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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IE, MVE, CQ, IMQ (Joint) [detail] |
2024-03-15 10:10 |
Okinawa | Okinawa Sangyo Shien Center (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 (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) (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 | [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 (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 (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 (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 (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 (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. | 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 | (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 | (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 (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 | 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 | 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 | [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 |
| RECONF | 2021-06-08 15:45 |
Online | Online | A Case for FPGA Implementation of Deep Neural Network Based 2D Point Cloud Registration Keisuke Sugiura, Hiroki Matsutani (Keio Univ.) RECONF2021-5 |
(To be available after the conference date) [more] | RECONF2021-5 pp.20-25 |
| MI | 2021-03-16 14:00 |
Online | Online | Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74 |
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] | MI2020-74 pp.112-117 |
| MI | 2021-03-16 16:15 |
Online | Online | Pre-operative Head CT and Pathological Image Registration using Normalized Cross-Correlation and Dice coefficient Yukinobu Matsuoka, Kento Morita (Mie Univ.), Daisuke Takeda, Takumi Hasegawa (Kobe Univ. Hospital), Tetsushi Wakabayashi (Mie Univ.) MI2020-81 |
The radiation therapy to oral cancer sometimes causes the osteoradionecrosis of jaws which is know as a refractory disea... [more] | MI2020-81 pp.144-149 |
| MI | 2021-03-17 10:45 |
Online | Online | [Short Paper]
Preliminary study for improving the performance of abdominal multi-phase CT image registration based on 3D deep CNN with a CycleGAN Ryotaro Fuwa, Xiangong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2020-90 |
Deep learning is expected to be an approach to solve the problem of accurate medical image alignment. Recently, VoxelMor... [more] | MI2020-90 pp.182-185 |
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