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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2024-03-11 11:15 |
Tokyo | The Univ. of Tokyo (Primary: On-site, Secondary: Online) |
Discrimination between dementia groups and healthy elderlies based on time-series variations of functional connectivity Chisho Takeoka, Toshimasa Yamazaki (KIT), Yoshiyuki Kuroiwa, Kimihiro Fujino, Toshiaki Hirai (Teikyo), Hidehiro Mizusawa (NCNP)  MBE2023-70 |
Alzheimer’s disease is the most famous dementia in the world. Electroencephalography (EEG), which is excellent at time r... [more] | MBE2023-70 pp.9-12 |
| RISING (3rd) |
2023-10-31 13:00 |
Hokkaido | Kaderu 2・7 (Sapporo) | [Poster Presentation]
CLI Command Output Parser for Automation of Failure Diagnosis of Network Devices Keitaro Kaida (Osaka Univ.), Tatsuaki Kimura (Doshisha Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) |
With the rapid growth and diversification of communication services, networks operated by telecom carriers have become i... [more] | |
| US | 2023-02-28 16:35 |
Osaka | Kindai University (Higashi-osaka) | CNN classification of parametric images using moments of ultrasound images for quantitative diagnosis of liver fibrosis Akiho Isshiki (Chiba Univ.), Dar-In Tai (CGMH), Po-Hsiang Tsui (Chang Gung Univ.), Kenji Yoshida, Tadashi Yamaguchi, Shinnosuke Hirata (Chiba Univ.) US2022-82 |
The progression of diffuse liver disease and the therapeutic effect can be evaluated by the estimation of liver fibrosis... [more] | US2022-82 pp.34-39 |
| RISING (3rd) |
2022-10-31 13:00 |
Kyoto | Kyoto Terrsa (Day 1), and Online (Day 2, 3) | [Poster Presentation]
Feature Extraction Method From Device Command Outputs Toward Automation of Fault Diagnosis Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) |
The diversification and rapid spread of communication services have made networks operated by telecom companies extremel... [more] | |
| NS | 2022-10-05 10:45 |
Hokkaido | Hokkaidou University + Online (Primary: On-site, Secondary: Online) |
A Feature Extraction Method From Command Outputs of Network Devices Keitaro Kaida, Tatsuaki Kimura (Osaka Univ.), Hiroshi Yamauchi (SBKK), Tetsuya Takine (Osaka Univ.) NS2022-76 |
With the diversification and rapid growth of communication services, monitoring and management of networks have become i... [more] | NS2022-76 p.1 |
| US | 2022-09-20 13:50 |
Online | Online | Basic study of optimal training data creation conditions for computer-aided diagnosis using ultrasound images of breast tumors Makoto Yamakawa (SIT), Miho Kanda, Moe Ohshima (Kyoto Univ.), Takeshi Namita, Tsuyoshi Shiina (SIT) US2022-39 |
The quality of training data is important in the development of computer-aided diagnosis (CAD) that automatically detect... [more] | US2022-39 pp.10-13 |
| NS, SR, RCS, SeMI, RCC (Joint) |
2022-07-14 15:00 |
Ishikawa | The Kanazawa Theatre + Online (Primary: On-site, Secondary: Online) |
Network Diagnosis with Group Testing
-- Minimum Number of Measurements and Optimal Probes -- Fangyuan Xu, Shun-ichi Azuma, Ryo Ariizumi, Toru Asai (Nagoya Univ.) RCC2022-29 |
In a network system, some connection failures may occur over the links. The administrator has to detect such links as so... [more] | RCC2022-29 pp.54-56 |
| MI | 2022-01-26 10:13 |
Online | Online | [Short Paper]
Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53 |
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] | MI2021-53 pp.41-42 |
| MI | 2022-01-26 13:00 |
Online | Online | Relationship between Image Quality and Learning Effect in Color Laparoscopic Images Generation by Generative Adversarial Networks Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) MI2021-59 |
Improving of personal computer performance, it is possible for healthcare workers and related researchers to support for... [more] | MI2021-59 pp.59-64 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 09:00 |
Online | Online | Complexity analysis for temporal patterns of pupil diameters in neural model for ADHD Hiraku Kumano (CIT), Sou Nobukawa (CIT/NCNP), Aya Shirama (NCNP), Tetsuya Takahashi (KU), Shigenobu Toda (SU) NC2021-38 |
As major pathology of ADHD, overactivity of the locus coeruleus (LC) related to inattention are known. Moreover, pupil ... [more] |
NC2021-38 pp.37-42 |
| 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, 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 |
| PN | 2021-08-30 14:00 |
Online | Online | [Invited Lecture]
Optical Link Diagnosis Technology that Applies Deep Learning to DSP Data and its Implementation on an Open Platform Takafumi Tanaka, Tetsuro Inui, Shingo Kawai (NTT) PN2021-16 |
In order to reduce the operational expenditure (OPEX) of optical networks, researches on autonomous optical network oper... [more] | PN2021-16 p.28 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-16 14:55 |
Online | Online | [Invited Lecture]
Machine Learning based Automatic Command Control System for Fault Diagnosis of Communication Services Hiroshi Yamauchi (SoftBank), Tatsuaki Kimura (Osaka Univ.) RCC2021-40 NS2021-56 RCS2021-98 SR2021-40 SeMI2021-29 |
Due to the recent growth of various network services of telecommunication carriers, their communication networks have be... [more] | RCC2021-40 NS2021-56 RCS2021-98 SR2021-40 SeMI2021-29 pp.83-87(RCC), pp.124-128(NS), pp.104-108(RCS), pp.106-110(SR), pp.82-86(SeMI) |
| MI | 2021-07-09 11:00 |
Online | Online | [Short Paper]
Construction of Subtype Classifier for Malignant Lymphoma based on H&E-stained Images using Immuno-stainning Data Yuki Hirono (NIT), Noriaki Hashimoto (RIKEN), Kugler Mauricio, Tatsuya Yokota (NIT), Miharu Nagaishi (Kurume Univ.), Hiroaki Miyoshi, Koichi Oshima (Kurume Univ./JSP), Ichiro Takeuchi (NIT/RIKEN), Hidekata Hontani (NIT) MI2021-16 |
In pathological diagnosis of malignant lymphoma, a HE image is observed at first and then a set of immunostained images ... [more] | MI2021-16 pp.31-32 |
| SIP, CAS, VLD, MSS | 2021-07-05 13:00 |
Online | Online | Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism Kosuke Fukumori (TUAT), Noboru Yoshida, Hidenori Sugano, Madoka Nakajima (Juntendo Univ.), Toshihisa Tanaka (TUAT) CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3 |
Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaust... [more] | CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3 pp.11-15 |
| CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] | 2021-03-26 11:00 |
Online | Online | An Estimation Method of a Defect Types for Suspected Fault Lines in Logical Faulty VLSI Using Neural Networks Natsuki Ota, Toshinori Hosokawa (Nihon Univ.), Koji Yamazaki (Meiji Univ.), Yukari Yamauchi, Masayuki Arai (Nihon Univ.) CPSY2020-61 DC2020-91 |
Since fault diagnosis methods for specified fault models might cause misprediction and non-prediction, a fault diagnosis... [more] | CPSY2020-61 DC2020-91 pp.67-72 |
| MI | 2021-03-16 13:30 |
Online | Online | Effect of Improving Versatility of Lung Nodules Classification Model by Fine-Tuning Taku Ri, Tatsuya Yamazaki (Niigata Univ.) MI2020-72 |
In order to improve the survival rate of lung cancer patients, it is important to detect nodules at an early stage, but ... [more] | MI2020-72 pp.102-107 |
| MI | 2021-03-17 11:00 |
Online | Online | Optimal Design and Quality Assessment of Color Laparoscopic Super-Resolution Image by Generative Adversarial Networks Norifumi Kawabata (Tokyo Univ. of Science), Toshiya Nakaguchi (Chiba Univ.) MI2020-91 |
The Generative Adversarial Networks (GAN) is unsupervised learning enabled to transform according to data characteristic... [more] | MI2020-91 pp.186-190 |
| MI | 2021-03-17 13:45 |
Online | Online | Medical Image Style Translation by Adversarial Training with Paired Inputs Kazuki Fujioka (Kobe Univ.), Takashi Matsubara (Osaka Univ.), Kuniaki Uehara (Osaka Gakuin Univ.) MI2020-96 |
Medical image diagnosis by artificial intelligence requires a large amount of data for learning. However, preparing such... [more] | MI2020-96 pp.212-217 |
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