ogura toshihiro

Research theme for competitive and other funds (4)：

2018 - 2022 Development of a intention reading device by bedside electroencephalosic signal AI analysis for patients with speech disorders
2015 - 2018 Development of an intratracheal aspiration education system using a virtual endoscopy based on motion sensor technology
2012 - 2015 Construction of education system for swallow mechanism using the virtual CT cervical endoscopy
2009 - 2011 Development of novel education system for endotracheal suctioning using the virtual CT bronchoscopy.

Papers (133)：

Mitsuru Sato, Chihiro Tsuchida, Zen Hayama, Yohan Kondo, Masashi Okamoto, Toshihiro Ogura, Hiromitsu Daisaki. Contactless Operation System Development for Radiographic Consoles using a Motion Controller to Prevent Unknown Viruses: Proof of Concept. Medical Imaging and Information Sciences. 2024. 41. 1. 15-21
Haruyuki Watanabe, Hironori Fukuda, Yuina Ezawa, Eri Matsuyama, Yohan Kondo, Norio Hayashi, Toshihiro Ogura, Masayuki Shimosegawa. Automated angular measurement for puncture angle using a computer-aided method in ultrasound-guided peripheral insertion. Physical and engineering sciences in medicine. 2024
Haruyuki Watanabe, Saeko Hayashi, Yohan Kondo, Eri Matsuyama, Norio Hayashi, Toshihiro Ogura, Masayuki Shimosegawa. Quality control system for mammographic breast positioning using deep learning. Scientific Reports. 2023. 13. 1
Mitsuru Sato, Mizuki Narita, Naoya Takahashi, Yohan Kondo, Masashi Okamoto, Toshihiro Ogura. Development of a contactless operation system for radiographic consoles using an eye tracker for severe acute respiratory syndrome coronavirus 2 infection control: a feasibility study. Acta IMEKO. 2022. 11. 2. Article 38-1
Hideyoshi Mitsutake, Haruyuki Watanabe, Aya Sakaguchi, Kiyoshi Uchiyama, Yongbum Lee, Norio Hayashi, Masayuki Shimosegawa, Toshihiro Ogura. [Evaluation of Radiograph Accuracy in Skull X-ray Images Using Deep Learning]. Nihon Hoshasen Gijutsu Gakkai zasshi. 2022. 78. 1. 23-32

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MISC (143)：

一木呈礼紗, 林則夫, 會澤伴樹, 増田歩未, 小倉敏裕, 渡部晴之. 深層学習による頸部T2強調画像を用いた仮想脂肪抑制法の学習データ数の検討. JART: 日本診療放射線技師会誌. 2023. 70. 10. 1163-1163
會澤伴樹, 林則夫, 一木呈礼紗, 増田歩未, 渡部晴之, 小倉敏裕. MR画像を用いた仮想脂肪抑制法の検討画像生成ネットワークの比較. JART: 日本診療放射線技師会誌. 2023. 70. 10. 1163-1163
成田瑞生, 小倉敏裕, 佐藤充, 梅室愛華, 桜井咲弥, 芳里紗弥. 放射線検査部門における聴覚・視覚不自由患者に対する効率的な伝達方法を脳波AI解析による調査. ヘルスコミュニケーションウィークプログラム・抄録集. 2022. 2022. 96-97
光武秀悦, 渡部晴之, 坂口彩, 内山喜代志, 李鎔範, 林則夫, 下瀬川正幸, 小倉敏裕. 深層学習を用いた頭部単純X線画像における撮影精度の評価. 日本放射線技術学会雑誌. 2022. 78. 1. 23-32
寺下貴美, 及川憩人, 小澤颯, 佐藤哲大, 小倉敏裕. マーカーレス拡張現実を用いた仮想X線透視アプリケーションの開発. 医療情報学連合大会論文集. 2021. 41回. 1221-1222

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Books (13)：

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Lectures and oral presentations (340)：

Effects of the sampling frequency change in eye movement analysis using deep convolutional neural network: Comparison with other analyses by open annotated gaze data
(Asia-Pacific Association for Medical Informatics 2020)
Segmentation of tendon for rheumatoid arthritis using deep learning in ultrasonography
(The 22nd Asia Pacific League of Associations for Rheumatology 2020)
Development of a new image operation system for angiography based on detection of electroencephalogram signals using deep learning and eye tracking
(Cardiovascular and Interventional Radiological Society of Europe:CIRSE 2020 Summit (online) 2020)
Breast lesion segmentation in ultrasound images using deep convolutional neural network: comparison of two databases
(Korean Society of Radiological Science Conference 2020 2020)
Deep Learning based Bone Segmentation on whole-body MRI by using SegNet Network Architecture
(Korean Society of Radiological Science Conference 2020 2020)

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Work history (6)：

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Awards (11)：

2023/03 - International Conference on Radiography and Radiotherapy Certificate of Best Presentation Award
2022/11 - Radiological Society of North America Certificate of Merit Development of a training simulator using augmented reality that outputs x-ray images reflecting positioning without x-rays
2021/06 - MII Academic Achievement Awards
2018/04 - 日本放射線技術学会学術賞
2011/05 - European Society of Gastrointestinal & Abdominal Radiology Cum Laude

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