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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DC | 2024-02-28 13:40 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Test Point Selection Method for Multi-Cycle BIST Using Deep Reinforcement Learning Kohei Shiotani, Tatsuya Nishikawa, Shaoqi Wei, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.)  DC2023-98 |
Multi-cycle BIST is a test method that performs multiple captures for each scan pattern, proving effective in reducing t... [more] | DC2023-98 pp.23-28 |
| SIS | 2023-12-08 14:10 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Improvement of Multi-task Training for Detection of Calcification Regions in Dental Panoramic Radiographs Kazuki Iwasaki, Mitsuji Muneyasu, Taito Murano, Soh Yoshida, Akira Asano (Kansai Univ.), Nanae Dewake, Nobuo Yoshinari (Matsumoto Dental Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2023-43 |
Carotid arteries on dental panoramic radiographs may show areas of calcification, a sign of vascular disease. Detection ... [more] | SIS2023-43 pp.105-110 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-17 09:20 |
Tottori | (Primary: On-site, Secondary: Online) |
Co-speech Gesture Generation with Variational Auto Encoder Shihichi Ka, Koichi Shinoda (Tokyo Tech) PRMU2023-29 |
Co-speech gesture generation is the study of generating gestures from speech. In prior works, deterministic methods lear... [more] | PRMU2023-29 pp.74-79 |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
An Evaluation of the Generalizability of Influencer Prediction Models between Social Networks in Different Domains Kota Tahara, Sho Tsugawa (ITF) |
Identifying influencers on social media is one of the important research issues. Various methods for identifying influen... [more] | |
| CAS, CS | 2023-03-01 09:30 |
Fukuoka | Kitakyushu International Conference Center (Primary: On-site, Secondary: Online) |
Modification and Comparison of Learning Sudoku with Convolutional Networks Koichiro Ishii, Hiroshi Tamura (Chuo Univ.) CAS2022-96 CS2022-73 |
Sudoku is a logic puzzle in which the number between 1 and 9 is to fill in the boxes of the 9x9 grid by using the number... [more] | CAS2022-96 CS2022-73 pp.1-5 |
| DC | 2023-02-28 14:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg (Primary: On-site, Secondary: Online) |
Test Point Selection Method Using Graph Neural Networks and Deep Reinforcement Learning Shaoqi Wei, Kohei Shiotani, Senling Wang, Hiroshi Kai, Yoshinobu Higami, Hiroshi Takahashi (Ehime Univ.) DC2022-87 |
It is well known that selecting the optimal test point to maximize the fault coverage is NP-hard. Conventional heuristic... [more] | DC2022-87 pp.27-32 |
| SIS | 2022-12-05 15:10 |
Osaka | (Primary: On-site, Secondary: Online) |
Application of Adversarial Training in Detection of Calcification Regions from Dental Panoramic Radiographs Sei Takano, Mitsuji Muneyasu, Soh Yoshida, Akira Asano (Kansai Univ.), Keiichi Uchida (Matsumoto Dental Univ. Hospital) SIS2022-28 |
Calcification regions that are a sign of vascular diseases may be observed on dental panoramic radiographs. The finding ... [more] | SIS2022-28 pp.26-31 |
| MI, MICT [detail] | 2021-11-05 10:00 |
Online | Online | [Short Paper]
Prediction of therapeutic response in Sjogren's syndrome using ultrasound images of parotid glands Kohei Fujiwara, Takeda Keita, Yukinori Takagi, Miho Sasaki, Sato Eida, Ikuo Katayama, Misa Sumi, Tomoya Sakai (Nagasaki Univ.) MICT2021-30 MI2021-28 |
The purpose of this study was to predict the response to treatment of SS from ultrasound (US) images of salivary glands ... [more] | MICT2021-30 MI2021-28 pp.15-16 |
| MI | 2021-07-09 14:00 |
Online | Online | Severity determination of chest CT data in tuberculosis patients using deep learning Tetsuya Asakawa, Riku Tsuneda (TUT), Kazuki Simizu, Takuyuki Komoda (THC), Masaki Aono (TUT) MI2021-19 |
The purpose of this study is to make accurate estimates for five labels (infiltrative, focal, tuberculoma, miliary, and ... [more] | MI2021-19 pp.42-46 |
| MI | 2020-01-29 13:20 |
Okinawa | OKINAWAKEN SEINENKAIKAN | [Poster Presentation]
Computerized Determination Method for Histological Classification of Breast Masses on Ultrasonographic Images Using CNN Features and Morphological Features Shinya Kunieda, Akiyoshi Hizukuri, Ryohei Nakayama (Ritsumeikan Univ.) MI2019-76 |
The purpose of this study was to develop a computerized determination method for histological classifications of masses ... [more] | MI2019-76 pp.53-55 |
| IMQ | 2019-12-20 16:20 |
Tokyo | A Preliminary Study on BTF Image Database Generation using Deep Learning Naoki Tada, Keita Hirai (Chiba Univ.) IMQ2019-10 |
A method using Bidirectional Texture Function (BTF) is one of the methods to reproduce a realistic image in Computer Gra... [more] | IMQ2019-10 pp.3-8 |
|
| IA | 2019-11-15 11:25 |
Tokyo | Kwansei Gakuin University, Tokyo Marunouchi Campus (Sapia Tower) | Sleep Apnea Detection Using Deep Convolutional Neural Network Hnin Thiri Chaw, Sinchai Kamolphiwong, Krongthong Wongsritrang (PSU) IA2019-39 |
Sleep apnea is the breathing disorder in which the cessation of the air flow occurs while sleeping. Deep convolutional n... [more] | IA2019-39 pp.67-71 |
| IA | 2019-09-05 14:05 |
Hokkaido | Hokkaido Univ. Humanities and Social Sciences Classroom Bldg, W102 | A Study on Estimating Communication Delays using Graph Convolutional Networks with Semi-Supervised Learning Taisei Suzuki, Yuichi Yasuda, Ryo Nakamura, Hiroyuki Ohsaki (Kwansei Gakuin Univ.) IA2019-10 |
In large-scale communication networks consisting of many end hosts and routers, accurate acquisition, measurement, and e... [more] | IA2019-10 pp.1-6 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 13:30 |
Hokkaido | Hokkaido Univ. | Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] | |
| MI | 2019-01-23 16:05 |
Okinawa | 3D Shape Reconstruction of Distal Forearm Bones from Radiography using Convolutional Neural Network Mototaka Kabashima, Yuta Hiasa, Yoshito Otake (NAIST), Ryoya Shiode, Tsuyoshi Murase (Osaka Univ.), Yoshinobu Sato (NAIST) MI2018-114 |
The 3D bone model extracted from the CT image is used for diagnosis or follow-up. However, the necessity of the CT acqui... [more] | MI2018-114 pp.235-238 |
|
| QIT (2nd) |
2018-11-26 13:30 |
Tokyo | The University of Tokyo | [Poster Presentation]
Graph Convolutional Network for Topological stabilizer code. Amarsanaa Davaasuren (Tokyo Univ.), Yasunari Suzuki (NTT), Keisuke Fujii (Kyoto Univ.), Yasunobu Nakamura (Tokyo Univ.) |
Quantum Error Correction (QEC) is vital for fault tolerant quantum computation and requires fast and high-performance de... [more] | |
| MI | 2018-09-28 10:35 |
Tokyo | Tokyo Women's Medical University | Preliminary study on extraction of intervertebral disks from videofluorographic images with convolutional neural network Ayano Fujinaka, Yuuki Saito (Univ. of Tsukuba), Kojiro Mekata (Kobe Red Cross Hospi.), Hotaka Takizawa, Hiroyuki Kudo (Univ. of Tsukuba) MI2018-32 |
This study aims to extract intervertebral disks of cervical vertebras from videofluorographic images in order to elucida... [more] | MI2018-32 pp.1-2 |
| MI | 2018-07-24 10:15 |
Iwate | aiina (Morioka, Iwate) | Classification of Corneal Shape Images by Machine Learning Yuji Ayatsuka (CRESCO), Kazutaka Kamiya (Kitasato Univ.), Yudai Kato, Yusuke Kudo (CRESCO), Fusako Fujimura, Nobuyuki Shoji (Kitasato Univ.), Yosai Mori, Kazunori Miyata (Miyata Eye Hospital) MI2018-22 |
Keratoconus is one of an ophthalmic disease on a cornea, which brings thinning and deformation in the center of cornea a... [more] | MI2018-22 pp.5-8 |
| PRMU, MI, IE, SIP | 2018-05-18 10:15 |
Gifu | Electronic Cleansing for CT Colonography using Deep Learning Rie Tachibana (NIT, Oshima College), Janne J. Nappi, Toru Hironaka, Hiroyuki Yoshida (MGH/HMS) SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 |
Although colonoscopy is considered as a standard procedure for colon cancer screening, CT colonography (CTC) has recentl... [more] | SIP2018-8 IE2018-8 PRMU2018-8 MI2018-8 pp.35-37 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 13:15 |
Hokkaido | Hokkaido Univ. | Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] | |
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