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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 239  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, VRSJ-SIG-MR, MVE 2025-01-22
11:00
Fukuoka (Fukuoka, Online)
(Primary: On-site, Secondary: Online)
PRMU2024-41 (To be available after the conference date) [more] PRMU2024-41
pp.44-48
MICT, MI 2024-12-05
09:20
Osaka Jikei University of Health Care Sciences (Osaka) Measurement of pelvic anatomical parameters from a single plain radiograph using dual-face depth-map estimation
Daisuke Watanabe, Yi Gu, Yoshito Otake (NAIST), Keisuke Uemura (Osaka Univ.), Mazen Soufi (NAIST), Masaki Takao (Ehime Univ.), Hugues Talbot (Univ. Paris-Saclay), Seiji Okada, Nobuhiko Sugano (Osaka Univ.), Yoshinobu Sato (NAIST) MICT2024-28 MI2024-26
We have previously developed a system that predicts depth maps―where pixel values represent the distance from the X-ray ... [more] MICT2024-28 MI2024-26
pp.1-4
SITE, LOIS, ISEC 2024-11-14
11:45
Fukuoka (Fukuoka) Analysis of origin-destination statistics for mobile phones using location registration information from mobile phone operators
Yoichi Midorikawa, Takuya Nagata (SBKK), Masatsugu Ichino, Hiroshi Yoshiura (UEC), Hideki Yoshii (SBKK) ISEC2024-66 SITE2024-63 LOIS2024-30
This study aims to explore methods for visualizing potential relationships between prefectures and between municipalitie... [more] ISEC2024-66 SITE2024-63 LOIS2024-30
pp.23-28
NS 2024-10-11
10:25
Tokushima Tokushima University + Online (Tokushima, Online)
(Primary: On-site, Secondary: Online)
A Study on Dynamic Generation of Digital Twin by Gamified 3D Mobile Crowdsensing
Kenta Hasegawa, Tatsuya Kase, Kaito Watanabe, Takumi Miyoshi, Taku Yamazaki (SIT) NS2024-111
To realize a smart city, utilizing a city-scale digital twin, which virtually reproduces the urban environment, is essen... [more] NS2024-111
p.110
IE, MVE, CQ, IMQ
(Joint) [detail]
2024-03-15
10:10
Okinawa Okinawa Sangyo Shien Center (Okinawa, Online)
(Primary: On-site, Secondary: Online)
A proposal of fast and robust method for point cloud registration using graph matching
Shiori Maki, Kenji Kanai, Jiro Katto (Waseda Univ.) IMQ2023-69 IE2023-124 MVE2023-98
In recent years, LiDAR and RGBD cameras have been widely used to capture 3D spaces by point clouds. In order to update s... [more] IMQ2023-69 IE2023-124 MVE2023-98
pp.307-312
MI 2024-03-03
10:05
Okinawa OKINAWAKEN SEINENKAIKAN (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Post-hoc Rotational Equivariantization of Large Scale Neural Network Model and Its Application
Kotaro Ogawa, Toyohiro Maki, Hidekata Hontani (NIT) MI2023-35
In this study, we propose a rigid body registration method that works even for spatial deviations that involve large rot... [more] MI2023-35
pp.19-20
IBISML 2023-09-08
11:20
Osaka Osaka Metropolitan University (Nakamozu Campus) (Osaka, Online)
(Primary: On-site, Secondary: Online)
Shape registration based on geodesic distance
Osamu Hirose (Kanazawa Univ.) IBISML2023-25
Coherent point drift, a widely recognized technique for non-rigid registration, which involves deforming one shape to ma... [more] IBISML2023-25
pp.1-7
MI 2023-07-03
13:00
Miyagi Tohoku Univ. Sakura Hall (Miyagi) [Special Talk] Transition of Medical Imaging
Koichi Ito (Tohoku Univ.) MI2023-10
Over the past decade, research in medical image processing has dramatically changed. In particular, feature extraction u... [more] MI2023-10
p.11
MI 2023-03-06
09:18
Okinawa OKINAWA SEINENKAIKAN (Okinawa, Online)
(Primary: On-site, Secondary: Online)
[Short Paper] FUSE-2, Aided Diagnosis Method for Dementia using Cross-Modality Translation with Alignment by Deep Learning
Kodai Yamashita, Souta Okabe, Hiroyuki Kudo (Univ. of Tsukuba) MI2022-73
The diagnosis of cognitive impairment can be performed using functional imaging techniques such as PET and SPECT, which ... [more] MI2022-73
pp.3-4
MI 2023-03-06
13:54
Okinawa OKINAWA SEINENKAIKAN (Okinawa, Online)
(Primary: On-site, Secondary: Online)
Prediction of missing tooth shape from dental 3D scan data for automated dental treatment planning
Ryota Nakatani (NAIST), Yuto Masaki (NAIST/PSP), Yoshito Otake (NAIST), Tomoko Ikawa, Yuko Shigeta, Takuya Kihara, Shuji Shigemoto, Takumi Ogawa (Tsurumi Univ.), Mazen Soufi, Yoshinobu Sato (NAIST) MI2022-83
Although dental CAD/CAM systems have contributed to dental treatment, it is difficult for current systems to design toot... [more] MI2022-83
pp.52-56
MI 2023-03-06
14:07
Okinawa OKINAWA SEINENKAIKAN (Okinawa, Online)
(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
MI 2023-03-06
14:20
Okinawa OKINAWA SEINENKAIKAN (Okinawa, Online)
(Primary: On-site, Secondary: Online)
A study on estimation of blood vessel regions from laparoscopic videos using preoperative image information
Keigo Enomoto, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute of Tech.), Masahiro Oda (Nagoya Univ.), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya Univ./NII) MI2022-85
This paper describes an automatic estimation method of blood vessel regions from laparoscopic videos using preoperative ... [more] MI2022-85
pp.63-68
IN, NS
(Joint)
2023-03-02
15:20
Okinawa Okinawa Convention Centre + Online (Okinawa, Online)
(Primary: On-site, Secondary: Online)
High-presence communication through Local 5G ultra-low latency transmission of RGBD images
Ryota Takatsuki, Akihiro Nakao (Tokyo Univ.) NS2022-194
In recent years, the spread of international collaboration and the physical limitations imposed by the new coronavirus p... [more] NS2022-194
pp.157-162
IMQ 2022-12-16
14:55
Chiba Nishi-Chiba Campus, Chiba Univ. (Chiba) Development of a Breast Cancer Surgery Support System with Stable MRI Image Superimposition by Colorization of Fiducial Markers
Mizuki Hattori, Takaya Oguchi, Hiroshi Fujimoto (Chiba Univ.), Yoshihiro Kuroda (Univ. of Tsukuba), Katsuhiro Nasu, Yukihiro Nomura, Hideki Hayashi, Toshiya Nakaguchi (Chiba Univ.) IMQ2022-16
Magnetic Resonance Imaging (MRI) is used to determine the extent of resection in breast cancer surgery, but tumor resect... [more] IMQ2022-16
pp.7-11
MI 2022-07-09
10:30
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
Non-rigid registration method for longitudinal chest CT images in Covid-19
Yuma Iwao (QST), Naoko Kawata, Yuki Segiguchi, Hideaki Haneishi (Chiba Univ) MI2022-41
In time series analysis of the lungs, a non-rigid registration method that compensates for differences in respiratory st... [more] MI2022-41
pp.34-38
MI 2022-07-09
15:40
Hokkaido (Hokkaido, Online)
(Primary: On-site, Secondary: Online)
CT Volume Registration on X Ray Image Using 3D Reconstruction Network
Pragyan Shrestha, Chun Xie, Hidehiko Shishido (Univ. of Tsukuba), Yuichi Yoshii (Tokyo Medical Univ.), Itaru Kitahara (Univ. of Tsukuba) MI2022-48
In this research, we propose a novel method for registering X-ray images to CT volumes by reconstructing 3D point clouds... [more] MI2022-48
pp.61-65
SIP, BioX, IE, MI, ITE-IST, ITE-ME [detail] 2022-05-20
17:00
Kumamoto Kumamoto University Kurokami Campus (Kumamoto, Online)
(Primary: On-site, Secondary: Online)
Deformable registration of 3D medical images with Deep Residual UNet
Taiga Nakamura, Yuki Sato, Hiroyuki Kudo, Hotaka Takizawa (Univ. of Tsukuba) SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
(To be available after the conference date) [more] SIP2022-30 BioX2022-30 IE2022-30 MI2022-30
pp.156-160
ICM 2022-03-04
16:50
Online Online (Online) An Effective Location Registration Method under Too Many User Equipments in IoT -- Classification of Home Memories and Priority Queuing --
Takashi Satake (NTT) ICM2021-60
As the communication mode which expected to improve system throughput by omitting the specific means to get transmit rig... [more] ICM2021-60
pp.96-99
MI 2022-01-26
13:39
Online Online (Online) Deep Learning based 2D/3D deformable Image Registration for Abdominal Organs
Ryuto Miura, Megumi Nakao, Mitsuhiro Nakamura, Tetsuya Matsuda (Kyoto Univ.) MI2021-62
2D/3D image registration is a problem that solves the deformation and alignment of a pre-treatment 3D image to a 2D proj... [more] MI2021-62
pp.70-75
MI 2022-01-26
14:05
Online Online (Online) [Short Paper] Joint Learning for Multi-Phase CT Image Registration and Automatic Recognition of Anatomical Structures Based on a Deep Neural Network
Ryotaro Fuwa, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-64
Computer-aided diagnosis (CAD) systems require image registration and automatic recognition of anatomical structures on ... [more] MI2021-64
pp.82-85
 Results 1 - 20 of 239  /  [Next]  
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