan Univ) MI2015-34
Accurate segmentation of abdominal organs is an important step for understanding the human body anatomical structure in ... [more] MI2015-34
pp.13-17
PRMU, MI, IE, SIP 2015-05-15
14:30
Mie   Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset
Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki (Tokushima Univ.), Mitsuo Satake (National Cancer Center Hospital East), Noriyuki Moriyama (Tokyo Midtown Clinic), Toru Utsunomiya, Mitsuo Shimada (Tokushima Univ.) SIP2015-24 IE2015-24 PRMU2015-24 MI2015-24
Blood vessel has showed high performance at liver segmentation (rank 1 on the official website for liver segmentation). ... [more] SIP2015-24 IE2015-24 PRMU2015-24 MI2015-24
pp.127-132
MI 2014-09-02
14:40
Tokyo The Institute of Statistical Mathematics Automatic blood vessel-based liver segmentation through the portal phase abdominal CT dataset
Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Mitsuo Shimada (Univ. of Tokushima) MI2014-40
Blood vessel (BV) based liver segmentation has showed high performance [1] achieving rank 1 on sliver07 (the official we... [more] MI2014-40
pp.27-31
MI 2014-01-26
13:30
Okinawa Bunka Tenbusu Kan Automatic segmentation of multiple organ regions from 3D CT images using GrabCut and organ detection
Takaaki Ito, Xiangrong Zhou, Takeshi Hara (Gifu Univ.), Huiyan Jiang (Northeastern Univ.), Ryujiro Yokoyama, Huayue Chen (Gifu Univ.), Masayuki Kanematsu (Gifu Univ Hospital), Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2013-61
Automatic segmentation of organs from CT images is one of very important issues in developing. GraphCut is useful for th... [more] MI2013-61
pp.31-36
MI 2013-11-07
14:50
Hiroshima   Liver Segmentation from 3D CT Images using Superpixel
Keisuke Hayata, Jun Ohmiya, Satoshi Kondo (Panasonic Healthcare), Tsuyoshi Kouyama, Tomoaki Takemura (Panasonic Medical Solutions) MI2013-52
This paper describes an algorithm of liver region segmentation from CT images using the region-growing algorithm and SLI... [more] MI2013-52
pp.33-38
MI 2013-01-25
13:10
Okinawa Bunka Tenbusu Kan Research on Automatic Liver Region Detection from Multi-Slice Abdominal CT Images
Michio Koga, Joji Honda, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe (Kagoshima Univ.) MI2012-110
In the diagnosis of liver affection of cirrhosis and hepatocellular carcinoma,etc,
the CT Images are generally used.
... [more]
MI2012-110
pp.249-254
MI 2012-01-20
11:25
Okinawa   Classification of Liver Segments based on Blood Vessel Information using the Portal Phase of a CT Dataset
Ahmed S. Maklad, Mikio Matsuhiro, Hidenobu Suzuki, Yoshiki Kawata, Noboru Niki, Noriyuki Moriyama, Toru Utsunomiya, Mitsuo Shimada (Univ. of Tokushima) MI2011-145
At planning of liver transplantation, classification of liver segments can be helpful for surgeons. We propose a method ... [more] MI2011-145
pp.377-382
MI 2012-01-20
11:25
Okinawa   Detection of the liver hemangioma from 3D abdominal CT images by using local intensity features and multi-class classifier
Yoshitaka Sakamoto, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Shigeru Nawano (IHW), Kensaku Mori (Nagoya Univ) MI2011-146
In this paper, we propose a method for detecting hemangioma from four-phases contrasted 3D abdominal CT images.
In our ... [more]
MI2011-146
pp.383-388
MI 2011-07-13
11:00
Hokkaido Hokkaido University Extraction of Liver Volumetry based on Blood Vessel Anatomy from Portal Phase CT Dataset
Ahmed S. Maklad, Mikio Matsuhiro, Hidenori Suzuki, Yoshiki Kawata, Noboru Niki, Toru Utsunomiya, Mitsuo Shimada (Univ. of Tokushima) MI2011-43
At liver surgery planning stage, extraction of liver volumetry would be helpful for surgeons. Main problem at liver extr... [more] MI2011-43
pp.55-59
PRMU, MVE, IPSJ-CVIM [detail] 2011-01-20
09:50
Shiga   3D Visualization of Liver and Its Vascular Structures and Surgical Planning System
Tomoko Tateyama, Tsukasa Shindo (Ritsumeikan-univ), Amir Hossein Foruzan (Univ. of Tehran), Shinya Kohara, Motoi Kinishi, Chen-Lun Lin, Yu Masuda (Ritsumeikan-univ), Masaki Kaibori, Masanori Kon (Kansai Medical Univ.), Yen-Wei Chen (Ritsumeikan-univ) PRMU2010-155 MVE2010-80
Computer Assisted Diagnosis/Surgery systems provide an indisputable effect on the diagnosis and
surgery of hepatic dise... [more]
PRMU2010-155 MVE2010-80
pp.33-38
MI 2011-01-20
11:30
Okinawa Naha-Bunka-Tembusu Development of Liver Vessel Registration Method for Comparative Reading of Liver CT Images
Teruhiko Kinoshita, Shota Kimura, Junichi Hasegawa (Chukyo Univ), Kenji Shinozaki (Kyushu Cancer Center), Shigeru Nawano (IUHW) MI2010-104
In this paper, a method for image registration for comparative reading of liver CT images is presented.
One of importa... [more]
MI2010-104
pp.121-125
MI 2010-01-28
11:15
Okinawa Naha-Bunka-Tenbusu Computer aided surgery system for liver transplantation using contrast enhanced CT images
Ahmed S. Maklad, Yoshifumi Kishi, Yoshiki Kawata, Noboru Niki, Masanori Nishioka, Mitsuo Shimada, Hiromu Nishitani (Univ. of Tokushima.) MI2009-82
Liver transplantation surgery is used as a final treatment option for those people with serious liver diseases. Extracti... [more] MI2009-82
pp.41-46
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
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