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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 58  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SANE 2023-12-08
09:30
Overseas Surakarta, Indonesia
(Primary: On-site, Secondary: Online)
Oil Spill Mapping Using Sentinel-1 SAR (Synthetic Aperture Radar) in Northern Water of Bintan Island
Asqita Rakhma Ashari, Agus Hartoko, Pujiono Wahyu Purnomo (UNDIP) SANE2023-67
Northern water of Bintan Island is an international trade route with high ships mobility. Therefore it has a high risk o... [more] SANE2023-67
pp.42-46
HWS, VLD 2023-03-02
17:15
Okinawa
(Primary: On-site, Secondary: Online)
Communication-Efficient Federated Learning with Gradient Boosting Decision Trees
Kotaro Shimamura, Shinya Takamaeda (UTokyo) VLD2022-99 HWS2022-70
Federated learning (FL) is a machine learning method in which clients learn cooperatively without disclosing private dat... [more] VLD2022-99 HWS2022-70
pp.137-142
OME 2021-12-24
13:55
Online Online [Invited Talk] Volume holographic reconstruction with a broadband spectral light source
Ryushi Fujimura (Utsunomiya Univ.) OME2021-28
Polychromatic reconstruction is a novel holographic reconstruction method that utilizes a spectrally-broad but spatially... [more] OME2021-28
pp.11-14
MI 2021-08-27
14:10
Online Online A Study of a Pose Estimation Method of Ultrasound Probe Using RNN
Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya, Satoshi Kondo (KONICA MINOLTA) MI2021-22
In this paper, we propose an ultrasound (US) probe pose estimation method using deep learning for 3D US image reconstruc... [more] MI2021-22
pp.2-7
MI 2021-03-16
09:30
Online Online Statistical modeling of pulmonary vasculatures in CT volumes using a deep generative model
Yuki Saeki, Atshushi Saito (TUAT), Jean Cousty, Yukiko Kenmochi (LIGM/ UGE/ CNRS/ ESIEE Paris), Akinobu Shimizu (TUAT) MI2020-65
The purpose of this study is to build a statistical intensity model of pulmonary vasculatures in CT volumes. In this stu... [more] MI2020-65
pp.80-81
MI 2021-03-17
10:30
Online Online Study on automated anatomical labeling of abdominal arteries using Spectral-based Convolutional Graph Neural Networks
Yuta Hibi, Yuichiro Hayashi (Nagoya Univ), Takayuki Kitasaka (Aichi Institute of Tech), Hayato Itoh, Masahiro Oda (Nagoya Univ), Kazunari Misawa (Aichi Cancer Center Hospital), Kensaku Mori (Nagoya University/NII) MI2020-89
In this study, we report an automated anatomical labeling method of abdominal arteries using Spectral-based Convolutiona... [more] MI2020-89
pp.176-181
WIT, IPSJ-AAC 2021-03-05
15:10
Online Online A Method for Parameter Adjustment of Yes/No Communication Aid -- Research on High and Stable Accuracy of Correct Answers --
Kuniaki Ozawa, Masayoshi Naito, Naoki Tanaka (TOYO Univ.), Shiryu Wada (Double RD) WIT2020-31
It is desirable for ALS patients in completely locked-in state to communicate to their caregivers with a Yes/No communic... [more] WIT2020-31
pp.11-15
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-04
10:15
Online Online A quantitative measure of discriminability between NMF dictionaries
Eisuke Konno, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2020-82 SIP2020-113 SP2020-47
Supervised nonnegative matrix factorization (NMF) is a popular approach for monaural audio source separation. It realize... [more] EA2020-82 SIP2020-113 SP2020-47
pp.134-139
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
ITS 2019-07-05
13:55
Tokyo Kikai-Shinko-Kaikan Bldg. Travel Time and Flow Estimation for Multiple Routes based on EM Algorithm -- Multiple Route Travel Time and Flow Estimation --
Seiya Torimaru, Takayoshi Yokota (Tottori Univ.) ITS2019-3
This paper describes a method for estimating multiple routes travel time
and traffic volumes by using EM algorithm.
... [more]
ITS2019-3
pp.13-20
EMCJ, MICT
(Joint)
2019-03-15
11:30
Tokyo Kikai-Shinko-Kaikan Bldg. Effect of the position and pressure on the accuracy of PPG-based heart rate sensor
Yuzu Kuwahara, Masaya Kimoto, Takunori Shimazaki, Shinsuke Hara (Osaka City Univ.), Hiroyuki Yomo (Kansai Univ.) MICT2018-69
These days, because of its simplicity, noninvasiveness and unobtrusiveness, photoplethysmography (PPG) has been commonly... [more] MICT2018-69
pp.5-10
MI 2019-01-23
14:00
Okinawa   Study on Automated Labeling of Abdominal Arteries Using Machine Learning with Data Augmentation
Yusuke Tetsumura, Yuichiro Hayashi, Masahiro Oda (Nagoya Univ), Takayuki Kitasaka (AIT), Kazunari Misawa (ACC), Kensaku Mori (Nagoya Univ) MI2018-106
In this paper, we improve automated anatomical labeling accuracy for the abdominal arteries by introducing data augmenta... [more] MI2018-106
pp.191-196
US 2018-08-30
15:45
Tokyo Tokyo Institute of Technology Study on acoustic scattering characteristics of pointhead flounder (Cleisthenes pinetorum) -- Characteristics of pointhead flounder observed with a quantitative echosounder. --
Tohru Mukai, Naizheng Yan, Jun Yamamoto, Kohei Hasegawa (Hokkaido Univ.) US2018-46
This study addresses the characteristics of the pointhead flounder Cleisthenes pinetorum using a quantitative echosounde... [more] US2018-46
pp.29-32
SIP 2018-08-20
14:25
Tokyo Takushoku Univ. Bunkyo Campus. Experiment on OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Genki Fujii, Shogo Muramatsu, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-58
In this report, we try to apply the restoration algorithm proposed in [1] to real observation data acquired byoptical co... [more] SIP2018-58
pp.7-12
RCC, MICT 2018-05-24
13:00
Tokyo Tokyo Big Sight [Poster Presentation] Effect of Fastening Belt Pressure on the Accuracy of Photoplethysmography-Based Heart Rate Sensing
Yuzu Kuwahara, Masaya Kimoto, Takunori Shimazaki (Osaka City Univ.), Hiroyuki Yomo (Kansai Univ.), Shinsuke Hara (Osaka City Univ.) RCC2018-1 MICT2018-1
Photoplethysmography (PPG) is non-invasive and unobtrusive, so it has been commonly used for heart rate (HR) sensing dur... [more] RCC2018-1 MICT2018-1
pp.1-6
PRMU, MI, IE, SIP 2018-05-17
15:15
Gifu   On OCT Volumetric Data Restoration via Hierarchical Sparsity and Hard Constraint
Shogo Muramatsu, Satoshi Nagayama, Samuel Choi (Niigata Univ.), Shunsuke Ono (Tokyo Institute of Tech.), Takeru Ota, Fumiaki Nin, Hiroshi Hibino (Niigata Univ.) SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
This work proposes a novel restoration method for optical coherence tomography (OCT) data. OCT is a measurement techniqu... [more] SIP2018-3 IE2018-3 PRMU2018-3 MI2018-3
pp.7-12
MRIS, IEE-MAG 2018-03-09
11:30
Aichi Nagoya Univ. Derivation of Bragg condition considering grating vector variation for readout compensation
Shuhei Yoshida (Kindai Univ.), Shuma Horiuchi (Tokyo Univ. of Science) MR2017-52
In the holographic data storage, it is possible to selective reproduce from multiplexed holograms by utilizing the Bragg... [more] MR2017-52
pp.11-15
CQ
(2nd)
2017-01-21
12:30
Osaka Osaka University Nakanoshima Center [Poster Presentation] Car Sales Prediction using State Space Model with Search Volume on the Web
Taichi Yamaguchi (Univ. of Tsukuba), Takaaki Tsunoda (CyberAgent), Mitsuo Yoshida (Toyohashi Tech), Sho Tsugawa, Mikio Yamamoto (Univ. of Tsukuba)
Regarding monthly car sales as time series data, we can predict the future car sales using state space models. However, ... [more]
MI 2017-01-18
15:24
Okinawa Tenbusu Naha
Rie Oyama, Chizuko Isyrygi, Hideyuki Senda, Yuri Sasaki, Gen Haba, Tomonobu Kanasugi, Akihiko Kikuchi, Toru Sugiyama (IMU), Sonia Pujol (HMS) MI2016-115
Introduction: Recently, there has been a growing interest among scientists in the mechanism of developmental the fetal b... [more] MI2016-115
pp.171-176
MI, MICT 2016-09-16
15:10
Tokyo Koganei Campus, Tokyo University of Agriculture and Technology Object Oriented Data Analysis for Volumetric Medical Data using Multiway Principal Component Analysis
Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) MICT2016-43 MI2016-57
For object oriented data analysis of volumetric medical data, we introduce principal component analysis for the third or... [more] MICT2016-43 MI2016-57
pp.41-46
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