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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 30  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2023-12-08
09:10
Overseas Surakarta, Indonesia
(Primary: On-site, Secondary: Online)
Large-Scale Urban Mapping Using Earth Observation Data: A Systematic Review
Ahmad Luthfi Hadiyanto, Ahmad Maryanto, Muchammad Soleh, Farikhotul Chusnayah, Deni Kartika, Kurdianto (BRIN) SANE2023-66
Large-scale urban mapping using remote sensing data may provide detailed information represented as individual objects o... [more] SANE2023-66
pp.36-41
MI 2023-03-06
14:07
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Application of statistical shape modeling of whole lower limbs in the prediction of musculoskeletal shapes
Yuto Masaki, Yoshito Otake, Mazen Soufi, Yi Gu (NAIST), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ.), Takuma Miyamoto, Yasuhito Tanaka (Nara Medical Univ), Seiji Okada, Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST) MI2022-84
Musculoskeletal modeling of the whole lower limbs that reflects patient-specific anatomical features is important in bio... [more] MI2022-84
pp.57-62
SP, IPSJ-SLP, EA, SIP [detail] 2023-02-28
10:40
Okinawa
(Primary: On-site, Secondary: Online)
Image reconstruction with a diffusion model for robust image classification against unknown degradation
Teruaki Akazawa (Tokyo Metro. Univ.), Yuma Kinoshita (Tokai Univ.), Hitoshi Kiya (Tokyo Metro. Univ.) EA2022-83 SIP2022-127 SP2022-47
This paper presents an image reconstruction method with a diffusion model for robust image classification against image ... [more] EA2022-83 SIP2022-127 SP2022-47
pp.49-54
MI 2022-09-15
10:30
Kanagawa
(Primary: On-site, Secondary: Online)
Evaluation of Patient-specific musculoskeletal simulation using MRI images in multiple pose
Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2022-51
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] MI2022-51
pp.10-15
MI 2022-09-15
10:45
Kanagawa
(Primary: On-site, Secondary: Online)
Virtual Standing Position Transformation from Supine CT using Whole-body Upright CT Scanner
Tomoki Hakotani, Yoshito Otake, Mazen Soufi (NAIST), Masahiro Hashimoto, Yoshitake Yamada, Minoru Yamada, Yoichi Yokoyama (Keio Univ.), Keisuke Uemura (Osaka Univ.), Masaki Takao (Ehime Univ.), Nobuhiko Sugano (Osaka Univ.), Masahiro Jinzaki (Keio Univ.), Yoshinobu Sato (NAIST) MI2022-52
The modeling of human motion relies on the accurate representation of the deformations in the musculoskeletal geometry t... [more] MI2022-52
pp.16-19
MI 2022-01-27
10:22
Online Online Patient-specific musculoskeletal simulation using an elastic volume simulator VIPER and medical image-based modeling
Junya Ino, Yoshito Otake, Mazen Soufi (NAIST), Keisuke Uemura, Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2021-72
We aim at developing a patient-specific musculoskeletal simulation approach for predicting musculoskeletal behavior of m... [more] MI2021-72
pp.117-120
SANE 2021-11-12
14:50
Online Online GPR data processing methods based on extrem gradient boosting algorithm to detect the backfill grouting of shield tunnel
Xiongyao Xie, Li Zeng, Biao Zhou (Tongji Univ.) SANE2021-59
Shield tunnel method is currently the most important method for tunnel excavation in soft soil areas. With the construct... [more] SANE2021-59
pp.144-148
SIS 2021-03-04
09:40
Online Online Development of underwater sound wave propagation simulator handling sound source movement and element directivity
Kouhei Suzuki, Shingo Yoshizawa (Kitami Inst. of Tech.) SIS2020-37
Communication performance and position accuracy in underwater acoustic communication and localization are affected by so... [more] SIS2020-37
pp.11-14
IBISML 2020-03-10
13:00
Kyoto Kyoto University
(Cancelled but technical report was issued)
EM Algorithm for Mixture Models in Shape Analysis
Kazunori Iwata (Hiroshima City Univ.) IBISML2019-33
The mixture model is a well-known probabilistic model in statistical modeling to express a population that is composed o... [more] IBISML2019-33
pp.1-7
SIS 2019-12-12
13:30
Okayama Okayama University of Science Acoustic Propagation Modeling with Time Varying Elements for Simulations in Underwater Acoustic Communication
Shun Sakamoto, Kohei Suzuki, Shingo Yoshizawa (Kitami Inst. of Tech.), Tomoya Tsukui (IHI), Takashi Saito (Mitsubishi Electric TOKKI) SIS2019-23
Underwater acoustic communication is used for remote control and information transmission in remotely operated vehicle (... [more] SIS2019-23
pp.1-4
MI 2017-01-18
14:15
Okinawa Tenbusu Naha Analysis of fiber structure of skeletal muscles around the hip joint using CT images
Kohei Miyamoto, Yoshito Otake, Futoshi Yokota, Yuta Hiasa (NAIST), Min Suk Chung (Ajou Univ.), Masaki Takao, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MI2016-105
Analysis of muscle dynamics by biomechanical simulation is helpful in diagnosis and treatment planning in orthopedics. M... [more] MI2016-105
pp.127-131
MBE, BioX, NC 2015-10-25
17:30
Osaka Osaka Electro-Communication University Unified approach to face recognition and face modeling using augmented eigenface
Takeshi Shakunaga, Hisayoshi Chugan, Tsuyoshi Fukuda (Okayma Univ.) BioX2015-40 MBE2015-51 NC2015-35
Abstract A real-time face tracking and recognition system was proposed by Oka and Shakunaga [1], [2]. In their system, 2... [more] BioX2015-40 MBE2015-51 NC2015-35
pp.97-102
SIP, EA, SP 2015-03-03
09:00
Okinawa   [Poster Presentation] Image Interpolation based on Weighting Function of Gaussian
Takuro Yamaguchi, Yasuhiro Nakajima, Masaaki Ikehara (Keio Univ.) EA2014-105 SIP2014-146 SP2014-168
In this paper, we propose a new image interpolation method based on a 2-D piecewise stationary autoregressive (PAR) mode... [more] EA2014-105 SIP2014-146 SP2014-168
pp.181-185
MI 2013-09-13
14:15
Chiba   [Special Talk] Highly Accurate and Less-Invasive Diagnosis and Treatment for Diseases in Thoracoabdominal Organs
Hideaki Haneishi, Tadashi Yamaguchi, Ryoichi Nakamura, Mikio Suga, Toshiya Nakaguchi, Hiroshi Kawahira, Takashi Ohnishi (Chiba Univ.) MI2013-43
In hepato-biliary-pancreatic region, it is required to find a solid cancer formed in those organs and treat it less-inva... [more] MI2013-43
pp.31-34
SIP 2013-08-29
16:10
Tokyo Tokyo University of Agriculture and Technology [Tutorial Lecture] Tensor-Based Machine Learning: Modeling, Algorithms and Applications
Qibin Zhao, Andrzej Cichocki (RIKEN) SIP2013-73
Tensors are a generalization of vectors and matrices to higher dimensions that can naturally represent the multidimensio... [more] SIP2013-73
pp.35-40
ET 2013-03-29
12:40
Ehime   Modeling and Implementation of e-Syllabus based on Student's Workflow Analysis
Mizuho Ikeda, Keitaro Uchida, Tomohiro Tamura (Kwansei Gakuin Univ.) ET2012-88
In recent years, use of a Web syllabus has been accelerated in institutions of higher education. On the other hand, the ... [more] ET2012-88
pp.37-42
MI 2013-01-24
17:05
Okinawa Bunka Tenbusu Kan Automated segmentation of the upper digestive tract from abdominal contrast-enhanced CT data using hierarchical statistical modeling of organ inter-relations
Shunta Hirayama, Toshiyuki Okada, Masatoshi Hori, Noriyuki Tomiyama, Yoshinobu Sato (Osaka Univ.) MI2012-91
We have studied the automatic segmentation of multi-organ region from abdominal CT images ever. In previous work, we hav... [more] MI2012-91
pp.149-154
MI 2013-01-25
10:50
Okinawa Bunka Tenbusu Kan Automated recognition of the rectus abdominis muscle in CT images based on a virtual image-unfolding technique by the removal of the subcutaneous fat region
Naoki Kamiya (Toyota Nat'l Col. Tech.), Chisako Muramatsu, Xiangrong Zhou, Huayue Chen, Takeshi Hara, Hiroaki Hoshi, Hiroshi Fujita (Gifu Univ.) MI2012-99
We had proposed an automated method for recognizing skeletal muscle in torso X-ray CT images using skeletal positional i... [more] MI2012-99
pp.197-200
PRMU, SP 2012-02-09
11:00
Miyagi   Estimation of a User's Internal State before the First Input Utterance Using HMM with Non-verbal Information
Yuya Chiba (Tohoku Univ.), Masashi Ito (Totec.), Akinori Ito (Tohoku Univ.) PRMU2011-187 SP2011-102
This paper describes a method for estimating the internal state of the user of a spoken dialog system before his input u... [more] PRMU2011-187 SP2011-102
pp.7-12
MBE, NC
(Joint)
2011-11-25
13:00
Miyagi ECEI Departments, Graduate School of Engineering, Tohoku University Granger Causality between cortical areas in NIRS data
Masako Sugai, Masaharu Adachi (Tokyo Denki Univ.) NC2011-81
In grasping one hand, not only contralateral motor cortex but also ipsilateral motor cortex is activated. In this study ... [more] NC2011-81
pp.53-58
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