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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 85  /  [Next]  
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
 Results 1 - 20 of 85  /  [Next]  
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