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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MI, MICT | 2023-11-14 13:00 |
Fukuoka | Brain Disease Classification Based on Brain MRI Images Using 3D-CNN Daisuke Hayashi, Akio Nagasaka, Yuji Mochizuki, Takayuki Hayashi (Hitachi), Takefumi Ueno (NHO Hizen Psychiatric Center)  MICT2023-29 MI2023-22 |
Schizophrenia and Alzheimer’s disease are brain diseases that cause structural changes in the brain. In this paper, we c... [more] | MICT2023-29 MI2023-22 pp.15-20 |
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| NC, MBE (Joint) |
2023-03-14 14:45 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
On detection of different finger movement by cortical current estimated from EEG and fMRI Masanori Takaichi, Simon Kojima (SIT), Natsue Yoshimura (Tokyo Inst. Tech.), Shin'ichiro Kanoh (SIT) MBE2022-64 |
We investigated whether it is possible to detect the intention to move body parts such as fingers by focusing on the hig... [more] | MBE2022-64 pp.27-32 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-22 15:20 |
Online | Online | A Note on Perceived Visual Content Estimation Based on Compressed Reconstruction Network Using Brain Signals While Gazing on Images Takaaki Higashi, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido University) |
In this paper, we propose a method to reconstruct a perceived image using brain signals obtained during gazing images. S... [more] | |
| 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 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2021-02-18 13:25 |
Online | Online | A Note on Estimation of Semantic Content Based on a Question Answering Model Using Brain Activity Data while Viewing Images
-- Improvement of Estimation Performance Based on Fine-tuning of the VQA model -- Saya Takada, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose a semantic content estimation method based on a question and answer generation model using bra... [more] | |
| 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 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-29 14:10 |
Online | Online | Construction of Hidden Markov Models for Brain Tumor Segmentation Takuya Honda, Yuta Nakahara, Matushima Toshiyasu (Waseda Univ.) SIP2020-13 BioX2020-13 IE2020-13 MI2020-13 |
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [more] | SIP2020-13 BioX2020-13 IE2020-13 MI2020-13 pp.61-66 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 14:55 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
A Note on Estimation of Image Categories Using Brain Activity While Viewing Images Based on MVBGM-MS Yusuke Akamatsu (Hokkaido Univ.), Ryosuke Harakawa (Nagaoka Univ. of Tech.), Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents multi-view Bayesian generative model for multi-subject fMRI data (MVBGM-MS) for accurate estimation ... [more] | |
| MICT, MI | 2018-11-06 18:00 |
Hyogo | University of Hyogo | A Study of an Age Estimation Method From Brain MRI Images Using 3D-CNN and Its Application Masaru Ueda, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MICT2018-57 MI2018-57 |
The statistical analysis of brain MR images indicates that the human brain atrophies during normal aging process. The ag... [more] | MICT2018-57 MI2018-57 pp.79-82 |
| PRMU, IE, MI, SIP | 2017-05-26 09:20 |
Aichi | An Age Estimation Method Using Brain Local Features of Brain MRI Images and Its Performance Evaluation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 |
It is known that brain tissues have age-related morphological changes through a set of statistical analysis using large... [more] |
SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 pp.67-70 |
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| SIS | 2016-12-08 17:10 |
Hiroshima | Hiroshima City Univ. | [Invited Talk]
MRI measurement of water diffusion in living body and its application for inferring anatomical structures Masutani Yoshitaka (Hiroshima City Univ.) SIS2016-41 |
Diffusion MRI data consists of diffusion-weighted images with several imaging parameters, enables us to infer microstruc... [more] | SIS2016-41 pp.71-72 |
| MI | 2016-07-25 15:15 |
Hokkaido | Tomakomai Civic Hall | A Study of an Efficient Method of Selecting Effective Brain Local Features for Age Estimation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical And Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2016-38 |
Estimating the age of a subject by evaluating brain morphological changes leads diagnostic support or early detection o... [more] |
MI2016-38 pp.13-18 |
| MI | 2015-03-02 16:36 |
Okinawa | Hotel Miyahira | Eliminations of dura maters from MR Images using probablistic atlas and graph cut technique Shin-ya Uto, Hidekata Hontani (NIT), Muneyuki Sakata (TMIG), Yuichi Kimura (Kinki Univ) MI2014-86 |
This study aims at proposing algorithm that liminate the dura maters in brain MR images accurately. Ordinary methods oft... [more] | MI2014-86 pp.151-155 |
| SP | 2015-01-22 12:30 |
Gifu | Juroku Plaza | [Invited Talk]
Neural decoding of self-motion perception Michiteru Kitazaki (Toyohashi Univ. of Tech.) SP2014-130 |
Human perceive their self-motion from visual information or optic flow. I review self-motion perception from optic flow,... [more] | SP2014-130 pp.19-23 |
| MBE, NC (Joint) |
2014-11-21 10:20 |
Miyagi | Tohoku University | Classification of finger movements using EEG Ryutaro Okushita, Natsue Yoshimura, Hiroyuki Kambara, Duk Shin, Abdelkader Nasreddine Belkacem, Yasuharu Koike (Tokyo Inst. Tech.) NC2014-25 |
Recently, It has been reported that classification the behavior and motor images, such as the wrist movements by using t... [more] | NC2014-25 pp.1-6 |
| MI | 2014-11-18 10:50 |
Hyogo | An Age Estimation Method Using Local Features of Brain MRI Images and Its Evaluation Chihiro Kondo, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2014-45 |
It is well known that brain tissues have age-related morphological changes through a set of statistical analysis using l... [more] | MI2014-45 pp.11-16 |
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| MI | 2014-01-26 13:30 |
Okinawa | Bunka Tenbusu Kan | 3-D Cerebral Sulci Registration of Neonatal Brain MRI Using Sulcal-Distribution Index Kento Morita (Univ. of Hyogo), Syoji Kobashi, Kei Kuramoto (Univ. of Hyogo/Osaka Univ.), Yuki Wakata, Kumiko Ando, Reiichi Ishikura (Hyogo College of Medicine), Tomomoto Ishikawa (Ishikawa Hospital), Shozo Hirota (Hyogo College of Medicine), Yutaka Hata (Univ. of Hyogo/Osaka Univ.) MI2013-65 |
MR image registration (IR) has been used in brain function analysis, voxel-based-morphometry, etc. The conventional IR m... [more] | MI2013-65 pp.53-58 |
| MI | 2013-01-25 13:10 |
Okinawa | Bunka Tenbusu Kan | Influence of MRI-based attenuation correction methods on quantitative analysis of brain PET Hiroshi Kawaguchi (NIRS), Asuka Tanigawa, Mikio Suga (Chiba Univ.), Yoshiyuki Hirano, Takahiro Shiraishi, Eiji Yoshida, Yasuyuki Kimura, Katsuyuki Tanimoto, Takayuki Obata, Hiroshi Ito, Taiga Yamaya (NIRS) MI2012-108 |
The quantitative capability is fundamental for PET in the human brain. Several attenuation correction methods for PET/MR... [more] | MI2012-108 pp.239-244 |
| MI | 2012-09-04 15:45 |
Tokyo | Univ. of Tokyo | [Special Talk]
Multiple channel information recording and analyzing system for surgical workflow analysis
-- System implementation and clinical application -- Takashi Suzuki, Kitaro Yoshimitsu, Yoshiyuki Konishi, Yoshihiro Muragaki, Hiroshi Iseki (TWMU) MI2012-46 |
Complete tumor removal and preservation of neural function are both important in brain tumor resection. In “intelligent ... [more] | MI2012-46 pp.35-39 |
| MI | 2012-01-20 11:25 |
Okinawa | Computerized Detection of Metastatic Brain Tumors in Brain MR Images. Tomomi Takenaga, Shigehiko Katsuragawa, Yoshikazu Uchiyama, Toshinori Hirai, Junji Shiraishi (Kumamoto Unuv.) MI2011-143 |
Accurate detection of the metastatic brain tumors is important for the decision for making treatment course of patients.... [more] | MI2011-143 pp.365-369 |
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