研究者
J-GLOBAL ID:202001017256698664
更新日: 2025年03月25日 福田 元気
フクダ モトキ | Fukuda Motoki
- Motoki Fukuda, Sato Eida, Ikuo Katayama, Yukinori Takagi, Miho Sasaki, Misa Sumi, Yoshiko Ariji. A radiomics model combining machine learning and neural networks for high-accuracy prediction of cervical lymph node metastasis on ultrasound of head and neck squamous cell carcinoma. Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology. 2025
- Atsushi Danjo, Chiaki Kuwada, Reona Aijima, Asana Kamohara, Motoki Fukuda, Yoshiko Ariji, Eiichiro Ariji, Yoshio Yamashita. Limitations of panoramic radiographs in predicting mandibular wisdom tooth extraction and the potential of deep learning models to overcome them. Scientific reports. 2024. 14. 1. 30806-30806
- Michihito Nozawa, Motoki Fukuda, Shinya Kotaki, Daisuke Tomoda, Ayaka Morishita, Hironori Akiyama, Yoshiko Ariji. Evaluation of temporomandibular joint osteoarthritis using a new FRACTURE sequence of 3.0T magnetic resonance imaging. Dento maxillo facial radiology. 2024
- Motoki Fukuda, Shinya Kotaki, Michihito Nozawa, Chiaki Kuwada, Yoshitaka Kise, Eiichiro Ariji, Yoshiko Ariji. A cycle generative adversarial network for generating synthetic contrast-enhanced computed tomographic images from non-contrast images in the internal jugular lymph node-bearing area. Odontology. 2024
- Motoki Fukuda, Shinya Kotaki, Michihito Nozawa, Kaname Tsuji, Masahiro Watanabe, Hironori Akiyama, Yoshiko Ariji. An attempt to generate panoramic radiographs including jaw cysts using StyleGAN3. Dento maxillo facial radiology. 2024
- Yoshiko Ariji, Kaoru Kusano, Motoki Fukuda, Yo Wakata, Michihito Nozawa, Shinya Kotaki, Eiichiro Ariji, Shunsuke Baba. Two-step deep learning models for detection and identification of the manufacturers and types of dental implants on panoramic radiographs. Odontology. 2024
- Michihito Nozawa, Motoki Fukuda, Shinya Kotaki, Marino Araragi, Hironori Akiyama, Yoshiko Ariji. Can temporomandibular joint osteoarthritis be diagnosed on MRI proton density weighted images with diagnostic support from the latest deep learning classification models?. Dento maxillo facial radiology. 2024
- Yukiko Iwase, Tomoya Sugiki, Yoshitaka Kise, Masako Nishiyama, Michihito Nozawa, Motoki Fukuda, Yoshiko Ariji, Eiichiro Ariji. Deep learning classification performance for diagnosing condylar osteoarthritis in patients with dentofacial deformities using panoramic temporomandibular joint projection images. Oral radiology. 2024
- Motoki Fukuda, Michihito Nozawa, Hironori Akiyama, Eiichiro Ariji, Yoshiko Ariji. Improved soft-tissue visibility on cone-beam computed tomography with an image-generating artificial intelligence model using a cyclic generative adversarial network. Oral radiology. 2024
- Sato Eida, Motoki Fukuda, Ikuo Katayama, Yukinori Takagi, Miho Sasaki, Hiroki Mori, Maki Kawakami, Tatsuyoshi Nishino, Yoshiko Ariji, Misa Sumi. Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma. Cancers. 2024. 16. 2
- Takeshi Fujii, Chiaki Kuwada, Yoshitaka Kise, Motoki Fukuda, Mizuho Mori, Masako Nishiyama, Michihito Nozawa, Munetaka Naitoh, Yoshiko Ariji, Eiichiro Ariji. Differences in the panoramic appearance of cleft alveolus patients with or without a cleft palate. Imaging Science in Dentistry. 2024
- Yoshitaka Kise, Chiaki Kuwada, Mizuho Mori, Motoki Fukuda, Yoshiko Ariji, Eiichiro Ariji. Deep learning system for distinguishing between nasopalatine duct cysts and radicular cysts arising in the midline region of the anterior maxilla on panoramic radiographs. Imaging Science in Dentistry. 2024
- Yoshiko Ariji, Kazuyuki Araki, Motoki Fukuda, Michihito Nozawa, Chiaki Kuwada, Yoshitaka Kise, Eiichiro Ariji. Effects of the combined use of segmentation or detection models on the deep learning classification performance for cyst-like lesions of the jaws on panoramic radiographs: Preliminary research. ORAL SCIENCE INTERNATIONAL. 2023
- 森 瑞穂, 有地 淑子, 西山 航, 福田 元気, 勝又 明敏, 有地 榮一郎. ディープラーニングを使用した上顎犬歯を対象とする口内法X線撮影の撮影技術評価. 愛知学院大学歯学会誌. 2023. 61. 2. 122-122
- 岩瀬 有貴子, 木瀬 祥貴, 福田 元気, 野澤 道仁, 西山 雅子, 野原 洋, 有地 榮一郎. 深層学習システムを用いた変形性顎関節症の診断 顎関節パノラマ4分割画像とパノラマエックス線画像の比較. 愛知学院大学歯学会誌. 2023. 61. 2. 122-122
- Motoki Fukuda, Yoshitaka Kise, Munetaka Nitoh, Yoshiko Ariji, Hiroshi Fujita, Akitoshi Katsumata, Eiichiro Ariji. Deep learning system to predict the three-dimensional contact status between the mandibular third molar and mandibular canal using panoramic radiographs. Oral Science International. 2023
- Yoshitaka Kise, Yoshiko Ariji, Chiaki Kuwada, Motoki Fukuda, Eiichiro Ariji. Effect of deep transfer learning with a different kind of lesion on classification performance of pre-trained model: Verification with radiolucent lesions on panoramic radiographs. Imaging science in dentistry. 2023. 53. 1. 27-34
- Yoshiko Ariji, Mizuho Mori, Motoki Fukuda, Akitoshi Katsumata, Eiichiro Ariji. Automatic visualization of the mandibular canal in relation to an impacted mandibular third molar on panoramic radiographs using deep learning segmentation and transfer learning techniques. Oral surgery, oral medicine, oral pathology and oral radiology. 2022. 134. 6. 749-757
- Yoshiko Ariji, Masakazu Gotoh, Motoki Fukuda, Satoshi Watanabe, Toru Nagao, Akitoshi Katsumata, Eiichiro Ariji. A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing. Scientific reports. 2022. 12. 1. 18754-18754
- Shinya Kotaki, Takahito Nishiguchi, Marino Araragi, Hironori Akiyama, Motoki Fukuda, Eiichiro Ariji, Yoshiko Ariji. Transfer learning in diagnosis of maxillary sinusitis using panoramic radiography and conventional radiography. Oral radiology. 2022. 39. 3. 467-474
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