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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
PRMU, IPSJ-CVIM, VRSJ-SIG-MR, MVE 2025-01-21
12:50
Fukuoka (Fukuoka, Online)
(Primary: On-site, Secondary: Online)
Surrogate Modeling of Refrigerant Circuits Using Machine Learning
Naoto Naka, Bisser Raytchev (Hiroshima Univ.), Takumi Uemura, Mikimasa Kawaguchi, Kenta Kobayashi, Yoshiharu Ueki, Yoshitaka Wada (Mazda), Toru Higaki, Kazufumi Kaneda (Hiroshima Univ.) PRMU2024-33
This study addresses the computational inefficiency of parameter studies for automotive refrigerant circuits, which curr... [more] PRMU2024-33
pp.1-6
MI 2024-09-06
10:40
Hiroshima (Hiroshima, Online)
(Primary: On-site, Secondary: Online)
[Invited Talk] Experience in Medical- Engineering and Academia-Industry Collaboration at Hiroshima University
Toru Higaki (Hiroshima Univ.) MI2024-22
(To be available after the conference date) [more] MI2024-22
pp.16-18
MI 2024-09-06
11:15
Hiroshima (Hiroshima, Online)
(Primary: On-site, Secondary: Online)
Development of a Non-contact ECG Waveform Estimation System Using Machine Learning
Hiroto Tamura, Hirotaka Inoue (KOSEN, Kure College), Toru Higaki (Hiroshima Univ.) MI2024-23
The purpose of this study is to develop a non-contact ECG waveform estimation system using machine learning from camera ... [more] MI2024-23
pp.19-22
MI 2024-09-06
11:30
Hiroshima (Hiroshima, Online)
(Primary: On-site, Secondary: Online)
Breathing wave measurement system using a wear-less device
Yuto Kojima, Hirotaka Inoue (Kure Kosen), Toru Higaki (Hiroshima Univ.) MI2024-24
A computerized tomography (CT) can cause problems: difficulty to ensure a clear view for the patient, side effects of co... [more] MI2024-24
pp.23-26
PRMU 2021-12-17
10:30
Online Online (Online) Data Augmentation to Robust Deep Learning-Based Lesion Classification for CT Image with Different Imaging Conditions
Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba (FUJITSU), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Masahiko Shimada (Fujitsu Japan) PRMU2021-48
In this paper, we propose a data augmentation to robust DL (deep learning)-based lesion classification for CT image with... [more] PRMU2021-48
pp.130-135
PRMU 2019-10-19
10:45
Tokyo (Tokyo) Localization of Diffuse Lung Deseases' Lesions and Quantification of Their Volumes Using Deep Learning
Hiroaki Takebe, Yasutaka Moriwaki, Nobuhiro Miyazaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Hirotaka Kobayashi, Machiko Nakagawa, Masahiko Shimada, Kenji Kitayama (FUJITSU) PRMU2019-44
Changes in the amount of lesion over time are important information for diagnostic imaging of diffuse lung disease in wh... [more] PRMU2019-44
pp.67-72
MI 2019-07-05
17:35
Hokkaido Future Univ. Hakodate (Hokkaido) [Poster Presentation] Generation of Gadolinium Contrast-enhanced MR Images using Circulation Simulator
Toru Higaki, Yuko Nakamura, Fuminari Tatsugami, Kazuo Awai (Hiroshima Univ.) MI2019-24
 [more] MI2019-24
pp.23-26
PRMU, SP 2017-06-23
11:00
Miyagi (Miyagi) Similar CT image retrieval method based on lesion natures and their three-dimensional distribution
Hiroaki Takebe, Yasutaka Moriwaki, Takayuki Baba (FUJITSU LAB.), Hiroaki Terada, Toru Higaki, Kazuo Awai (Hiroshima Univ.), Akio Ozawa, Kohei Murao, Yasuharu Ogino (FUJITSU), Mengjiao Wang, Rujie Liu (FRDC) PRMU2017-35 SP2017-11
When radiologists encounter a difficult case to diagnose, retrieval of morphologically similar cases in which final diag... [more] PRMU2017-35 SP2017-11
pp.57-62
 Results 1 - 8 of 8  /   
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