Akitoshi Katsumata
Overview
Explore the profile of Akitoshi Katsumata including associated specialties, affiliations and a list of published articles.
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75
Citations
1309
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Recent Articles
1.
Sakuraya T, Sonomura T, Emura K, Hirasaki E, Iwata T, Katsumata A, et al.
J Morphol
. 2025 Feb;
286(2):e70035.
PMID: 39985340
Over the course of its evolution, the human soleus muscle has rapidly increased in size and gained a more important role in bipedal locomotion. However, the detailed processes underlying these...
2.
Kohinata K, Esaki Y, Iida Y, Satomi C, Arai Y, Katsumata A
Oral Radiol
. 2024 Dec;
41(2):216-221.
PMID: 39676157
Objective: The horizontal tube-shifting technique can be adopted to separate overlapping buccal roots of the maxillary molar from the palatal root. A simulation study was performed to determine an appropriate...
3.
Ono R, Katsumata A, Fujikawa Y, Takahira E, Yamamoto T, Kanamura N
Sci Rep
. 2024 Mar;
14(1):7386.
PMID: 38548856
This study aimed to conduct a cross-sectional data analysis of the alveolar bone mineral density (al-BMD) in 225 patients of various ages and different sexes. The al-BMD value in the...
4.
Kobayashi D, Hayashi H, Nishigami R, Maeda T, Asahara T, Kanazawa Y, et al.
Phys Med Biol
. 2024 Mar;
69(7).
PMID: 38452379
The purpose of this study is to propose a novel blurring correction method that enables accurate quantitative analysis of the object edge when using energy-resolving photon counting detectors (ERPCDs). Although...
5.
Yang S, Kim K, Kise Y, Nozawa M, Mori M, Takata N, et al.
J Endod
. 2024 Feb;
50(5):627-636.
PMID: 38336338
Introduction: The purposes of this study were to evaluate the effect of the combined use of object detection for the classification of the C-shaped canal anatomy of the mandibular second ...
6.
Katsumata A
Jpn Dent Sci Rev
. 2023 Oct;
59:329-333.
PMID: 37811196
The application of artificial intelligence (AI) based on deep learning in dental diagnostic imaging is increasing. Several popular deep learning tasks have been applied to dental diagnostic images. Classification tasks...
7.
Iida Y, Nappi J, Kitano T, Hironaka T, Katsumata A, Yoshida H
Oral Radiol
. 2023 Feb;
39(3):553-562.
PMID: 36753006
Objectives: A videofluoroscopic swallowing study (VFSS) is conducted to detect aspiration. However, aspiration occurs within a short time and is difficult to detect. If deep learning can detect aspirations with...
8.
Katsumata A, Kohinata K, Esaki Y, Kawai M
Heliyon
. 2022 Nov;
8(11):e11507.
PMID: 36419656
Purpose: Evaluating the bone mineral density (BMD) of alveolar bone is useful for dental treatments. The DentalSCOPE is an image analysis system developed to evaluate the BMD of alveolar bone....
9.
Ariji Y, Gotoh M, Fukuda M, Watanabe S, Nagao T, Katsumata A, et al.
Sci Rep
. 2022 Nov;
12(1):18754.
PMID: 36335226
Although videofluorography (VFG) is an effective tool for evaluating swallowing functions, its accurate evaluation requires considerable time and effort. This study aimed to create a deep learning model for automated...
10.
Ariji Y, Mori M, Fukuda M, Katsumata A, Ariji E
Oral Surg Oral Med Oral Pathol Oral Radiol
. 2022 Oct;
134(6):749-757.
PMID: 36229373
Objective: The aim of this study was to create and assess a deep learning model using segmentation and transfer learning methods to visualize the proximity of the mandibular canal to...