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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 10 of 10  /   
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
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
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
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
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 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, 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
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
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
MI 2013-11-07
14:50
Hiroshima   Liver Segmentation from 3D CT Images using Superpixel
Keisuke Hayata, Jun Ohmiya, Satoshi Kondo (Panasonic Healthcare), Tsuyoshi Kouyama, Tomoaki Takemura (Panasonic Medical Solutions) MI2013-52
This paper describes an algorithm of liver region segmentation from CT images using the region-growing algorithm and SLI... [more] MI2013-52
pp.33-38
 Results 1 - 10 of 10  /   
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