Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Naoki Tomii"'
Autor:
Kota Kujime, Hiroshi Seno, Kenzaburo Nakajima, Masatoshi Yamazaki, Ichiro Sakuma, Kenichiro Yamagata, Kengo Kusano, Naoki Tomii
Publikováno v:
Journal of Arrhythmia, Vol 40, Iss 4, Pp 948-957 (2024)
Abstract Background Predicting the origin of premature ventricular contraction (PVC) from the preoperative electrocardiogram (ECG) is important for catheter ablation therapies. We propose an explainable method that localizes PVC origin based on the s
Externí odkaz:
https://doaj.org/article/3a9e983ac40e47d5acda9ea591600b26
Autor:
Takumi Noda, Seiichi Takamatsu, Michitaka Yamamoto, Naoto Tomita, Toshihiro Itoh, Takashi Azuma, Ichiro Sakuma, Naoki Tomii
Publikováno v:
Communications Materials, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Daily monitoring of internal tissues with shape-conformable and breathable ultrasound (US) imaging probes is promising for early detection of diseases. In recent years, textile substrates are widely used for wearable devices since they satis
Externí odkaz:
https://doaj.org/article/7776eaf3fab943ef887c0cf45d53e706
Autor:
Junichi Sugita, Katsuhito Fujiu, Yukiteru Nakayama, Takumi Matsubara, Jun Matsuda, Tsukasa Oshima, Yuxiang Liu, Yujin Maru, Eriko Hasumi, Toshiya Kojima, Hiroshi Seno, Keisuke Asano, Ayumu Ishijima, Naoki Tomii, Masatoshi Yamazaki, Fujimi Kudo, Ichiro Sakuma, Ryozo Nagai, Ichiro Manabe, Issei Komuro
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Cardiac immune cells play various roles in the maintenance of homeostasis and diseases in the heart. Here the authors show that cardiac resident macrophages are a critical regulator of cardiac impulse conduction through amphiregulin production, contr
Externí odkaz:
https://doaj.org/article/4c3a1db08c0f44869b3b847bdde1ec4c
Publikováno v:
Applied Sciences, Vol 12, Iss 18, p 9044 (2022)
The visualization of motion is important in the diagnosis and treatment of aortic valve disease. It is difficult to perform using computed tomography (CT) because of motion blur. Existing research focuses on suppressing or removing motion blur. The p
Externí odkaz:
https://doaj.org/article/be3d9b59d7354899bbec9ec1b8566833
Autor:
Gakuto Aoyama, Longfei Zhao, Shun Zhao, Xiao Xue, Yunxin Zhong, Haruo Yamauchi, Hiroyuki Tsukihara, Eriko Maeda, Kenji Ino, Naoki Tomii, Shu Takagi, Ichiro Sakuma, Minoru Ono, Takuya Sakaguchi
Publikováno v:
Journal of Imaging, Vol 8, Iss 1, p 11 (2022)
Accurate morphological information on aortic valve cusps is critical in treatment planning. Image segmentation is necessary to acquire this information, but manual segmentation is tedious and time consuming. In this paper, we propose a fully automati
Externí odkaz:
https://doaj.org/article/c72afddafb2940a4b090765ddea58ca0
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery.
Purpose Tissue deformation recovery is to reconstruct the change in shape and surface strain caused by tool-tissue interaction or respiration, which is essential for providing motion and shape information that benefits the improvement of the safety o
Autor:
Nitaro Shibata, Shin Inada, Kazuo Nakazawa, Takashi Ashihara, Naoki Tomii, Masatoshi Yamazaki, Haruo Honjo, Hiroshi Seno, Ichiro Sakuma
Publikováno v:
Advanced Biomedical Engineering. 11:117-135
Publikováno v:
Journal of Medical and Biological Engineering. 41:953-965
We propose an in-silico deep reinforcement learning scheme that combines a computer simulation model of cardiac tissue and deep reinforcement learning to unveil an effective ablation strategy for atrial fibrillation (AF). The deep neural network-base
Publikováno v:
IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 69(12)
Conventionally, ultrasound (US) diagnosis is performed using hand-held rigid probes. Such devices are difficult to be used for long-term monitoring because they need to be continuously pressed against the body to remove the air between the probe and
Publikováno v:
Applied Sciences; Volume 12; Issue 18; Pages: 9044
The visualization of motion is important in the diagnosis and treatment of aortic valve disease. It is difficult to perform using computed tomography (CT) because of motion blur. Existing research focuses on suppressing or removing motion blur. The p