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All Technical Committee Conferences (All Years)
| 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 09:45 |
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 |
| 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 |
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| 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 |
|
| MI | 2011-07-12 11:00 |
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 pp.11-16 |
| MI | 2010-01-29 11:40 |
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 pp.317-320 |
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