Search Results - "Yoshiko Ariji"

Evaluation of an artificial intelligence system for detecting vertical root fracture on panoramic radiography by Fukuda, Motoki, Inamoto, Kyoko, Shibata, Naoki, Ariji, Yoshiko, Yanashita, Yudai, Kutsuna, Shota, Nakata, Kazuhiko, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro

“…Objectives The aim of this study was to evaluate the use of a convolutional neural network (CNN) system for detecting vertical root fracture (VRF) on panoramic…”
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Pulp regeneration by transplantation of dental pulp stem cells in pulpitis: a pilot clinical study by Nakashima, Misako, Iohara, Koichiro, Murakami, Masashi, Nakamura, Hiroshi, Sato, Yayoi, Ariji, Yoshiko, Matsushita, Kenji

“…Experiments have previously demonstrated the therapeutic potential of mobilized dental pulp stem cells (MDPSCs) for complete pulp regeneration. The aim of the…”
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A deep-learning artificial intelligence system for assessment of root morphology of the mandibular first molar on panoramic radiography by Hiraiwa, Teruhiko, Ariji, Yoshiko, Fukuda, Motoki, Kise, Yoshitaka, Nakata, Kazuhiko, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro

“…The distal root of the mandibular first molar occasionally has an extra root, which can directly affect the outcome of endodontic therapy. In this study, we…”
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Tooth detection and classification on panoramic radiographs for automatic dental chart filing: improved classification by multi-sized input data by Muramatsu, Chisako, Morishita, Takumi, Takahashi, Ryo, Hayashi, Tatsuro, Nishiyama, Wataru, Ariji, Yoshiko, Zhou, Xiangrong, Hara, Takeshi, Katsumata, Akitoshi, Ariji, Eiichiro, Fujita, Hiroshi

“…Objectives Dental state plays an important role in forensic radiology in case of large scale disasters. However, dental information stored in dental clinics…”
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Deep-learning classification using convolutional neural network for evaluation of maxillary sinusitis on panoramic radiography by Murata, Makoto, Ariji, Yoshiko, Ohashi, Yasufumi, Kawai, Taisuke, Fukuda, Motoki, Funakoshi, Takuma, Kise, Yoshitaka, Nozawa, Michihito, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro

“…Objectives To apply a deep-learning system for diagnosis of maxillary sinusitis on panoramic radiography, and to clarify its diagnostic performance. Methods…”
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Deep learning object detection of maxillary cyst-like lesions on panoramic radiographs: preliminary study by Watanabe, Hirofumi, Ariji, Yoshiko, Fukuda, Motoki, Kuwada, Chiaki, Kise, Yoshitaka, Nozawa, Michihito, Sugita, Yoshihiko, Ariji, Eiichiro

“…Objectives This study aimed to examine the performance of deep learning object detection technology for detecting and identifying maxillary cyst-like lesions…”
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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 by Ariji, Yoshiko, Mori, Mizuho, Fukuda, Motoki, Katsumata, Akitoshi, Ariji, Eiichiro

“…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…”
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Automatic detection and classification of radiolucent lesions in the mandible on panoramic radiographs using a deep learning object detection technique by Ariji, Yoshiko, Yanashita, Yudai, Kutsuna, Syota, Muramatsu, Chisako, Fukuda, Motoki, Kise, Yoshitaka, Nozawa, Michihito, Kuwada, Chiaki, Fujita, Hiroshi, Katsumata, Akitoshi, Ariji, Eiichiro

“…The aim of this study was to investigate whether a deep learning object detection technique can automatically detect and classify radiolucent lesions in the…”
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Comparison of 3 deep learning neural networks for classifying the relationship between the mandibular third molar and the mandibular canal on panoramic radiographs by Fukuda, Motoki, Ariji, Yoshiko, Kise, Yoshitaka, Nozawa, Michihito, Kuwada, Chiaki, Funakoshi, Takuma, Muramatsu, Chisako, Fujita, Hiroshi, Katsumata, Akitoshi, Ariji, Eiichiro

“…The aim of this study was to compare time and storage space requirements, diagnostic performance, and consistency among 3 image recognition convolutional…”
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A deep transfer learning approach for the detection and diagnosis of maxillary sinusitis on panoramic radiographs by Mori, Mizuho, Ariji, Yoshiko, Katsumata, Akitoshi, Kawai, Taisuke, Araki, Kazuyuki, Kobayashi, Kaoru, Ariji, Eiichiro

“…[Abstract] To investigate the use of transfer learning when applying a deep learning source model from one institution (institution A) to another institution…”
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Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology by Ariji, Yoshiko, Kise, Yoshitaka, Fukuda, Motoki, Kuwada, Chiaki, Ariji, Eiichiro

“…The purpose of this study was to establish a deep-learning model for segmenting the cervical lymph nodes of oral cancer patients and diagnosing metastatic or…”
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Performance of deep learning object detection technology in the detection and diagnosis of maxillary sinus lesions on panoramic radiographs by Kuwana, Ryosuke, Ariji, Yoshiko, Fukuda, Motoki, Kise, Yoshitaka, Nozawa, Michihito, Kuwada, Chiaki, Muramatsu, Chisako, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro

“…The first aim of this study was to determine the performance of a deep learning object detection technique in the detection of maxillary sinuses on panoramic…”
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Detection and classification of unilateral cleft alveolus with and without cleft palate on panoramic radiographs using a deep learning system by Kuwada, Chiaki, Ariji, Yoshiko, Kise, Yoshitaka, Funakoshi, Takuma, Fukuda, Motoki, Kuwada, Tsutomu, Gotoh, Kenichi, Ariji, Eiichiro

“…Although panoramic radiography has a role in the examination of patients with cleft alveolus (CA), its appearances is sometimes difficult to interpret. The…”
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A preliminary deep learning study on automatic segmentation of contrast-enhanced bolus in videofluorography of swallowing by Ariji, Yoshiko, Gotoh, Masakazu, Fukuda, Motoki, Watanabe, Satoshi, Nagao, Toru, Katsumata, Akitoshi, Ariji, Eiichiro

“…Although videofluorography (VFG) is an effective tool for evaluating swallowing functions, its accurate evaluation requires considerable time and effort. This…”
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Transfer learning in diagnosis of maxillary sinusitis using panoramic radiography and conventional radiography by Kotaki, Shinya, Nishiguchi, Takahito, Araragi, Marino, Akiyama, Hironori, Fukuda, Motoki, Ariji, Eiichiro, Ariji, Yoshiko

“…Objectives To clarify the performance of transfer learning with a small number of Waters’ images at institution B in diagnosing maxillary sinusitis, based on a…”
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Performance of deep learning models constructed using panoramic radiographs from two hospitals to diagnose fractures of the mandibular condyle by Nishiyama, Masako, Ishibashi, Kenichiro, Ariji, Yoshiko, Fukuda, Motoki, Nishiyama, Wataru, Umemura, Masahiro, Katsumata, Akitoshi, Fujita, Hiroshi, Ariji, Eiichiro

“…The present study aimed to verify the classification performance of deep learning (DL) models for diagnosing fractures of the mandibular condyle on panoramic…”
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Automatic detection of cervical lymph nodes in patients with oral squamous cell carcinoma using a deep learning technique: a preliminary study by Ariji, Yoshiko, Fukuda, Motoki, Nozawa, Michihito, Kuwada, Chiaki, Goto, Mitsuo, Ishibashi, Kenichiro, Nakayama, Atsushi, Sugita, Yoshihiko, Nagao, Toru, Ariji, Eiichiro

“…Objective To apply a deep learning object detection technique to CT images for detecting cervical lymph nodes metastasis in patients with oral cancers, and to…”
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CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning classification by Ariji, Yoshiko, Sugita, Yoshihiko, Nagao, Toru, Nakayama, Atsushi, Fukuda, Motoki, Kise, Yoshitaka, Nozawa, Michihito, Nishiyama, Masako, Katumata, Akitoshi, Ariji, Eiichiro

“…Objective To clarify CT diagnostic performance in extranodal extension of cervical lymph node metastases using deep learning classification. Methods…”
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Magnetic resonance and sonographic imagings of masticatory muscle myalgia in temporomandibular disorder patients by Ariji, Yoshiko, Ariji, Eiichiro

“…This article reviews recently published studies investigating the MRI and sonographic diagnosis of masticatory muscle myalgia in temporomandibular disorder…”
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Reply to the letter to the editor by Ariji, Yoshiko, DDS, PhD

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