1986 - Image diagnosis of Oral and Maxillofacial lesions
Morphology and Function in head and neck regions
Radiographic study on head and neck cancer
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論文 (136件)：
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
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
