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All Technical Committee Conferences (All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| AP | 2021-02-18 16:25 |
Online | Online | [Special Talk]
Challenges to Antennas for Medical Applications and Human-body Phantoms Koichi Ito (Chiba Univ.) |
[more] | |
| MW, EST, EMCJ, PEM, IEE-EMC [detail] | 2020-10-23 14:05 |
Online | Online | Experimental Evaluation of Small Communication Module Performances for Some 10-60 MHz Implant Antennas Yuki Fujii, Jianqing Wang (NIT), Yutaro Yokoyama, Kazuyuki Saito (Chiba Univ.), Daisuke Anzai (NIT), Koichi Ito (Chiba Univ.)  EMCJ2020-46 MW2020-60 EST2020-48 |
[more] | EMCJ2020-46 MW2020-60 EST2020-48 pp.119-123 |
| MI | 2020-09-03 14:55 |
Online | Online | Performance Improvement of Alzheimer's Disease Classification Using Convolutional Neural Network Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MI2020-31 |
Alzheimer's disease (AD) is a progressive brain disease that causes a different pattern of brain atrophy from normal agi... [more] | MI2020-31 pp.63-67 |
| MI, IE, SIP, BioX, ITE-IST, ITE-ME [detail] | 2020-05-28 14:00 |
Online | Online | A Study of 3D Ultrasound Volume Reconstruction based on Ultrasound Probe Localization Using Deep Learning Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) SIP2020-3 BioX2020-3 IE2020-3 MI2020-3 |
This paper presents an ultrasound (US) volume reconstruction method only from US image sequences using deep learning. T... [more] |
SIP2020-3 BioX2020-3 IE2020-3 MI2020-3 pp.9-14 |
| BioX | 2019-10-03 14:20 |
Okinawa | Fundamental Study of Fingerprint Recognition Using Deep Learning Ai Takahashi, Yoshinori Koda, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2019-56 |
Fingerprint recognition is to identigy a person by comparing relative position, angle and quality of minutiae extracted ... [more] | BioX2019-56 pp.11-16 |
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| BioX | 2019-10-03 15:35 |
Okinawa | Report on ICB2019 Koichi Ito (Tohoku Univ.) BioX2019-58 |
[more] | BioX2019-58 pp.19-20 |
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| ISEC, SITE, ICSS, EMM, HWS, BioX, IPSJ-CSEC, IPSJ-SPT [detail] | 2019-07-23 10:20 |
Kochi | Kochi University of Technology | Development of 2,400ppi fingerprint sensor for capturing neonate fingerprint within 24 hours after Birth Yoshinori Koda, Ai Takahashi, Koichi Ito, Takafumi Aoki (Tohoku Univ.) ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21 |
United Nations adopted the resolution “Sustainable Development Goals (SDGs),” and one of the action plans is listed at “... [more] | ISEC2019-18 SITE2019-12 BioX2019-10 HWS2019-13 ICSS2019-16 EMM2019-21 pp.81-85 |
| PRMU, BioX | 2019-03-18 16:50 |
Tokyo | [Invited Talk]
Recent Advances in Biometrics and Introduction Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2018-67 PRMU2018-171 |
[more] | BioX2018-67 PRMU2018-171 pp.209-212 |
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| MICT, MI | 2018-11-06 18:00 |
Hyogo | University of Hyogo | A Study of an Age Estimation Method From Brain MRI Images Using 3D-CNN and Its Application Masaru Ueda, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ. of Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MICT2018-57 MI2018-57 |
The statistical analysis of brain MR images indicates that the human brain atrophies during normal aging process. The ag... [more] | MICT2018-57 MI2018-57 pp.79-82 |
| BioX | 2018-10-11 14:30 |
Okinawa | Nobumoto Ohama Memorial Hall | Consideration of Quality Improvement for Neonate-Fingerprint Images Yoshinori Koda, Koichi Ito, Takafumi Aoki (Tohoku Univ) BioX2018-20 |
United Nations adopted the resolution, SDGs, which aims at solving the eradicating poverty in all its forms and dimensio... [more] | BioX2018-20 pp.7-12 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 11:45 |
Okinawa | [Short Paper]
Performance Evaluation of Age Estimation Methods Using ADNI Database
-- Comparison of Brain Local Features and CNN -- Koichi Ito, Ryuichi Fujimoto (Tohoku Univ.), Kai Wu (South China Univ. Tech.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2017-71 |
This paper evaluates the accuracy of age estimation methods with brain local features and CNN using the ADNI database. W... [more] | MI2017-71 pp.29-30 |
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| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 15:20 |
Okinawa | Report on MICCAI2017 Yoshito Otake (NAIST), Koichi Ito (Tohoku Univ.), Masahiro Oda (Nagoya Univ.), Ryoma Bise, Ken'ichi Morooka (Kyushu Univ.), Zhou Xiangrong (Gifu Univ.), Atsushi Saito, Akinobu Shimizu (TUAT), Yoshitaka Masutani (Hiroshima City Univ.), Yoshinobu Sato (NAIST), Kensaku Mori (Nagoya Univ.) MI2017-101 |
[more] | MI2017-101 pp.125-131 |
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| BioX | 2017-10-12 15:00 |
Okinawa | Nobumoto Ohama Memorial Hall | A Study of a Liveness Detection Method Using Fully Convolutional Network for Face Recognition Systems Koichi Ito, Takehisa Okano, Takafumi Aoki (Tohoku Univ.) BioX2017-27 |
A face recognition system may accept a malicious person by presenting a printed photo of a user. To address this problem... [more] | BioX2017-27 pp.11-15 |
| MI | 2017-07-06 16:45 |
Miyagi | Tohoku Univ. | A Study of Calibration between Ultrasound Probe and Camera for 3D Ultrasound Image Reconstruction Koichi Ito, Kouya Yodokawa, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (Konica Minolta) MI2017-29 |
This paper proposes a 3D reconstruction method for US images using an ultrasound (US) probe and camera system. Calibrati... [more] | MI2017-29 pp.17-22 |
| SDM | 2017-06-20 16:50 |
Tokyo | Campus Innovation Center Tokyo | Formation of Ultrathin Crystalline Structure of Group-IV Elements on Epitaxial Ag(111) Surface Koichi Ito, Akio Ohta, Masashi Kurosawa, Masaaki Araidai, Mitsuhisa Ikeda, Katsunori Makihara, Seiichi Miyazaki (Nagoya Univ.) SDM2017-30 |
Two dimensional (2D) honeycomb crystals such as silicene and germanene are currently receiving much attention because of... [more] | SDM2017-30 pp.43-48 |
| PRMU, IE, MI, SIP | 2017-05-26 09:20 |
Aichi | An Age Estimation Method Using Brain Local Features of Brain MRI Images and Its Performance Evaluation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical and Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 |
It is known that brain tissues have age-related morphological changes through a set of statistical analysis using large... [more] |
SIP2017-13 IE2017-13 PRMU2017-13 MI2017-13 pp.67-70 |
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| MI | 2017-01-18 15:48 |
Okinawa | Tenbusu Naha | [Short Paper]
PET image analysis using sparse nonnegative matrix factorization for accumulation model survey of amyloid beta Tatsuya Nagata, Hidekata Hontani, Tatsuya Yokota (NIT), Yuchi Kimura (Kindai Univ.), Koichi Ito (Tohoku Univ.), Takashi Kato, Kaori Iwata, Akinori Nakamura (NCGG) MI2016-117 |
(To be available after the conference date) [more] | MI2016-117 pp.183-184 |
| MI | 2016-07-25 15:15 |
Hokkaido | Tomakomai Civic Hall | A Study of an Efficient Method of Selecting Effective Brain Local Features for Age Estimation Ryuichi Fujimoto, Koichi Ito (Tohoku Univ.), Kai Wu (South China Univ.), Kazunori Sato, Yasuyuki Taki (Tohoku Univ.), Hiroshi Fukuda (Tohoku Medical And Pharmaceutical Univ.), Takafumi Aoki (Tohoku Univ.) MI2016-38 |
Estimating the age of a subject by evaluating brain morphological changes leads diagnostic support or early detection o... [more] |
MI2016-38 pp.13-18 |
| RECONF | 2016-05-20 11:20 |
Kanagawa | FUJITSU LAB. | Evaluation of an OpenCL-Based FPGA Accelerator for Phase-Only Correlation Masanori Hariyama, Shunsuke Tatsumi, Koichi Ito, Takafumi Aoki (Tohoku Univ.) RECONF2016-21 |
This paper proposes a Field Programmable Gate Array (FPGA) implementation of the stereo correspondence matching using Ph... [more] | RECONF2016-21 pp.103-108 |
| PRMU, IE, MI, SIP | 2016-05-20 11:10 |
Aichi | A Study of 3D Ultrasound Image Reconstruction Using Ultrasound Probe Localization Shuya Ito, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (Konica Minolta) SIP2016-24 IE2016-24 PRMU2016-24 MI2016-24 |
This paper proposes an accurate ultrasound probe localization method for 3D US image reconstruction.The proposed method ... [more] | SIP2016-24 IE2016-24 PRMU2016-24 MI2016-24 pp.129-134 |
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