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| Search Results: Conference Papers |
| Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| AIT, ME, MMS, IEICE-IE, IEICE-ITS [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] |
MMS2022-28 ME2022-53 AIT2022-28
pp.349-353 |
| IEICE-IE, IEICE-ITS, MMS, ME, 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] |
MMS2021-6 ME2021-6 AIT2021-6
pp.27-31 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, 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] |
MMS2018-33 HI2018-33 ME2018-33 AIT2018-33
pp.311-314 |
| ME, AIT, IEICE-IE [detail] |
2015-11-13
10:00 |
Kumamoto |
Sojo University Ikeda Campus |
Verification of high definition of low field MRI image using NHA
Masaya Hasegawa, Shigeki Hirobayashi, Tadanobu Misawa (Toyama Univ.), Koichi Mori (Toyama Univ.Hospital), Kyo Noguchi (Toyama Univ.) |
In late years the MRI that is a tomogram technology using a magnetic resonance phenomenon attracts its attention. MRI ac... [more] |
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| BCT, IEEE-BT |
2015-02-19
15:05 |
Mie |
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SAR evaluation for human body with implanted medical devices during MR imaging
Mahito Koizumi, Kazuyuki Saito, Koichi Ito (Chiba Univ.) |
Modern MRI systems employ high-frequency and high-powered radio frequency (RF) pulses. Given this, it is necessary to ev... [more] |
BCT2015-28
pp.13-16 |
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