Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
US |
2023-10-18 15:55 |
Miyagi |
Tohoku Univ. and Online (Primary: On-site, Secondary: Online) |
A Study of Image Quality Improvement of Single-shot Plane-Wave Imaging Using 1D+2D U-Net Hiromi Shidara, Kanta Miura, Takuro Ishii, Koichi Ito, Takafumi Aoki, Yoshifumi Saijo (Tohoku Univ.), Jun Ohmiya (Konica Minolta) US2023-42 |
[more] |
US2023-42 pp.24-28 |
BioX |
2023-10-12 17:15 |
Okinawa |
Nobumoto Ohama Memorial Hall |
A Study of Multibiometrics Considering Properties of Biometric Traits Taito Tonosaki, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Tetsushi Ohki, Masakatsu Nishigaki (Shizuoka Univ.) BioX2023-64 |
The performance of biometric authentication can be improved by combining multiple biometric traits, which is known as mu... [more] |
BioX2023-64 pp.32-36 |
MI |
2023-07-03 11:00 |
Miyagi |
Tohoku Univ. Sakura Hall |
[Short Paper]
A Study of a Probe Pose Estimation Method with Guaranteed Geometric Consistency Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya (Konica Minolta) MI2023-9 |
[more] |
MI2023-9 pp.9-10 |
MI |
2023-07-03 14:30 |
Miyagi |
Tohoku Univ. Sakura Hall |
[Short Paper]
Accuracy Improvement of Retinal Layer Segmentation from OCT Images Using 1D+2D U-Net Tsubasa Konno, Takahiro Ninomiya, Kanta Miura, Koichi Ito, Noriko Himori, Parmanand Sharma, Toru Nakazawa, Takafumi Aoki (Tohoku Univ.) MI2023-11 |
[more] |
MI2023-11 pp.12-13 |
MI |
2023-07-03 15:30 |
Miyagi |
Tohoku Univ. Sakura Hall |
[Short Paper]
A Study of Improving Image Quality of Single Plane-Wave Imaging Using U-Net shidara Hiromi, Kanta Miura, Takuro Ishii, Koichi Ito, Takafumi Aoki, Yoshifumi Saijo (Tohoku Univ.), Jun Ohmiya (Konica Minolta) MI2023-13 |
[more] |
MI2023-13 pp.20-21 |
PRMU, IPSJ-CVIM |
2023-05-19 09:05 |
Aichi |
(Primary: On-site, Secondary: Online) |
A Study of Depth Map Optimization Using NeRF for Multi-View Stereo Shintaro Ito, Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.) PRMU2023-6 |
In this paper, we propose a method to improve the accuracy of depth maps estimated by Multi-View Stereo (MVS) by optimiz... [more] |
PRMU2023-6 pp.27-32 |
MICT, MI |
2022-11-18 15:15 |
Aichi |
Nagoya Institute of Technology |
Accuracy Improvement of Ultrasound Probe Pose Estimation by Image Reconstruction Loss Kanta Miura, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Jun Ohmiya (Konica Minolta) MICT2022-41 MI2022-70 |
[more] |
MICT2022-41 MI2022-70 pp.37-42 |
BioX |
2022-10-03 13:30 |
Okinawa |
|
Performance Improvement of CNN-Based Fingerprint Recognition Using Multiple Attention Mechanism Nagisa Sasuga, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-55 |
Fingerprint recognition methods that extract multiple features from a fingerprint image using a Convolutional Neural Net... [more] |
BioX2022-55 pp.1-6 |
BioX |
2022-10-03 14:00 |
Okinawa |
|
Face Spoofing Attack Detection Using Vision Transformer and Its Performance Improvement by Patch-wise Data Augmentation Kota Watanabe, Koichi Ito, Takafumi Aoki (Tohoku Univ.) BioX2022-56 |
[more] |
BioX2022-56 pp.7-12 |
BioX |
2022-10-03 14:30 |
Okinawa |
|
A Study of Region-Based Iris Recognition Using Convolutional Neural Network Shokei Kawakami, Hiroya Kawai, Koichi Ito, Takafumi Aoki (Tohoku Univ.), Yoshiko Yasumura, Masakazu Fujio, Yosuke Kaga, Kenta Takahashi (Hitachi) BioX2022-57 |
The iris, the ring-shaped area between the pupil and the sclera of the eye, has a unique pattern that can be used to ide... [more] |
BioX2022-57 pp.13-18 |
PRMU |
2022-09-14 10:30 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
Performance Evaluation of Data Augmentation Using Face Parsing for Improving Face Recognition Hiroya Kawai, Koichi Ito (Tohoku Univ.), Hwann-Tzong Chen (NHTU), Takafumi Aoki (Tohoku Univ.) PRMU2022-12 |
Face recognition is one of the most promising methods to recognize individuals. Since the recognition accuracy is degrad... [more] |
PRMU2022-12 pp.13-18 |
PRMU |
2022-09-14 10:45 |
Kanagawa |
(Primary: On-site, Secondary: Online) |
PRMU2022-13 |
In this paper, we propose an image correspondence method using machine learning and improve the accuracy of camera param... [more] |
PRMU2022-13 pp.19-24 |
MI, MICT [detail] |
2021-11-05 09:40 |
Online |
Online |
MICT2021-29 MI2021-27 |
(To be available after the conference date) [more] |
MICT2021-29 MI2021-27 pp.13-14 |
MI, MICT [detail] |
2021-11-05 10:25 |
Online |
Online |
Performance Improvement of Alzheimer's Disease Identification Using Cognitive Function Test Scores Daiki Endo, Koichi Ito, Takafumi Aoki (Tohoku Univ.) MICT2021-31 MI2021-29 |
As the population ages, the prevalence of Alzheimer’s disease (AD) is expected to increase. AD causes progressive brain ... [more] |
MICT2021-31 MI2021-29 pp.17-21 |
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 |
PRMU |
2021-08-26 15:45 |
Online |
Online |
An Analysis of Deep Face Recognition Using Face Parsing Hiroya Kawai, Takashi Kozu, Koichi Ito (Tohoku Univ.), Hwann-Tzong Chen (NTHU), Takafumi Aoki (Tohoku Univ.) PRMU2021-13 |
Face recognition is widely used in mobile devices and security gates due to its convenience. In recent years, face recog... [more] |
PRMU2021-13 pp.36-41 |
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 |
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 |