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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI | 2024-03-04 10:46 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Automated musculoskeletal segmentation of torso CT images Sanaa Amina Gourine, Mazen Soufi, Yoshito Otake (NAIST), Yuto Masaki (NAIST-PSP Corporation), Yoko Murakami, Yukihiro Nagatani, Yoshiyuki Watanabe (Shiga Univ), Keisuke Uemura (Osaka Univ), Masaki Takao (Ehime Univ), Nobuhiko Sugano (Osaka Univ), Yoshinobu Sato (NAIST)  MI2023-70 |
Musculoskeletal segmentation (MSK) in CT is helpful for several applications, including body composition analysis, biome... [more] | MI2023-70 pp.122-126 |
| MI | 2024-03-04 14:12 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Anomaly Detection for Lung CT Images Using VQ-VAE with SVDD Zhihui Gao, Ryohei Nakayama, Aikiyoshi Hizukuri (Ritsumeikan Univ.), Shoji Kido (Oosaka Univ.) MI2023-80 |
In this study, VQ-VAE with SVDD for anomaly detection in CT images was constructed by introducing a support vector data ... [more] | MI2023-80 pp.158-159 |
| MI | 2023-03-07 16:50 |
Okinawa | OKINAWA SEINENKAIKAN (Primary: On-site, Secondary: Online) |
[Short Paper]
Extraction of kidney and renal tumors in a multi-temporal contrast-enhanced CT image database Dai Nishioka, Kento Nishihira, Kaito Koshino, Hidenobu Suzuki, Yoshiki Kawata (Tokushima Univ.), Yuki Kobari (TWMU), Atsushi Ikeda (U. Tsukuba), Noboru Niki (Medical Science Institute Inc.) MI2022-125 |
To develop a highly accurate differentiation method for malignant and benign tumors by precisely analyzing renal and ren... [more] | MI2022-125 pp.210-211 |
| CNR, BioX | 2023-03-01 14:15 |
Oita | (Primary: On-site, Secondary: Online) |
[Invited Talk]
A study on biometric performance evaluation using artificially generated sample images Mitsutoshi Himaga (JAISA) BioX2022-68 CNR2022-34 |
In order to evaluate the accuracy of biometric systems, it is necessary to collect biometric samples from a large number... [more] | BioX2022-68 CNR2022-34 pp.36-41 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:00 |
Hokkaido | Hokkaido Univ. | A note on text prompt tuning in cross-modal image retrieval for a specific database Huaying Zhang, Rintaro Yanagi, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
With the development of storage devices and the Internet, the number of users creating personal image databases has incr... [more] | |
| MSS, SS | 2023-01-10 14:55 |
Osaka | (Primary: On-site, Secondary: Online) |
An Implementation of Docker Image Generation Tool for User-PC Computing System Lynn Htet Aung, Nobuo Funabiki, Hein Htet, Xudong Zhou, Xu Xiang, Minoru Kuribayashi (Okayama Univ.) MSS2022-47 SS2022-32 |
As a low-cost, scalable, and high-performance computing platform, we have studied the user-PC computing system (UPC). To... [more] | MSS2022-47 SS2022-32 pp.13-18 |
| EMM | 2022-03-07 13:05 |
Online | (Primary: Online, Secondary: On-site) (Primary: Online, Secondary: On-site) |
[Poster Presentation]
A proposal of assist system for digital illustration drawing Satoshi Higuchi, Michiharu Niimi (KIT) EMM2021-92 |
In order to practice drawing illustrations, it is useful to have a system that provides drawing assistance and evaluatio... [more] | EMM2021-92 pp.1-6 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:35 |
Online | Online | Liver Tumor Segmentation by Using a Massive-Training Artificial Neural Network (MTANN) and its Analysis in Liver CT. Yuqiao Yang, Muneyuki Sato, Ze Jin, Kenji Suzuki (Tokyo Tech) ITS2021-33 IE2021-42 |
Based on a 3D massive-training artificial neural network (MTANN) combined with a Hessian-based ellipse enhancer, a small... [more] | ITS2021-33 IE2021-42 pp.49-54 |
| MI | 2022-01-26 11:31 |
Online | Online | Investigation of post implementation training for medical image reading support systems Chisako Muramatsu (Shiga Univ), Mizuho Nishio (Kobe Univ), Masahiro Yakami (Kyoto Univ), Takeshi Kubo (Tenri Hospital), Mikinao Ooiwa (Nagoya Medical Center), Hiroshi Fujita (Gifu Univ) MI2021-58 |
It is desirable to have robust image interpretation support systems that can obtain the equivalent accuracy for images a... [more] | MI2021-58 pp.55-58 |
| PRMU | 2021-12-17 15:30 |
Online | Online | [Short Paper]
Prediction Model of Early Recurrence of Hepatocellular Carcinoma Based on Deep Learning with Attention Module Weibin Wang (Ritsumeikan Univ.), Fang Wang, Qingqing Chen (Zhejiang Univ.), Yutaro Iwamoto (Ritsumeikan Univ.), Xianhua Han (Yamaguchi Univ.), Yen-wei Chen (Ritsumeikan Univ.) PRMU2021-59 |
Early recurrence of hepatocyte carcinoma (HCC) will still lead to a decrease in the survival rate of patients who have a... [more] | PRMU2021-59 pp.195-198 |
| MI, MICT [detail] | 2021-11-05 10:25 |
Online | Online | Performance Improvement of Alzheimer's Disease Identification Using Cognitive Function Test Scores Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MICT2021-31 MI2021-29 |
As the population ages, the prevalence of Alzheimer’s disease (AD) is expected to increase. AD causes progressive brain ... [more] | MICT2021-31 MI2021-29 pp.17-21 |
| MI | 2021-07-08 13:30 |
Online | Online | [Short Paper]
Performance comparison of multiple deep CNN methods for multiple organ detection in CT images Daiki Kanoh, Xiangrong Zhou, Takeshi Hara, Hiroshi Fujita (Gifu Univ.) MI2021-10 |
The scheme of automatically recognizing multiple organs and detecting their localizations in 3D CT images is required fo... [more] | MI2021-10 pp.7-10 |
| PRMU, IPSJ-CVIM | 2021-03-05 14:40 |
Online | Online | Retrieving Interesting Planetary Images based on Captions Hiya Roy, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2020-95 |
Planetary images are collected by sophisticated imaging devices onboard the orbiting or roving spacecraft. As the number... [more] | PRMU2020-95 pp.151-156 |
| IN, NS (Joint) |
2021-03-04 09:50 |
Online | Online | Person Tracking Method Based on Edge-to-Edge Cooperation for Specific Person Search Ryota Kawase, Masaki Murakami, Yoshihiko Uematsu, Satoru Okamoto, Naoaki Yamanaka (Keio Univ.) NS2020-125 |
The face recognition application is playing an active role in various cases such as unattended reception of visitors. Th... [more] | NS2020-125 pp.13-18 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 15:40 |
Online | Online | Texture Analysis and Evaluation of the Shitsukan Research Database Based on Luminance Information Norifumi Kawabata (Tokyo Univ. of Science) |
One of texture component on objects and graphics is luminance. By strength of luminance, human visual perception for cla... [more] | |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Relationship between subjective evaluation of emotional stimulation images and pupillary reaction Nijika Murokawa, Minoru Nakayama (Tokyo Tech) |
In this study, we investigated the relationship between the observer's subjective impression and the pupillary light ref... [more] | |
| EA, ASJ-H, EMM | 2020-11-20 13:30 |
Online | Online | [Poster Presentation]
Improved accuracy of QR code authenticity judgment algorithm Kengo Sato (TUS), Kitahiro Kaneda (OPU), Keiichi Iwamura (TUS) EA2020-43 EMM2020-58 |
E-mail: †{sato_kengo, kaneda}@sec.ee.kagu.tus.ac.jp, ‡iwamura@ee.kagu.tus.ac.jp Abstract Currently, the distribution... [more] |
EA2020-43 EMM2020-58 pp.117-122 |
| MI | 2020-09-03 14:55 |
Online | Online | Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31 |
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] | MI2020-31 pp.63-67 |
| LOIS, EMM, IE, IEE-CMN, ITE-ME, IPSJ-AVM [detail] | 2020-09-01 17:20 |
Online | Online | Study on automatic label masking method for plant specimen images using CTPN Depeng Zhang, Yasuhiko Higaki, Yasuo Sugai (Chiba Univ.) LOIS2020-8 IE2020-20 EMM2020-32 |
In this study, the image processing required for registration of the Haginiwa plant specimen image database in c-arc. Si... [more] | LOIS2020-8 IE2020-20 EMM2020-32 pp.19-24 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:30 |
Kyoto | (Cancelled but technical report was issued) |
Faster Approximate Nearest Neighbor Search using Label Information of Images Onur Guler, Yusuke Matsui, Yoichi Sato (UTokyo) PRMU2019-85 |
Image retrieval systems commonly assume that the query images have the same distribution with the searched database. How... [more] | PRMU2019-85 pp.101-106 |
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