Junichi Kotoku
Overview
Explore the profile of Junichi Kotoku including associated specialties, affiliations and a list of published articles.
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Articles
45
Citations
769
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0
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Recent Articles
1.
Tsuji T, Yoshida S, Hommyo M, Oyama A, Kumagai S, Shiraishi K, et al.
J Imaging Inform Med
. 2024 Dec;
PMID: 39633213
Cone beam computed tomography (CBCT) images are convenient representations for obtaining information about patients' internal organs, but their lower image quality than those of treatment planning CT images constitutes an...
2.
Anetai Y, Doi K, Takegawa H, Koike Y, Yui M, Yoshida A, et al.
Phys Med Biol
. 2024 Nov;
69(24.
PMID: 39577089
Diffusion equation (DE) imaging processing is promising to enhance images showing lesions of bone metastasis (LBM). The Perona-Malik diffusion (PMD) model, which has been widely used and studied, is an...
3.
Hirata Y, Tsuji T, Kotoku J, Sata M, Kusunose K
Heart
. 2024 Jan;
110(8):586-593.
PMID: 38296266
Objective: The classification of pulmonary hypertension (PH) is crucial for determining the appropriate therapeutic strategy. We investigated whether machine learning (ML) algorithms may assist in echocardiographic PH prediction, where current...
4.
Kusunose K, Tsuji T, Hirata Y, Takahashi T, Sata M, Sato K, et al.
Eur Heart J Open
. 2024 Jan;
4(1):oead136.
PMID: 38188937
Aims: The aim of this study was to identify phenotypes with potential prognostic significance in aortic stenosis (AS) patients after transcatheter aortic valve replacement (TAVR) through a clustering approach. Methods...
5.
Kataoka A, Takata T, Yanagawa A, Kito K, Katayama T, Kozuma K, et al.
J Am Soc Echocardiogr
. 2023 Nov;
37(4):468-469.
PMID: 38008132
No abstract available.
6.
Kusunose K, Hirata Y, Yamaguchi N, Kosaka Y, Tsuji T, Kotoku J, et al.
Front Cardiovasc Med
. 2023 Jun;
10:1081628.
PMID: 37273880
Background: A deep learning (DL) model based on a chest x-ray was reported to predict elevated pulmonary artery wedge pressure (PAWP) as heart failure (HF). Objectives: The aim of this...
7.
Kataoka A, Takata T, Yanagawa A, Kito K, Arakawa M, Ishibashi R, et al.
JACC Asia
. 2023 May;
3(2):301-309.
PMID: 37181397
Background: The distribution of radiation exposure on the body surface of interventional echocardiographers during structural heart disease (SHD) procedures is unclear. Objectives: This study estimated and visualized radiation exposure on...
8.
Tsuji T, Hirata Y, Kusunose K, Sata M, Kumagai S, Shiraishi K, et al.
BMC Med Imaging
. 2023 May;
23(1):62.
PMID: 37161392
Background: This study was conducted to alleviate a common difficulty in chest X-ray image diagnosis: The attention region in a convolutional neural network (CNN) does not often match the doctor's...
9.
Yanagawa A, Takata T, Onimaru T, Honjo T, Sajima T, Kakinuma A, et al.
J Radiat Res
. 2023 Jan;
64(2):379-386.
PMID: 36702614
Catheterization for structural heart disease (SHD) requires fluoroscopic guidance, which exposes health care professionals to radiation exposure risk. Nevertheless, existing freestanding radiation shields for anesthesiologists are typically simple, uncomfortable rectangles....
10.
Seto H, Oyama A, Kitora S, Toki H, Yamamoto R, Kotoku J, et al.
Sci Rep
. 2022 Dec;
12(1):22599.
PMID: 36585468
No abstract available.