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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
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
MI 2023-03-06
10:45
Okinawa OKINAWA SEINENKAIKAN
(Primary: On-site, Secondary: Online)
Report on MICCAI 2022
Hayato Itoh, Masahiro Oda, Chen Shen, Cheng Wang (Nagoya Univ.), Kanta Miura (Tohoku Univ.), Junya Sato (Osaka Univ.), Yoshito Otake (NAIST), Ryoma Bise (Kyushu Univ.), Ryo Furukawa (Kindai Univ.), Hidekata Hontani (NITech), Yoshitaka Masutani (Tohoku Univ.), Kensaku Mori (Nagoya Univ.) MI2022-79
In this paper, we overview the outlines of MICCAI 2022’s main conference sessions and satellite workshops. Several inter... [more] MI2022-79
pp.26-37
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
 Results 1 - 10 of 10  /   
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