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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EST | 2024-01-26 13:25 |
Kyoto | Kyoto University ROHM Plaza (Primary: On-site, Secondary: Online) |
Separation of Signal and Multiple Reflected Light Components using Wavenumber Space Kaito Kobayashi, Seiya Kishimoto, Shuichiro Inoue, Shinichiro Ohnuki (Nihon Univ.)  EST2023-117 |
The structure of a biological sample can be visualized by irradiating light pulses and measuring the reflected light fro... [more] | EST2023-117 pp.102-107 |
| CQ, CBE (Joint) |
2024-01-25 16:50 |
Kumamoto | Kurokawa-Onsen (Primary: On-site, Secondary: Online) |
[Invited Talk]
Analysis of global state fluctuations in functional brain networks Makoto Fukushima (Hiroshima Univ.) CQ2023-59 |
The degree of synchronization of regional brain activities (i.e., functional connectivity) always fluctuates over time, ... [more] | CQ2023-59 p.43 |
| HIP | 2023-12-21 13:00 |
Miyagi | Research Institute of Electrical Communication | [Invited Talk]
Physical Exercise and Brain Health Toru Ishihara (Kobe Univ.) HIP2023-79 |
The prevalence of physically inactive lifestyles in high-income countries raises serious health concerns. A physically i... [more] | HIP2023-79 pp.19-20 |
| 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 |
|
| EST | 2023-01-26 11:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Analysis of Scattered Light for Biological Imaging Using Optical Pulses Kaito Kobayashi, Seiya Kishimoto, Shuichiro Inoue, Shinichiro Ohnuki (Nihon Univ.) EST2022-78 |
We aim to develop a superior biological imaging method using optical pulses and study time-resolved measurements of mous... [more] | EST2022-78 pp.26-30 |
| MBE | 2022-07-23 13:25 |
Online | Online | Spatiotemporal Analysis of Leg Movement Related Cortical Potential for Left - Right Discrimination Tomotaka Sato, Junichi Hori (Niigata Univ) MBE2022-13 |
Brain-computer interface (BCI) has been investigated as a means of communication for people with severe physical disabil... [more] | MBE2022-13 pp.6-8 |
| MBE, IEE-MBE | 2022-06-17 13:55 |
Online | Online | Development of Brain Machine Interface using EEG when recalling visual images Wataru Murata, Junichi Hori (NU) MBE2022-7 |
To assist the communication of motor-impaired, brain-machine interface (BMI) has been developed in recent years. In this... [more] | MBE2022-7 pp.2-4 |
| SeMI, IPSJ-DPS, IPSJ-MBL, IPSJ-ITS | 2022-05-26 14:39 |
Okinawa | (Primary: On-site, Secondary: Online) |
Relational model for video-content grouping based on brain-activity information Taisei Oishi, Ryusei Sugano, Ryoichi Shinkuma (SIT), Naoya Maeda (NTT DATA), Satoshi Nishida (NICT) SeMI2022-7 |
Prior research had focused on estimating people's preferences by focusing on brain responses during video viewing among ... [more] | SeMI2022-7 pp.32-35 |
| 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] | |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-21 10:55 |
Online | Online | A System for Estimating Individual Differences of Perceptual Information in the Brain via Brain-activity Prediction by Convolutional Neural Networks Kiichi Kawahata (Osaka Univ.), Antoine Blanc (NICT), Naoya Maeda (NTT Data), Shinji Nishimoto (Osaka Univ.), Satoshi Nishida (NICT) NC2021-31 |
Our brains shape individual differences of perception by responding to sensory inputs differently across individuals. Th... [more] | NC2021-31 pp.1-6 |
| 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] | |
| CQ (2nd) |
2021-01-21 13:30 |
Online | Online | [Invited Lecture]
Individual representation of creativity using large-scale brain dataset Takeshi Ogawa (ATR) |
Thanks to development of machine learning methods based on large-scale data, it has made huge impacts on not only image ... [more] | |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 09:50 |
Online | Online | Correction methods of blood volume change-derived noise in flavoprotein fluorescence imaging in vivo Shunya Okano, Ryunosuke Togawa, Kentaro Oka, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ) MBE2020-13 |
The flavoprotein autofluorescence imaging (FAI) is a functional optical imaging method of the brain that utilizes the gr... [more] | MBE2020-13 pp.5-8 |
| 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 |
| NC, MBE | 2019-12-06 13:25 |
Aichi | Toyohashi Tech | Numerical analysis of coil-induced electric field in micro magnetic stimulation and its evaluation on the basis of evoked neural responses Shunsuke Sugai, Jun Nishikawa, Takashi Tateno (Hokkaido Univ.) MBE2019-51 NC2019-42 |
Magnetic stimulation has widely attracted attention as a treatment for neurological diseases. In general, the size reduc... [more] | MBE2019-51 NC2019-42 pp.37-42 |
| HIP | 2019-03-09 15:30 |
Kochi | [Invited Talk]
Masaki Takeda (Kochi Univ. Tech.) HIP2018-85 |
How do we recall something from our memory? Underlying information processing for memory processing remains largely uncl... [more] | HIP2018-85 pp.19-20 |
|
| NC, MBE (Joint) |
2019-03-06 15:05 |
Tokyo | University of Electro Communications | Evaluation of resting brain activity change in short-term motor learning process using fNIRS Takumi Karasawa, Toshiki Kusano, Isao Nambu, Yasuhiro Wada (Nagaoka Univ. of Tech.) MBE2018-114 |
The resting brain activity is expected to be applied to rehabilitation. functional magnetic resonance imaging study conf... [more] | MBE2018-114 pp.141-146 |
| 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 |
| MBE, NC (Joint) |
2018-03-13 16:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | [Special Talk]
Bridging brain and daily life
-- Brain-computer interface and beyond -- Shin'ichiro Kanoh (Shibaura Inst. of Tech.) MBE2017-99 NC2017-67 |
Recently, the technique to determine human’s mental and physical states by extracting information from biosignals, e.g. ... [more] | MBE2017-99 NC2017-67 p.97(MBE), p.1(NC) |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:15 |
Hokkaido | Hokkaido Univ. | A note on classification of brain metastases from MR images based on machine learning Kento Sugata, Takahiro Ogawa, Miki Haseyama, Khin Khin Tha, Kohsuke Kudo, Hiroki Shirato (Hokkaido Univ.) |
This paper presents a method that classifies magnetic resonance (MR) images suffered from brain metastases. The proposed... [more] | |
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