Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MI |
2023-09-08 11:20 |
Osaka |
(Primary: On-site, Secondary: Online) |
A Study on Identifying Gender Differences Using Deep Learning from Retinal Fundus Images Shota Tsutsui (Waseda Univ.), Ichiro Maruko, Moeko Kawai (TWMU), Yoichi Kato, Jun Ohya (Waseda Univ.) MI2023-17 |
Previous studies show that a properly designed and trained deep learning algorithm is capable to identify the gender of ... [more] |
MI2023-17 pp.8-11 |
MI |
2022-01-27 15:22 |
Online |
Online |
Investigation on Blood Vessels Segmentation from Images of Mouse's Cranial Window Based on Deep Learning Yunheng Wu, Masahiro Oda, Yuichiro Hayashi (Nagoya Univ.), Takanori Takebe (TMDU), Kensaku Mori (Nagoya Univ.) MI2021-84 |
In this paper, we utilized the U-Net for blood vessels segmentation from stereo microscope images of mouse's cranial win... [more] |
MI2021-84 pp.174-179 |
WIT |
2021-06-01 14:30 |
Online |
Online |
An examination of interactive whiteboard for low vision that supports visual recognition of board information using laser retina imaging Hisayuki Tatsumi, Noriyuki Horie (Tsukuba Univ. of Tech.), Yasuyuki Murai (Nihon Pharma. Univ.), Makoto Kobayashi (Tsukuba Univ. of Tech.) WIT2021-7 |
Of the two major visual behaviors for low vision students in school learning, reading a textbook is possible by bringing... [more] |
WIT2021-7 pp.32-37 |
HIP, VRSJ |
2021-02-19 16:25 |
Online |
Online |
Development and application of a highly sensitive color vision system Masatoshi Kitaguchi, Sayumi Tsuyuguchi, Miwa Hashizume, Ayuka Kato, Tomoyuki Naito, Hiromichi Sato (Osaka Univ.) HIP2020-91 |
Dystrophinopathy is a progressive intractable disease that is caused by an abnormality in the gene for the causative pro... [more] |
HIP2020-91 pp.78-83 |
HIP |
2020-12-22 14:00 |
Online |
Online |
Development of a highly sensitive color vision inspection system Masatoshi Kitaguchi, Tomoyuki Naito, Hiromichi Sato (Osaka Univ.) HIP2020-58 |
In this study, we developed two systems that can easily, quickly, and simultaneously test differences in both hue and br... [more] |
HIP2020-58 pp.25-28 |
SIS |
2020-03-05 14:20 |
Saitama |
Saitama Hall (Cancelled but technical report was issued) |
Data Normalization for Shape Classification of Retinal Veins with SOM Akimi Inoue, Hiroaki Koga (NIT,KC) SIS2019-42 |
The Diagnosis of arteriosclerosis in fundus based on the blood vessels shapes such as dents and distortions.
For automa... [more] |
SIS2019-42 pp.29-34 |
MI |
2020-01-29 13:20 |
Okinawa |
OKINAWAKEN SEINENKAIKAN |
[Short Paper]
Retinal nerve fiber layer analysis on fundus images using CNN trained with OCT data Ryusuke Watanabe (Gifu Univ.), Chisako Muramatsu (Shiga Univ.), Akira Sawada, Xiangrong Zhou (Gifu Univ.), Yuji Hatanaka (USP), Takeshi Hara, Tetsuya Yamamoto, Hiroshi Fujita (Gifu Univ.) MI2019-80 |
Glaucoma is the first leading cause of blindness in Japan. However, glaucoma only has a few warning signs or symptoms. T... [more] |
MI2019-80 pp.71-72 |
NC, MBE (Joint) |
2019-03-05 15:00 |
Tokyo |
University of Electro Communications |
On the spatiotemporal information contained in spike responses of mouse retina ganglion cells Yuki Kashiwagi, Koji Yamamoto, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2018-99 |
Information in the visual scene projected on the retina is encoded into the digital-like electrical signal called “spike... [more] |
MBE2018-99 pp.65-70 |
MI |
2019-01-22 14:35 |
Okinawa |
|
Research on macular analysis based on OCT angiography image analysis Shinnosuke Yamaoka, Shinya Fukumoto, Masayuki Kashima, Kiminori Sato, Mutsumi Watanabe, Hideki Shiihara, Syozo Sonoda, Taiji Sakamoto (Kagoshima Univ.) MI2018-81 |
The purpose of this study is to ascertain whether the complexity of the shape of macular region obtained from OCT angiog... [more] |
MI2018-81 pp.87-92 |
MI |
2019-01-23 10:30 |
Okinawa |
|
[Short Paper]
Investigation on Versatility of Automatic Detection of Microaneurysms in Retinal Image by Using Deep Learning Mitsuhiro Miyashita, Yuji Hatanaka, Kazunori Ogohara (Univ. of Shiga Pref), Chisako Muramatsu (Gifu Univ), Wataru Sunayama (Univ. of Shiga Pref), Hiroshi Fujita (Gifu Univ) MI2018-90 |
(To be available after the conference date) [more] |
MI2018-90 pp.127-129 |
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] |
2018-06-13 - 2018-06-15 |
Okinawa |
Okinawa Institute of Science and Technology |
Vergence eye movements induced by Radial flow motion stimulus Yasushi Kodaka (AIST), Keisuke Kushiro (Kyout-u) NC2018-9 |
For stabilize our visual input, we have short latency eye movements as Ocular Following Eye Response (OFR). The vergence... [more] |
NC2018-9 pp.21-23 |
MBE, NC (Joint) |
2018-03-13 14:00 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Analyses on the image extraction properties of the retinal ganglion cell spikes with a hardware model Koji Ishii, Hirotsugu Yamaguchi, Yuki Hayashida, Naofumi Suematsu, Tetsuya Yagi (Osaka Univ.) NC2017-84 |
In the retina, the visual information represented by light is first transduced to graded potential change in the photore... [more] |
NC2017-84 pp.97-102 |
MBE, NC, NLP (Joint) |
2018-01-27 10:55 |
Fukuoka |
Kyushu Institute of Technology |
Visual information encoding by high-frequency spike population in mouse retinal ganglion cells Hirotsugu Yamaguchi, Yuka Kudo, Koji Ishii, Yuki Hayashida, Tetsuya Yagi (Osaka Univ.) NC2017-60 |
It is well known that visual information is continuously transformed into spike discharges in ganglion cells in the reti... [more] |
NC2017-60 pp.59-64 |
SDM, EID |
2017-12-22 11:45 |
Kyoto |
Kyoto University |
Wireless power transmission to biological stimulation devices with a thin film coil Keigo Misawa, Keisuke Tomioka, Kouhei Miyake, Mutsumi Kimura (Ryukoku Univ.) EID2017-15 SDM2017-76 |
We are focusing on biological stimulation devices using thin film devices. In particular, low temperature poly-silicon T... [more] |
EID2017-15 SDM2017-76 pp.17-22 |
SDM, EID |
2017-12-22 15:45 |
Kyoto |
Kyoto University |
Operation verification of Thin-Film Biostimulating Device using Thin-Film Transistors Kohei Miyake, Keisuke Tomioka, Keigo Misawa, Mutsumi kimura (Ryukoku Univ.) EID2017-25 SDM2017-86 |
Application to the medical field is expected from the characteristics of thin-film transistors (TFTs). We studied whethe... [more] |
EID2017-25 SDM2017-86 pp.71-76 |
MBE, NC (Joint) |
2017-10-07 10:20 |
Osaka |
Osaka Electro-Communication University |
Changes in light response characteristics of mouse retinal ganglion cells depending on background light Kenji Shiota, Yuki Naruto, Yuki Kashiwagi, Naofumi Suemats, Tetsuya Yagi, Yuki Hayashida (Osaka Univ.) MBE2017-43 |
In recent years, the mouse has attracted attention as an experimental animal for studying retinal neuronal circuits. An... [more] |
MBE2017-43 pp.11-16 |
MBE, BioX, NC |
2016-10-22 10:30 |
Osaka |
Osaka Electro-Communication University |
A simulation model of the neural image of the transient Off-α type ganglion cells in the mouse retina with convergent and divergent synaptic signaling Hirotsugu Yamaguchi, Yuka Kudo, Shuji Kitora, Shota Yamauchi, Yuki Hayashida, Tetsuya Yagi (Osaka Univ.) BioX2016-20 MBE2016-34 NC2016-19 |
Previous physiological experiments suggested that the transient Off- retinal ganglion cell in the mouse retina e... [more] |
BioX2016-20 MBE2016-34 NC2016-19 pp.19-24 |
HIP |
2016-09-28 15:25 |
Nara |
|
An analysis of spatial sampling properties of peripheral vision based on a retinal neuron network model Kensuke Kubo, Takeshi Kohama, Hisashi Yoshida (Kindai) HIP2016-59 |
In this study, we propose a mathematical model of a retinal network which replicates spatial sampling properties of peri... [more] |
HIP2016-59 pp.79-84 |
ICD, SDM, ITE-IST [detail] |
2016-08-02 14:05 |
Osaka |
Central Electric Club |
[Invited Talk]
Features of retinal prosthesis using suprachoroidal transretinal stimulation
-- from an electrical circuit perspective -- Yasuo Terasawa, Kenzo Shodo, Koji Osawa (Nidek), Jun Ohta (NAIST) SDM2016-59 ICD2016-27 |
Several research groups globally have been developing retinal prostheses since the 1990s. We have been developing a reti... [more] |
SDM2016-59 ICD2016-27 pp.77-79 |
HCS, HIP, HI-SIGCOASTER [detail] |
2016-05-19 16:15 |
Okinawa |
Okinawa Industry Support Center |
Multi electrodes galvanic retina stimulation changes light source position of phospene Kazuma Aoyama, Daiki Higuchi, Taro Maeda, Hideyuki Ando (Osaka Univ.) HCS2016-30 HIP2016-30 |
Galvanic Retina Stimulation (GRS) induces visual sensation that is called phosphene by applying current from surface ele... [more] |
HCS2016-30 HIP2016-30 pp.231-234 |