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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 9 of 9  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2023-03-06
13:41
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Comparative study of the Small Intestine segmentation based on 2D and 3D U-Nets
Qin An (Nagoya Univ.), Hirohisa Oda (UoS), SiRui Chen, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (Aichi Institute Univ), Aitaro Takimoto, Akinari Hinoki, Hiroo Uchida (Nagoya Univ.), Kojiro Suzuki (Aichi Medical Univ.), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-82
In this paper, we aim to compare and analyze the small intestine segmentation methods based on U-Net and 3D U-Net. Segme... [more] MI2022-82
pp.46-51
MI 2023-03-07
17:55
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
A centerline-based post-processing for detecting intestinal obstructions in CT volumes
Sirui Chen (Nagoya Univ.), Hirohisa oda (UoS), Qin An, Yuichiro Hayashi (Nagoya Univ.), Takayuki Kitasaka (AIT), Aitaro Takimoto, Akinari Hinoki, Nagoya Univ. (Nagoya Univ.), Kojiro Suzuki (AIC), Masahiro Oda, Kensaku Mori (Nagoya Univ.) MI2022-130
This paper proposes an efficient post-processing method for intestinal obstruction detection in CT volumes. Intestinal o... [more] MI2022-130
pp.223-228
AP, SANE, SAT
(Joint)
2021-07-28
12:40
Online Online Microwave Blood Pressure Estimation Using Machine Learning
Kota Sasaki, Naoki Honma, Kentaro Murata, Morio Iwai, Koichiro Kobayashi (Iwate Univ.), Atsushi Sato (EQUOS RESEARCH) AP2021-27 SANE2021-17
This report proposes and experimentally assesses a non-contact blood pressure estimation method using a microwave and KN... [more] AP2021-27 SANE2021-17
pp.19-24(AP), pp.12-17(SANE)
SRW 2021-06-21
14:40
Online Online [Invited Talk] Adaptive Array Algorithm for Vital-Sign Detection Suitable for Low Microwave Band
Naoki Honma, Kentaro Murata, Morio Iwai, koichiro Kobayashi (Iwate Univ.), Atsushi Sato (EQUOS RESEARCH) SRW2021-11
 [more] SRW2021-11
pp.43-48
SIS, ITE-BCT 2020-10-01
14:00
Online Online An FPGA Implementation of Human Recognition using MRCoHOG Features
Yuya Nagamine, Kazuki Yoshihiro (Kyutech), Masatoshi Shibata, Hideo Yamada (EQUOS RESEARCH), Shuichi Enokida, Hakaru Tamukoh (Kyutech) SIS2020-16
In this research, we design a hardware of human recognition using Multiresolution Co-occurrence Histograms of Oriented G... [more] SIS2020-16
pp.35-39
AP, RCS
(Joint)
2019-11-22
13:10
Saga Saga Univ. [Invited Lecture] Simultaneous Heartbeat Detection of Multiple Targets Using Amplitude Equivalent Component in Pseudo-Arctangent Demodulation
Shun Hasebe, Naoki Honma, Koichiro Kobayashi, Morio Iwai (Iwate Univ.), Atsushi Sato (EQR) AP2019-135 RCS2019-230
In this report, we investigate a simultaneous heartbeat detection method of multiple targets using a MIMO (Multiple-Inpu... [more] AP2019-135 RCS2019-230
pp.157-162(AP), pp.151-156(RCS)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:30
Okinawa Okinawa Institute of Science and Technology Hybrid Reinforcement and Imitation Learning for Human-Like Agents
Rousslan Fernand Julien Dossa, Xinyu Lian (Kobe Uni), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Uni) NC2019-16 IBISML2019-14
Reinforcement learning methods achieve performance superior to humans in a wide range of complex tasks and uncertain env... [more] NC2019-16 IBISML2019-14
pp.69-74(NC), pp.91-96(IBISML)
CCS 2018-11-23
10:50
Hyogo Kobe Univ. A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning
Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] CCS2018-41
pp.45-50
NLP 2007-06-08
13:00
Hiroshima   A note on the class of sequences generated in real-time by one-bit two-state cellular automata
Naoki Kamikawa, Hiroshi Umeo (Osaka Electro-Communication UOsaka Electro-Communication Unniv.) NLP2007-11
A model of cellular automata (CA) was devised for studying self-reproduction by John von Neumann.
It is studied in many... [more]
NLP2007-11
pp.1-5
 Results 1 - 9 of 9  /   
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