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 Results 1 - 15 of 15  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, CAS, VLD, MSS 2021-07-05
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)
(To be available after the conference date) [more]
MI 2021-03-16
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
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
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
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
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
SP, EA, SIP 2020-03-03
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
SP, EA, SIP 2020-03-03
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
EA, SIP, SP 2019-03-15
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
EA, SIP, SP 2019-03-15
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
EA, SIP, SP 2019-03-15
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
EMM 2019-03-13
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
(Joint) [detail]
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
HCS 2016-08-20
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
MI 2011-07-12
Hokkaido Hokkaido University An Analytic Solution for Diffusion Kurtosis Computation in Diffusion MR Imaging
Yoshitaka Masutani (Univ. of Tokyo), Shigeki Aoki (Juntendo Univ.) MI2011-34
Diffusion kurtosis is a parameter to quantify the non-Gaussian motion of water molecule, and is expected as a new diagno... [more] MI2011-34
MI 2010-01-29
Okinawa Naha-Bunka-Tenbusu An experimental method for MPG decimation in HARDI
Yoshitaka Masutani, Yuichi Suzuki, Kenji Itoh, Osamu Abe (Univ. of Tokyo), Shigeki Aoki (Juntendo Univ.), Kuni Ohtomo (Univ. of Tokyo) MI2009-134
 [more] MI2009-134
HIP 2009-12-17
Miyagi RIEC [Invited Talk] Multimodal integration based on the prior probability
Shinya Yamamoto (AIST), Makoto Miyazaki (KUT), Shigeru Kitazawa (AIST/Juntendo Univ.) HIP2009-99
Judgment of the temporal order of two sensory signals tends to change, depending on prior experiences. There are two pos... [more] HIP2009-99
 Results 1 - 15 of 15  /   
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