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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 23  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
US 2022-06-30
10:55
Osaka Kansai University (Senriyama Campus) Verification to improve the accuracy of acoustic impedance evaluation at very high frequencies
Akira Hashimoto, Kenji Yoshida, Shinnosuke Hirata (Chiba Univ.), Hitoshi MAruyama (Juntendo Univ.), Tadashi Yamaguchi (Chiba Univ.) US2022-10
When using ultrahigh-frequency ultrasound with a center frequency of 250 to 300 MHz to evaluate the acoustic impedance o... [more] US2022-10
pp.5-9
EA, SIP, SP, IPSJ-SLP [detail] 2022-03-02
13:25
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] Transformer-based Text Decoding using Electrocorticography
Shuji Komeiji, Kai Shigemi (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (Tokyo Tech), Toshihisa Tanaka (TUAT) EA2021-87 SIP2021-114 SP2021-72
Invasive brain-machine interfaces (BMIs) are a promising neurotechnology for achieving direct speech communication from ... [more] EA2021-87 SIP2021-114 SP2021-72
pp.146-151
MI 2022-01-26
10:13
Online Online [Short Paper] Abnormality Detection for Covid-19 Chest CT Images by Dimensionality Reduction Based on Contrastive Learning
Hiroki Tobise, Kugler Mauricio, Tatsuya Yokota (NITech), Masahiro Hashimoto (Keio Univ.), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo Univ.), Akinobu Shimizu (TUAT), Hidekata Hontani (NITech) MI2021-53
In this article, we propose a method that detects anomaly regions in chest CT images for the aid of Covid-19 diagnosis. ... [more] MI2021-53
pp.41-42
MI 2022-01-26
10:26
Online Online MI2021-54  [more] MI2021-54
pp.43-44
MI 2022-01-26
11:05
Online Online Study on automatic generation of COVID-19 related radiology reports from chest CT images
Shinji Okazaki, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ.), Masahiro Hashimoto, Masahiro Jinzaki (Keio Univ.), Toshiaki Akashi, Shigeki Aoki (Juntendo Univ.), Kensaku Mori (Nagoya Univ./NII) MI2021-57
In this paper, we describe a study on automatic generation of COVID-19 related radiology reports from chest CT images. T... [more] MI2021-57
pp.49-54
TL 2021-10-24
17:30
Online Online A Cross-linguistic Study of the Relationships between Language, Body, and Self-Consciousness
Kishiki Ueno (Tokyo City Univ.), Yuko Nomura (Juntendo Univ.) TL2021-23
Recent empirical studies in cognitive science have shown that body consciousness is closely related to self-consciousnes... [more] TL2021-23
pp.34-35
SIP, CAS, VLD, MSS 2021-07-05
13:00
Online Online Epileptic Spike Detection from Electroencephalogram with Self-Attention Mechanism
Kosuke Fukumori (TUAT), Noboru Yoshida, Hidenori Sugano, Madoka Nakajima (Juntendo Univ.), Toshihisa Tanaka (TUAT) CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
Automated identification of epileptiform discharges for the diagnosis of epilepsy can mitigate the burden of the exhaust... [more] CAS2021-3 VLD2021-3 SIP2021-13 MSS2021-3
pp.11-15
MI 2021-03-16
09:00
Online Online Lung segmentation of thoracic CT volumes by combining slice-wise with pixel-wise classification
Takahito Haruishi, Atsushi Saito (TUAT), Masahiro Hashimoto (Keio University), Yoshito Otake (NAIST), Toshiaki Akashi (Juntendo University), Akinobu Shimizu (TUAT) MI2020-63
 [more] MI2020-63
pp.72-73
MI 2021-03-16
09:45
Online Online MI2020-66 In this paper, we propose a method for automatically classifying COVID-19 cases from CT images of lung fields. Currently... [more] MI2020-66
pp.82-86
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
11:15
Online Online Automatic Detection of Epileptic Abnormal EEG Using Deep Learning
Taku Shoji (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2020-62 SIP2020-93 SP2020-27
Although electroencephalography (EEG) is essential for the diagnosis of epilepsy, it requires expertise and experience t... [more] EA2020-62 SIP2020-93 SP2020-27
pp.15-20
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
16:10
Online Online Estimation of imagined speech from electrocorticogram with an encoder-decoder model
Kotaro Hayashi, Shuji Komeiji (TUAT), Takumi Mitsuhashi, Yasushi Iimura, Hiroharu Suzuki, Hidenori Sugano (Juntendo Univ.), Koichi Shinoda (TokyoTech), Toshihisa Tanaka (TUAT) EA2020-87 SIP2020-118 SP2020-52
Recent advances in signal processing and machine learning technologies have made it possible to estimate and reconstruct... [more] EA2020-87 SIP2020-118 SP2020-52
pp.164-169
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Comparison of Neural Network Models for Detection of Spatiotemporal Abnormal Intervals in Epileptic EEG
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2019-156 SIP2019-158 SP2019-105
Epilepsy is a chronic brain disease, and the detection of abnormal waveforms by scalp electroencephalography (EEG) is an... [more] EA2019-156 SIP2019-158 SP2019-105
pp.319-323
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] EpiNet: Convolutional Neural Network for Epileptic Seizure Localization from Interictal Intracranial EEG
Kosuke Mori, Kosuke Fukumori, Toshihisa Tanaka (TUAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2019-157 SIP2019-159 SP2019-106
The electroencephalogram (EEG) recording is necessary for epileptic diagnosis. In particular, the intracranial EEG (iEEG... [more] EA2019-157 SIP2019-159 SP2019-106
pp.325-330
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) EA2018-136 SIP2018-142 SP2018-98 Epilepsy is chronic brain disorder that affects 50 million people in the world. To diagnose epilepsy, specialists manual... [more] EA2018-136 SIP2018-142 SP2018-98
pp.217-222
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Focus Detection from Interictal Electroencephalogram using RNN
Byambadorj Nyamradnaa, Kosuke Fukumori, Toshihisa Tanaka (TAT), Yasushi Iimura, Takumi Mitsuhashi, Hidenori Sugano (Juntendo Univ.) EA2018-138 SIP2018-144 SP2018-100
Epilepsy is a neurological disorder characterized by recurrent seizures. An option of treatment is surgical resection of... [more] EA2018-138 SIP2018-144 SP2018-100
pp.229-231
EA, SIP, SP 2019-03-15
13:30
Nagasaki i+Land nagasaki (Nagasaki-shi) [Poster Presentation] Epileptic Spike Detection and Identification of Effective Frequency Band with Neural Networks
Kosuke Fukumori (TUAT), Noboru Yoshida (Juntendo Univ.), Toshihisa Tanaka (TUAT) EA2018-139 SIP2018-145 SP2018-101
Epilepsy is a complex neurological disorder and can lead to an adverse impact on an individual's cognitive functions.
I... [more]
EA2018-139 SIP2018-145 SP2018-101
pp.233-235
EMM 2019-03-13
14:05
Okinawa TBD [Poster Presentation] An eye-contact feedback system using the estimation of the facial direction during oral presentation
Yo Horiuchi, Tetsuya Kojima (NIT, Tokyo College), Tomoko Hori (Juntendo Univ.) EMM2018-97
In the globalized society, there have been lots of opportunities to give speeches in English. It is quite important for ... [more] EMM2018-97
pp.29-31
NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] 2018-06-13
15:00
Okinawa Okinawa Institute of Science and Technology A Study of Numerical Prediction of 2-hour Plasma Glucose Level during OGTT using Machine Learning
Katsutoshi Maeta, Yu Nishiyama (UEC), Kazutoshi Fujibayashi (JUN), Toshiaki Gunji, Noriko Sasabe, Kimiko Iijima (NTT Medical Center Tokyo), Toshio Naito (JUN) IBISML2018-9
Oral glucose tolerance test (OGTT) is a method used to diagnose diabetes. Subjects take a 75 g glucose solution in a sho... [more] IBISML2018-9
pp.61-66
SIP, EA, SP, MI
(Joint) [detail]
2018-03-20
09:00
Okinawa   [Poster Presentation] Effective Frequency Bands and Features for Epileptic Focus Detectionfrom Interical Electrocorticogram
Tatsunori Itakura, Shintaro Ito, Toshihisa Tanaka (TUAT), Hidenori Sugano (Juntendo Univ.) EA2017-159 SIP2017-168 SP2017-142
In this paper, we propose fast singular value decomposition (SVD) based on the Chebyshev polynomial approximation (CPA).... [more] EA2017-159 SIP2017-168 SP2017-142
pp.311-316
HCS 2016-08-20
10:40
Kyoto   An Analysis of Use of Inner Speech by Native Speakers of Japanese
Keiko Asano (Juntendo Univ.) HCS2016-44
In this study, the effects of Inner Speech, which is voices without outer-produced sounds or read by only inside of one’... [more] HCS2016-44
pp.73-77
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