| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| ME |
2025-02-22
11:00 |
Online |
online |
Performance evaluation of Deep Learning based Image Reconstruction Models in Holographic MR Simultaneous Multi-slice Imaging
Haruki Takeichi, Masaki Furuta, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
This study investigated a reconstruction model and a deep learning architecture to improve the quality of reconstructed ... [more] |
ME2025-45
pp.17-20 |
| HI, IEICE-MVE, VRSJ, HI-SIG-DeMO, IPSJ-HCI, IPSJ-EC [detail] |
2024-06-07
14:10 |
Tokyo |
(Primary: On-site, Secondary: Online) |
fMRI adaptation to orientation of a reference frame by wide-view stimulation
Kanon Fujimoto (Kyoto Univ.), Atsushi Wada (NICT) |
Subjective vertical is influenced by visual reference frames, while its neural representation remains unknown. This stud... [more] |
HI2024-33
pp.17-21 |
| IEICE-EID, IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] |
2024-01-25
13:15 |
Kyoto |
(Primary: On-site, Secondary: Online) |
[Poster Presentation]
Reproduction of changes in membrane potential of neurons by synaptic devices using memristors
Kenta Yachida, Yoshiya Abe, Kazuki Sawai (Ryukoku Univ.), Tokiyoshi Matsuda (Kindai Univ./Ryukoku Univ.), Hidenori Kawanishi (Ryukoku Univ.), Mutsumi Kimura (Ryukoku Univ./NAIST) |
We attempted to replicate the changes in the membrane potential of neurons using thin-film neuromorphic devices that int... [more] |
|
| HI, IEICE-HIP, ASJ-H, VRPSY [detail] |
2022-02-28
13:30 |
Online |
on line |
[Invited Talk]
Glossiness perception
-- cues, reproduction methods using 3D images and quantitative evaluation, brain mechanism, and effects on facial attractiveness and the neural correlates --
Yuichi Sakano (NICT/Osaka Univ.) |
By virtue of the recent great advances in computer graphics technology, mechanisms for the perception of object material... [more] |
|
| ME |
2022-02-12
10:45 |
Online |
online |
Study on Deep Learning Reconstruction of MRI Complex Images Using Real-value CNN
Itona Fukatsu, Kazuki Yamato, Satoshi Ito (Utsunomiya Univ.) |
Application of compressed sensing has been applied to speed up the data acquisition time for MR imaging. In recent years... [more] |
ME2022-7
pp.25-27 |
| ME |
2021-07-16
14:00 |
Online |
Online |
Image Quality Improvements Using Half Fourier Encoding Method and Non-random Signal Under-sampling in CS-MRI Deep Learning Reconstruction
Yuta Miyamoto, Satoshi Ito (Utsunomiya Univ.) |
Compressed Sensing has the potential to reduce the scan time of MRI, and recently, deep learning has attract at tensions... [more] |
ME2021-63
pp.9-11 |
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, ME [detail] |
2020-05-28
13:40 |
Online |
Online |
|
(To be available after the conference date) [more] |
|
| IEICE-MI, IEICE-IE, IEICE-SIP, IEICE-BioX, IST, 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.) |
Brain tumor segmentation is one of the systems that a computer, which has attracted attention in recent years, assists d... [more] |
|
| HI, IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2020-02-27
14:55 |
Hokkaido |
Hokkaido Univ.
(Cancelled) |
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] |
MMS2020-16 HI2020-16 ME2020-44 AIT2020-16
pp.79-83 |